This Presentation focus on wt is business intelligent and tool available in market and which is demand high in other competitor and details about cognos ...
The document provides an evaluation guide for selecting streaming data analytics solutions. It discusses evaluating solutions based on business considerations like time and cost to implement, architecture, event collection and processing capabilities, security, operations, analytics functionality, and business process modeling support. The guide outlines specific criteria in each of these categories to consider when choosing the best streaming analytics tool for an organization's needs.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
This document discusses a case study of a regional community bank that improved business process efficiency using a logical data warehouse from Denodo. The bank used Denodo to aggregate data from multiple cloud and on-premise sources, which it then used to power self-service reports, dashboards, and real-time operations. This improved reporting turnaround times from 2-3 days to 2 hours and allowed loan processing to be done in real-time. Denodo provided a centralized data platform that was flexible enough to easily incorporate new data sources from acquisitions.
The document discusses building the bank of the future through embracing emerging technologies, remaining flexible to adopt new business models, and putting customers at the center. It presents a reference architecture for a real-time, event-driven engagement system using microservices, distributed messaging, and cloud native scalability. The architecture also leverages data through streaming analytics, AI, and machine learning to drive personalization and differentiate the bank. Additionally, it discusses growing the bank's ecosystem through a plug-and-play capability layer and establishing an agile innovation culture within the organization.
Data centric security key to cloud and digital businessUlf Mattsson
Recent breaches demonstrate the urgent need to secure enterprise identities against cyberthreats that target today’s hybrid IT environment of cloud, mobile and on-premises. The rapid rise of cloud databases, storage and applications has led to unease among adopters over the security of their data. Whether it is data stored in a public, private or hybrid cloud, or used in third party SaaS applications, companies have good reason to be concerned. The biggest challenge in this interconnected world is merging data security with data value and productivity. If we are to realize the benefits promised by these new ways of doing business, we urgently need a data-centric strategy to protect the sensitive data flowing through these digital business systems.
MicroStrategy 9 vs SAP BusinessObjects 4.1BiBoard.Org
A whitepaper from MicroStrategy Inc. comparing MicroStrategy 9.4.1 and SAP BusinessObjects 4.1. Source: https://www.microstrategy.com/us/company/white-papers
IRJET - Healthcare Data Storage using BlockchainIRJET Journal
This document discusses using blockchain technology for healthcare data storage. It begins by introducing blockchain and how it can improve data security, transparency and access for healthcare applications. It then reviews related work applying blockchain to healthcare, medical records, clinical trials and more. The document proposes a system using blockchain to securely store healthcare data records and transactions. The system would create patient accounts, allow medical reports to be submitted, generate transactions, add blocks of transactions to the blockchain, and enable validation of insurance claims. In conclusion, the document discusses how blockchain can efficiently scale to handle large healthcare data volumes and users while facilitating easier interoperability between systems.
28 15141Secure Data Sharing with Data Partitioning in Big Data33289 24 12-2017rahulmonikasharma
Hadoop is a framework for the transformation analysis of very huge data. This paper presents an distributed approach for data storage with the help of Hadoop distributed file system (HDFS). This scheme overcomes the drawbacks of other data storage scheme, as it stores the data in distributed format. So, there is no chance of any loss of data. HDFS stores the data in the form of replica’s, it is advantageous in case of failure of any node; user is able to easily recover from data loss unlike other storage system, if you loss then you cannot. We have implemented ID-Based Ring Signature Scheme to provide secure data sharing among the network, so that only authorized person have access to the data. System is became more attack prone with the help of Advanced Encryption Standard (AES). Even if attacker is successful in getting source data but it’s unable to decode it.
Isaca journal - bridging the gap between access and security in big data...Ulf Mattsson
Organizations are failing to truly secure sensitive data in big data environments due to prioritizing data access over security. Traditional security methods obstruct access. Tokenization bridges this gap by replacing sensitive data with randomized tokens, securing data while still enabling analytics. A proper data security methodology includes classifying sensitive data, discovering its locations, applying the best security method like tokenization, enforcing policy, and monitoring access. This balances privacy, usability, and compliance.
The document provides an evaluation guide for selecting streaming data analytics solutions. It discusses evaluating solutions based on business considerations like time and cost to implement, architecture, event collection and processing capabilities, security, operations, analytics functionality, and business process modeling support. The guide outlines specific criteria in each of these categories to consider when choosing the best streaming analytics tool for an organization's needs.
Data Virtualization for Accelerated Digital Transformation in Banking and Fin...Denodo
This document discusses a case study of a regional community bank that improved business process efficiency using a logical data warehouse from Denodo. The bank used Denodo to aggregate data from multiple cloud and on-premise sources, which it then used to power self-service reports, dashboards, and real-time operations. This improved reporting turnaround times from 2-3 days to 2 hours and allowed loan processing to be done in real-time. Denodo provided a centralized data platform that was flexible enough to easily incorporate new data sources from acquisitions.
The document discusses building the bank of the future through embracing emerging technologies, remaining flexible to adopt new business models, and putting customers at the center. It presents a reference architecture for a real-time, event-driven engagement system using microservices, distributed messaging, and cloud native scalability. The architecture also leverages data through streaming analytics, AI, and machine learning to drive personalization and differentiate the bank. Additionally, it discusses growing the bank's ecosystem through a plug-and-play capability layer and establishing an agile innovation culture within the organization.
Data centric security key to cloud and digital businessUlf Mattsson
Recent breaches demonstrate the urgent need to secure enterprise identities against cyberthreats that target today’s hybrid IT environment of cloud, mobile and on-premises. The rapid rise of cloud databases, storage and applications has led to unease among adopters over the security of their data. Whether it is data stored in a public, private or hybrid cloud, or used in third party SaaS applications, companies have good reason to be concerned. The biggest challenge in this interconnected world is merging data security with data value and productivity. If we are to realize the benefits promised by these new ways of doing business, we urgently need a data-centric strategy to protect the sensitive data flowing through these digital business systems.
MicroStrategy 9 vs SAP BusinessObjects 4.1BiBoard.Org
A whitepaper from MicroStrategy Inc. comparing MicroStrategy 9.4.1 and SAP BusinessObjects 4.1. Source: https://www.microstrategy.com/us/company/white-papers
IRJET - Healthcare Data Storage using BlockchainIRJET Journal
This document discusses using blockchain technology for healthcare data storage. It begins by introducing blockchain and how it can improve data security, transparency and access for healthcare applications. It then reviews related work applying blockchain to healthcare, medical records, clinical trials and more. The document proposes a system using blockchain to securely store healthcare data records and transactions. The system would create patient accounts, allow medical reports to be submitted, generate transactions, add blocks of transactions to the blockchain, and enable validation of insurance claims. In conclusion, the document discusses how blockchain can efficiently scale to handle large healthcare data volumes and users while facilitating easier interoperability between systems.
28 15141Secure Data Sharing with Data Partitioning in Big Data33289 24 12-2017rahulmonikasharma
Hadoop is a framework for the transformation analysis of very huge data. This paper presents an distributed approach for data storage with the help of Hadoop distributed file system (HDFS). This scheme overcomes the drawbacks of other data storage scheme, as it stores the data in distributed format. So, there is no chance of any loss of data. HDFS stores the data in the form of replica’s, it is advantageous in case of failure of any node; user is able to easily recover from data loss unlike other storage system, if you loss then you cannot. We have implemented ID-Based Ring Signature Scheme to provide secure data sharing among the network, so that only authorized person have access to the data. System is became more attack prone with the help of Advanced Encryption Standard (AES). Even if attacker is successful in getting source data but it’s unable to decode it.
Isaca journal - bridging the gap between access and security in big data...Ulf Mattsson
Organizations are failing to truly secure sensitive data in big data environments due to prioritizing data access over security. Traditional security methods obstruct access. Tokenization bridges this gap by replacing sensitive data with randomized tokens, securing data while still enabling analytics. A proper data security methodology includes classifying sensitive data, discovering its locations, applying the best security method like tokenization, enforcing policy, and monitoring access. This balances privacy, usability, and compliance.
Data Virtualization: Introduction and Business Value (UK)Denodo
This document provides an overview of a webinar on data virtualization and the Denodo platform. The webinar agenda includes an introduction to adaptive data architectures and data virtualization, benefits of data virtualization, a demo of the Denodo platform, and a question and answer session. Key takeaways are that traditional data integration technologies do not support today's complex, distributed data environments, while data virtualization provides a way to access and integrate data across multiple sources.
This document is the first deliverable of the Lean Big Data work package 7 (WP7). The main goal of the package 7 is to provide the use cases applications that will be used to validate the Lean Big Data platform. To this end, an analysis of requirement of each use case will be provided in the scope.This analysis will be used as basis for the description of the evaluation, benchmarking and validation of the Lean Big Data platform.
This deliverable comprises the analysis of requirements for the following case of study provided in the context of Lean Big Data: Data Centre monitoring Case Study, Electronic Alignment of Direct Debit transactions Case Study, Social Network-based Area surveillance Case Study and Targeted Advertisement Case Study.
Delivering scalable and high performance BI with least IT effortBiBoard.Org
This document presents an overview of the technical results of a joint-MicroStrategy and HP
performance benchmark. The tests show how MicroStrategy Business Intelligence (BI) Platform and
HP Integrity Servers provide a scalable and cost-effective solution for organizations looking to deploy
mission critical Enterprise BI applications
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
This document introduces MicroStrategy 9.2 and its new capabilities for visualizing business data. It discusses [1] Visual Insight, which allows users to get insights from data in under 30 minutes; [2] Dashboard Applications, which publish information throughout enterprises; and [3] Mobile Intelligence, which unleashes information on mobile devices. The document demonstrates how MicroStrategy provides faster, more visual ways to access and share business insights.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
Watch full webinar here: https://bit.ly/3mfFJqb
Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.
Watch this on-demand session to learn how big data fabric enabled by Data Virtualization:
- Provides lightning fast self-service data access to business users
- Centralizes data security, governance, and data privacy
- Fulfills the promise of data lakes to provide actionable insights
This document discusses how businesses can unlock value from data using analytics. It notes that the volume and variety of available data is growing rapidly due to sources like IoT. Analytics can help businesses make faster, better decisions by delivering insights across departments like marketing, sales, and customer experience. The goal is for businesses to be able to manage operations in real-time using analytics to track things like customer journeys, behavior, and sales. This requires flexible technology and expertise to collect data from anywhere, correlate all information, and deliver agile analytics.
A Study on Big Data Privacy Protection Models using Data Masking Methods IJECEIAES
This document discusses big data privacy protection models using data masking methods. It begins with an introduction to big data and the need for privacy protection in big data systems. It then describes research on using data masking techniques like encryption, tokenization, pseudonymization and randomization to protect sensitive data. The document discusses dynamic data masking which applies masks in real-time based on user roles. It also covers big data masking tools that can mask data on Hadoop systems at large scale. Overall, the document analyzes how data masking methods can help achieve big data privacy and compliance with privacy regulations.
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/3kr0oq4
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?
Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!
Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
In recent days Cloud computing is a rising technique
which offers data sharing with more efficient, effective and
economical approaches between group members. To create an
authentic and anonymous data sharing, IDentity based Ring
Signature (ID-RS) is one of the promising technique between
the groups. Ring signature scheme permits the manager or data
owner to authenticate into the system in anonymous manner.
In conventional Public Key Infrastructure (PKI) data sharing
scheme contains certificate authentication process, which is a
bottleneck because of its high cost. To avoid this problem, we
proposed Cost Optimized Identity based Ring Signature with
forward secrecy (COIRS) scheme. This scheme helps to remove
the traditional certificate verification process. Only once the user
needs to be verified by the manager giving his public details. The
cost and time required for this process is comparatively less than
traditional public key infrastructure. If the secret key holder has
been compromised, all early generated signatures remains valid
(Forward Secrecy). This paper discuss about how to optimize the
time and cost when sharing the files to the cloud. We provide a
protection from collision attack, which means revoked users will
not get the original documents. In general better efficiency and
secrecy can be provided for group sharing by applying above
approaches.
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationDenodo
Watch full webinar here: https://bit.ly/3ohtRqm
Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.
Watch on-demand this webinar to learn:
- How to create a logical data fabric with Denodo
- How to leverage the a data lake for MPP Acceleration and Summary Views
- How to leverage Presto with Denodo for file based data lakes (ie. S3, ADLS, HDFS, etc.)
IRJET- A Survey on File Storage and Retrieval using Blockchain TechnologyIRJET Journal
This document discusses using blockchain technology for secure file storage and retrieval. It first describes existing technologies like distributed file systems, InterPlanetary File System (IPFS), storing file hashes on blockchain, Filecoin, and Storj. It then proposes a system using Ethereum, Swarm, and Whisper that encrypts files before storing encrypted blocks on Swarm and recording hashes on blockchain. File access permissions are shared via Whisper messages. This decentralized system improves security, accessibility, and avoids data redundancy compared to traditional methods.
SplunkLive! New York April 2013 - Enrich Machine Data with Structured DataSplunk
This document discusses Splunk DB Connect, which allows users to enrich machine data stored in Splunk with additional context from structured data in relational databases. It provides an overview of DB Connect's features, including database connection management, SQL lookups to enrich search results, and extensions to the Splunk search language to execute database queries. The document also shares examples of how customers use DB Connect to power search analytics and enable exceptional customer service. It concludes that combining machine data with structured context from databases provides better insights for IT, security, and business users.
Database Management in Different Applications of IOTijceronline
In the recent years, the Internet of Things (IoT) is considered as a part of the Internet of future and makes it possible for connecting various smart objects together through the Internet. The use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult and challenging. This paper discusses the different Databases used for different applications in IOT.
What Is Solution Architecture? The Black Art Of I/T Solution ArchitectureNick Noecker
A point of view of "smart meter." From the front lines of the fire fight...through the lens of actual global engagements reconfigured into a composite. You can never predict the outcome of a Big Burn.
OpenText PowerDOCS: A Cloud Solution for Document GenerationMarc St-Pierre
OpenText offers a comprehensive cloud solution that functions as a single source for document generation across all use cases, channels, technology platforms, and business systems.
In-Network Distributed Analytics on Data-Centric IoT Network for BI-Service A...IRJET Journal
The document discusses in-network distributed analytics on data-centric IoT networks for business intelligence (BI) service applications. It proposes a knowledge analytic framework at the IoT network structure level and an IoT operational platform to enable in-network analytics for BI services. The framework is intended to extract knowledge from IoT data sources in real-time to support applications that require low-cost, high-quality insights on a timely basis.
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Denodo
Watch full webinar here: https://bit.ly/2O9gcBT
Denodo 8 expands data integration and management to data fabric with advanced data virtualization capabilities. What are they? Denodo CTO Alberto Pan will touch upon the key Denodo 8 capabilities.
Denodo’s Data Catalog: Bridging the Gap between Data and Business (APAC)Denodo
Watch full webinar here: https://bit.ly/3nxGFam
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.
In this session you will learn about:
- The role of a virtual semantic layer in self service initiatives
- What are the key capabilities of Denodo’s new Data Catalog
- Best practices and advanced tips for a successful deployment
- How customers are using the Denodo’s Data Catalog to enable self-service initiatives
Business intelligence (BI) is the analysis of raw data to provide useful information for business decision-making. BI tools transform large amounts of data from various sources into insights through data management, discovery, and reporting. Data management tools prepare data for analysis. Data discovery applications like data mining, OLAP, and predictive analytics help users find patterns. Reporting tools such as visualizations, dashboards, and scorecards present analyzed data to convey insights easily. There are many categories of BI tools from various vendors that organizations can use to transform data into strategic information.
Buisness Intelligence and Web AnalyticsVincent Maher
The document discusses using business intelligence (BI) and web analytics tools for media companies using open source software. Specifically:
1. It provides background on the Mail & Guardian Online and Amatomu.com websites and challenges around centralized data, vendor lock-in, and lacking BI capabilities for new areas.
2. It considers developing custom open source solutions versus packaged software for BI, noting benefits and risks of each approach.
3. The document outlines their plan to develop a custom open source BI system using frameworks like CodeIgniter and tools like FusionCharts to provide real-time analytics and visualization dashboards tailored to their needs.
Data Virtualization: Introduction and Business Value (UK)Denodo
This document provides an overview of a webinar on data virtualization and the Denodo platform. The webinar agenda includes an introduction to adaptive data architectures and data virtualization, benefits of data virtualization, a demo of the Denodo platform, and a question and answer session. Key takeaways are that traditional data integration technologies do not support today's complex, distributed data environments, while data virtualization provides a way to access and integrate data across multiple sources.
This document is the first deliverable of the Lean Big Data work package 7 (WP7). The main goal of the package 7 is to provide the use cases applications that will be used to validate the Lean Big Data platform. To this end, an analysis of requirement of each use case will be provided in the scope.This analysis will be used as basis for the description of the evaluation, benchmarking and validation of the Lean Big Data platform.
This deliverable comprises the analysis of requirements for the following case of study provided in the context of Lean Big Data: Data Centre monitoring Case Study, Electronic Alignment of Direct Debit transactions Case Study, Social Network-based Area surveillance Case Study and Targeted Advertisement Case Study.
Delivering scalable and high performance BI with least IT effortBiBoard.Org
This document presents an overview of the technical results of a joint-MicroStrategy and HP
performance benchmark. The tests show how MicroStrategy Business Intelligence (BI) Platform and
HP Integrity Servers provide a scalable and cost-effective solution for organizations looking to deploy
mission critical Enterprise BI applications
Privacy Preserving in Authentication Protocol for Shared Authority Based Clou...IRJET Journal
This document proposes a privacy-preserving authentication protocol for shared authority-based cloud computing. It discusses security and privacy issues with data sharing among users in cloud storage. The proposed protocol uses a shared authority-based privacy preservation authentication protocol (SecCloud) to address privacy and security concerns for cloud storage. It also uses SecCloud+ to remove data de-duplication. The protocol aims to provide scalability, integrity checking, secure de-duplication, and prevent shoulder surfing attacks during the authentication process in cloud computing.
This document introduces MicroStrategy 9.2 and its new capabilities for visualizing business data. It discusses [1] Visual Insight, which allows users to get insights from data in under 30 minutes; [2] Dashboard Applications, which publish information throughout enterprises; and [3] Mobile Intelligence, which unleashes information on mobile devices. The document demonstrates how MicroStrategy provides faster, more visual ways to access and share business insights.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
How to Swiftly Operationalize the Data Lake for Advanced Analytics Using a Lo...Denodo
Watch full webinar here: https://bit.ly/3mfFJqb
Presented at Chief Data Officer Live Series 2021, ASEAN (August Edition)
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best-of-breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform, and provide real-time data integration while delivering a self-service data platform to business users.
Watch this on-demand session to learn how big data fabric enabled by Data Virtualization:
- Provides lightning fast self-service data access to business users
- Centralizes data security, governance, and data privacy
- Fulfills the promise of data lakes to provide actionable insights
This document discusses how businesses can unlock value from data using analytics. It notes that the volume and variety of available data is growing rapidly due to sources like IoT. Analytics can help businesses make faster, better decisions by delivering insights across departments like marketing, sales, and customer experience. The goal is for businesses to be able to manage operations in real-time using analytics to track things like customer journeys, behavior, and sales. This requires flexible technology and expertise to collect data from anywhere, correlate all information, and deliver agile analytics.
A Study on Big Data Privacy Protection Models using Data Masking Methods IJECEIAES
This document discusses big data privacy protection models using data masking methods. It begins with an introduction to big data and the need for privacy protection in big data systems. It then describes research on using data masking techniques like encryption, tokenization, pseudonymization and randomization to protect sensitive data. The document discusses dynamic data masking which applies masks in real-time based on user roles. It also covers big data masking tools that can mask data on Hadoop systems at large scale. Overall, the document analyzes how data masking methods can help achieve big data privacy and compliance with privacy regulations.
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/3kr0oq4
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?
Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!
Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
In recent days Cloud computing is a rising technique
which offers data sharing with more efficient, effective and
economical approaches between group members. To create an
authentic and anonymous data sharing, IDentity based Ring
Signature (ID-RS) is one of the promising technique between
the groups. Ring signature scheme permits the manager or data
owner to authenticate into the system in anonymous manner.
In conventional Public Key Infrastructure (PKI) data sharing
scheme contains certificate authentication process, which is a
bottleneck because of its high cost. To avoid this problem, we
proposed Cost Optimized Identity based Ring Signature with
forward secrecy (COIRS) scheme. This scheme helps to remove
the traditional certificate verification process. Only once the user
needs to be verified by the manager giving his public details. The
cost and time required for this process is comparatively less than
traditional public key infrastructure. If the secret key holder has
been compromised, all early generated signatures remains valid
(Forward Secrecy). This paper discuss about how to optimize the
time and cost when sharing the files to the cloud. We provide a
protection from collision attack, which means revoked users will
not get the original documents. In general better efficiency and
secrecy can be provided for group sharing by applying above
approaches.
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationDenodo
Watch full webinar here: https://bit.ly/3ohtRqm
Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.
Watch on-demand this webinar to learn:
- How to create a logical data fabric with Denodo
- How to leverage the a data lake for MPP Acceleration and Summary Views
- How to leverage Presto with Denodo for file based data lakes (ie. S3, ADLS, HDFS, etc.)
IRJET- A Survey on File Storage and Retrieval using Blockchain TechnologyIRJET Journal
This document discusses using blockchain technology for secure file storage and retrieval. It first describes existing technologies like distributed file systems, InterPlanetary File System (IPFS), storing file hashes on blockchain, Filecoin, and Storj. It then proposes a system using Ethereum, Swarm, and Whisper that encrypts files before storing encrypted blocks on Swarm and recording hashes on blockchain. File access permissions are shared via Whisper messages. This decentralized system improves security, accessibility, and avoids data redundancy compared to traditional methods.
SplunkLive! New York April 2013 - Enrich Machine Data with Structured DataSplunk
This document discusses Splunk DB Connect, which allows users to enrich machine data stored in Splunk with additional context from structured data in relational databases. It provides an overview of DB Connect's features, including database connection management, SQL lookups to enrich search results, and extensions to the Splunk search language to execute database queries. The document also shares examples of how customers use DB Connect to power search analytics and enable exceptional customer service. It concludes that combining machine data with structured context from databases provides better insights for IT, security, and business users.
Database Management in Different Applications of IOTijceronline
In the recent years, the Internet of Things (IoT) is considered as a part of the Internet of future and makes it possible for connecting various smart objects together through the Internet. The use of IoT technology in applications has spurred the increase of real-time data, which makes the information storage and accessing more difficult and challenging. This paper discusses the different Databases used for different applications in IOT.
What Is Solution Architecture? The Black Art Of I/T Solution ArchitectureNick Noecker
A point of view of "smart meter." From the front lines of the fire fight...through the lens of actual global engagements reconfigured into a composite. You can never predict the outcome of a Big Burn.
OpenText PowerDOCS: A Cloud Solution for Document GenerationMarc St-Pierre
OpenText offers a comprehensive cloud solution that functions as a single source for document generation across all use cases, channels, technology platforms, and business systems.
In-Network Distributed Analytics on Data-Centric IoT Network for BI-Service A...IRJET Journal
The document discusses in-network distributed analytics on data-centric IoT networks for business intelligence (BI) service applications. It proposes a knowledge analytic framework at the IoT network structure level and an IoT operational platform to enable in-network analytics for BI services. The framework is intended to extract knowledge from IoT data sources in real-time to support applications that require low-cost, high-quality insights on a timely basis.
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Denodo
Watch full webinar here: https://bit.ly/2O9gcBT
Denodo 8 expands data integration and management to data fabric with advanced data virtualization capabilities. What are they? Denodo CTO Alberto Pan will touch upon the key Denodo 8 capabilities.
Denodo’s Data Catalog: Bridging the Gap between Data and Business (APAC)Denodo
Watch full webinar here: https://bit.ly/3nxGFam
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.
In this session you will learn about:
- The role of a virtual semantic layer in self service initiatives
- What are the key capabilities of Denodo’s new Data Catalog
- Best practices and advanced tips for a successful deployment
- How customers are using the Denodo’s Data Catalog to enable self-service initiatives
Business intelligence (BI) is the analysis of raw data to provide useful information for business decision-making. BI tools transform large amounts of data from various sources into insights through data management, discovery, and reporting. Data management tools prepare data for analysis. Data discovery applications like data mining, OLAP, and predictive analytics help users find patterns. Reporting tools such as visualizations, dashboards, and scorecards present analyzed data to convey insights easily. There are many categories of BI tools from various vendors that organizations can use to transform data into strategic information.
Buisness Intelligence and Web AnalyticsVincent Maher
The document discusses using business intelligence (BI) and web analytics tools for media companies using open source software. Specifically:
1. It provides background on the Mail & Guardian Online and Amatomu.com websites and challenges around centralized data, vendor lock-in, and lacking BI capabilities for new areas.
2. It considers developing custom open source solutions versus packaged software for BI, noting benefits and risks of each approach.
3. The document outlines their plan to develop a custom open source BI system using frameworks like CodeIgniter and tools like FusionCharts to provide real-time analytics and visualization dashboards tailored to their needs.
versaSRS HelpDesk is a flexible Help Desk and Customer Support solution that will enable your business to quickly and effectively support, manage and improve the quality of your interactions with your employees, end users and customers.
Improve Service Levels & Customer Satisfaction by utilizing a system which enables organisations to fully manage customers - to increase productivity, reduce service desk workload and subsequently reduce operational costs.
- Business intelligence (BI) is the set of techniques and tools for transforming raw data into meaningful and useful information for business analysis, and involves a combination of data warehousing and decision support systems.
- The key components of a BI system include user query and reporting, OLAP, data mining, analytics, business performance management, and enterprise management.
- BI solutions help organizations store and analyze data, understand strengths and weaknesses, reduce decision-making time, measure key performance indicators, and avoid guesswork to improve performance.
- Common BI tools include Oracle BI, SAP BusinessObjects, Microsoft BI, Oracle Hyperion, IBM Cognos, and SAS Enterprise BI server. However, Oracle BI Foundation Suite is
- Corporate data is growing rapidly at 100% every year and data generated in the past 3 years is equivalent to the previous 30 years.
- With increasing data, organizations need tools to manage data and turn it into useful information for strategic decision making.
- Business intelligence provides interactive tools for analyzing large amounts of data from different sources and transforming it into insightful reports and dashboards to help organizations make better business decisions.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
IBM Cognos BI is a web-based reporting and analytics tool that allows users to perform data aggregation and create detailed, user-friendly reports. It provides flexible reporting and can be used by large and medium enterprises. Cognos benefits companies by leveraging data insights, offering scenario planning tools, transforming businesses to be more proactive, enabling easy dashboard creation, and allowing dynamic report design.
IBM Cognos BI is a web-based reporting and analytics tool that allows users to perform data aggregation and create detailed, user-friendly reports. It provides flexible reporting and can be used by large and medium enterprises. Benefits of Cognos include leveraging hidden data insights, scenario planning tools, transforming to a proactive organization, easy dashboard creation, and dynamic report design.
IBM Cognos BI is a web-based reporting and analytics tool that allows users to perform data aggregation and create detailed, user-friendly reports. It provides flexible reporting and can be used by large and medium enterprises. Some key benefits of IBM Cognos include leveraging data insights, powerful scenario planning tools, enabling proactive decision making, easy dashboard creation, and dynamic report generation with a drag-and-drop interface.
The document discusses Business Intelligence (BI) and the Cognos BI software. It defines BI and explains its purpose is to support better decision making using historical, current and predictive data views. The document then outlines why organizations use BI for questions about past, present and future business performance. It also lists features of Cognos including querying, reporting, analysis, dashboards and mobile BI. Cognos advantages include increasing BI adoption, distributing it to everyday users, and allowing users to modify and share BI content.
Power BI Overview, Deployment and GovernanceJames Serra
This document provides an overview of external sharing in Power BI using Azure Active Directory Business-to-Business (Azure B2B) collaboration. Azure B2B allows Power BI content to be securely distributed to guest users outside the organization while maintaining control over internal data. There are three main approaches for sharing - assigning Pro licenses manually, using guest's own licenses, or sharing to guests via Power BI Premium capacity. Azure B2B handles invitations, authentication, and governance policies to control external sharing. All guest actions are audited. Conditional access policies can also be enforced for guests.
Power BI: Introduction with a use case and solutionAlvina Verghis
This PPT gives a brief introduction to the Power BI software. It gives the brief intro of the software with a use case of how Power BI is used in Heathrow Airport for ease of functions
This document discusses various business analysis and decision support tools. It begins by describing five main categories of decision support tools: reporting tools, managed query tools, executive information system tools, online analytical processing (OLAP) tools, and data mining tools. It provides details on the different types of tools within each category. It also discusses the Cognos Impromptu reporting and query tool, including its features and capabilities. Finally, it briefly describes common OLAP operations on multidimensional data like roll-up, drill-down, slice and dice, and pivot.
The document discusses the capabilities of business intelligence (BI) platforms. It describes three main categories of capabilities: integration, information delivery, and analysis. Each category contains several specific capabilities like reports, dashboards, query tools, predictive modeling, etc. The document provides details on each capability and evaluates how well various BI platforms measure up based on these capabilities. It aims to help organizations understand what a comprehensive BI platform should provide.
This presentation discusses how IBM Cognos business intelligence tools can help IT professionals empower business users to make better decisions while also meeting IT requirements for performance, compliance, and scalability. It provides an overview of IBM Cognos 8 BI and its reporting, analysis, dashboard, and planning capabilities. It also summarizes new features in version 8.4 like annotations, improved charts, greater mobile interactivity, and expanded Excel analysis. Finally, it describes IBM Cognos TM1 as an in-memory OLAP engine for planning and analysis with familiar Excel and web interfaces.
This document discusses various tools used for business analysis including reporting tools, managed query tools, executive information system tools, OLAP tools, data mining tools, and application development tools. It provides details on specific tools like Cognos Impromptu, Cactus, and FOCUS Fusion.
Business Objects is a leader in the business intelligence market. It was founded in the 1990s in Paris and saw early success globally. Business intelligence involves analyzing business data to make informed decisions, while business objects provides tools like CrystalReports and Data Services to extract, transform, and load data for reporting and analysis. Combining business intelligence and business objects platforms provides advantages like improved business focus, faster project delivery, and access to customized solutions and skilled resources.
Top 20 Best Business Intelligence Tools | CIO Women MagazineCIOWomenMagazine
Here are the top 20 Business Intelligence Tools: 1. Micro Strategic Planning, 2. IBM Cognos Analytics (in a nutshell), 3. Tableau, 4. Oracle Business Intelligence Tools, 5. Board, etc.
- Brijesh Soni is seeking a challenging career opportunity where he can apply his 10+ years of experience in system analysis, software development, and ERP applications.
- He has extensive experience with technologies like PowerBuilder, Oracle, SQL Server, Java, Android and frameworks like Eclipse, JBoss, and .NET.
- Brijesh aims to contribute effectively to organizational progress while further developing his career through a professionally driven and respected organization.
This document discusses the features and capabilities of InsFocus BI, an insurance business analytics system. It provides over 170 ready-made reports across various business areas out of the box. Users can customize existing reports or create new ones to fit their needs. The system allows for time-dependent reporting and sophisticated insurance calculations and KPIs. It also supports actuaries with tools like triangulation and extrapolation templates. Drill-down functionality provides detailed policy data access. System administration controls the server, databases, users and item definitions. For more information, contact the sales manager listed.
Going Jesse provides open source solutions including data migration and integration, business intelligence, balanced scorecards, ERP, enterprise portals, and mobile application development. The company was founded in 2010 to offer lower cost open source alternatives to proprietary software. Key solutions include Pentaho for BI, Adempiere for ERP, and Liferay for enterprise portals. These solutions integrate business processes, provide reporting and analysis, and enable collaboration and information sharing across organizations.
Cognos Analytics/Business Intelligence Training Catalog - Self Paced, Instruc...QueBIT Consulting
QueBIT aims to make it easy to help you find the right information. Our mission is to empower you with the training you need, so that you can apply analytic techniques with confidence. We want you to succeed and see the power in the data that is at your fingertips, so that you can make better informed decisions. QueBIT is a full-service operation, offering flexible training sessions to meet your busy schedules.
Vivantek is a consulting company that has been helping customers with data analytics since 2009. They have over 50 customers and have developed over 10,000 reports. Their team of certified consultants have over 15 years of experience working with technologies like IBM Cognos Analytics, IBM Planning Analytics, Microsoft Power BI, SSIS, SSRS, and SSAS to help customers with tasks such as reporting, visualization, data integration, loading and extracting data. They provide services like software implementation, training, consulting, and support.
BDI Systems & Technologies is a two-year-old organization that provides Business Intelligence (BI) consulting and software development services. It has expertise in SAP BusinessObjects and has completed over 20 BI projects. BDI Systems develops custom tools and components to enhance BusinessObjects functionality and reduce the time and cost of BI implementations. It aims to provide clients with realistic commitments, dedicated resources, and cost-effective BI solutions.
Business intelligence tools to handle big dataIshucs
Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.
SAP BusinessObjects Web Intelligence Rich Client is a full-client reporting tool offered with Business Objects XI R3. This reporting tool is very similar to the Webi Java version that most end users are used to seeing in XI R2; however it offers a very important functionality of being able to work on reports offline without being connected to a CMS. It also provides equivalent report creation, editing, formatting, printing, and saving functionality that is found in Business Object’s original full-client reporting tool, Desktop Intelligence.
Secure Mining of Association Rules in Horizontally Distributed DatabasesMigrant Systems
This document proposes a new protocol for securely mining association rules from horizontally partitioned databases. It improves upon the previous leading protocol from Kantarcioglu and Clifton (2018) in three main ways:
1. It introduces two novel secure multi-party algorithms - one for computing the union of private subsets and one for testing set inclusion.
2. It offers enhanced privacy protections compared to the previous protocol. Specifically, it only leaks excess information to small coalitions of players rather than individual players.
3. It is simpler and more efficient, requiring fewer communication rounds and less communication and computation overall.
The key contribution is a new protocol for securely computing the union of private subsets held by
This document discusses privacy concerns when collaboratively publishing horizontally partitioned data from multiple data providers. It introduces the concept of an "m-adversary", which is a group of up to m colluding data providers. It also introduces the notion of "m-privacy", which guarantees anonymity against such m-adversaries. The paper then presents algorithms for efficiently checking m-privacy while maximizing data utility and handling different m-adversary attack scenarios. Experiments on real datasets show the approach achieves better utility and efficiency than existing methods while providing m-privacy guarantees.
NICE: Network Intrusion Detection and Countermeasure Selection in Virtual Net...Migrant Systems
The document proposes NICE, a network intrusion detection and countermeasure selection framework for virtual network systems. NICE uses attack graph models to detect multi-step attacks. It deploys lightweight agents on cloud servers to capture traffic and analyze vulnerabilities. Suspicious VMs are put in inspection state, where deep packet inspection and virtual network changes are applied to detect attacks without interrupting services. NICE uses software switching and programmable networking to dynamically configure intrusion detection and isolate compromised VMs. Evaluations show NICE efficiently detects attacks while minimizing overhead on cloud resources.
Supporting Privacy Protection in Personalized Web SearchMigrant Systems
This document proposes a framework called UPS that aims to protect user privacy in personalized web search systems while maintaining personalization utility. The framework consists of an online profiler on the client side that generalizes user profiles for queries in real-time according to user-specified privacy requirements. Two metrics are defined to evaluate personalization utility and privacy risk for generalized profiles. Algorithms are developed to generalize profiles by optimizing these conflicting metrics. Experiments demonstrate the effectiveness and efficiency of the framework in balancing privacy protection and personalization.
Shared Authority Based Privacy-preserving Authentication Protocol in Cloud Co...Migrant Systems
The document proposes a shared authority based privacy-preserving authentication protocol (SAPA) for cloud computing. SAPA addresses the privacy issue that arises when a user challenges a cloud server to request access to another user's data, as the request itself could reveal private information. SAPA uses anonymous access request matching and attribute-based access control to determine if two users' access requests are mutually compatible without revealing either user's private access desires. It also employs proxy re-encryption so the cloud server can provide temporary shared access between authorized users. The protocol aims to simultaneously achieve data access control, authority sharing between compatible users, and protection of users' privacy during the access request process.
Exploiting Service Similarity for Privacy in Location Based Search QueriesMigrant Systems
This document proposes a privacy-supportive architecture for location-based services that allows users to make informed decisions about location privacy without significantly affecting service quality. The key aspects are:
1) Users first submit queries with generalized locations and receive a "service similarity profile" showing how results may vary across locations.
2) Users can then select a noisy location based on their privacy preferences while observing how it impacts results.
3) An example local search application is described to demonstrate how result set boundaries with no change can be identified, allowing large default privacy regions. Testing found users can add significant location noise while still getting accurate results.
DECENTRALIZED ACCESS CONTROL OF DATA STORED IN CLOUD USING KEY POLICY ATTRIBU...Migrant Systems
This document proposes a decentralized access control method for data stored in the cloud using key policy attribute-based encryption (KP-ABE). It aims to allow fine-grained access control while maintaining data confidentiality and scaling efficiently. The method defines and implements access policies based on data attributes. It also allows the data owner to delegate access control tasks to cloud servers without revealing data contents. This is achieved using a combination of decentralized KP-ABE and a time-based file deletion scheme. The proposed approach is analyzed and shown to be highly secure and efficient.
Oruta: Privacy-Preserving Public Auditing for Shared Data in the CloudMigrant Systems
This document proposes a new mechanism called Oruta that allows privacy-preserving public auditing of shared data stored in the cloud. It utilizes ring signatures to construct homomorphic authenticators, allowing a third party auditor to verify the integrity of shared data for a group of users without revealing the identity of the signer on each data block. Oruta also supports batch auditing of multiple datasets and fully dynamic operations on shared data through the use of index hash tables. The mechanism aims to achieve public auditing, correctness, unforgeability, and identity privacy during the auditing process.
This document provides a course syllabus for a Java training course. The syllabus outlines topics that will be covered including an overview of object-oriented programming in Java, important Java concepts like static, final, interface and abstract classes, exception handling, collections, generics, threads, JDBC, and J2EE technologies like JSP, Servlets, Struts and XML. It also discusses fees structure for the course and notes it will take place on Saturdays, Sundays and weekdays, with registration fees of Rs. 1000 and remaining Rs. 4000 to be paid during classes.
The document describes a proposed patent search system that aims to improve the usability of patent searches. It discusses modules for login, query processing, error correction, query suggestion, ranking results, and partitioning patents. The goal is to make the search process easier for users by correcting errors, expanding queries, and efficiently retrieving the most relevant results. Key techniques include topic modeling for suggestions, error correction using tries, and partitioning patents into groups for faster searching.
Cloud Computing
Cloud Computing is the emerging concept and technology which extensively changed the structure of IT industry by decreasing the requirements of Software's, Licenses, Storage Space, Hardware etc.
Enhancing Access Privacy of Range Retrievals over B+TreesMigrant Systems
PB+tree is a privacy-enhancing index that conceals the order of leaf nodes in an encrypted B+ tree. It groups the tree nodes into buckets and uses homomorphic encryption to prevent adversaries from determining the exact nodes retrieved by range queries over the encrypted database, while balancing privacy with computational overhead. Experiments show PB+tree effectively impairs an adversary's ability to recover the B+ tree structure or deduce query ranges in different attack scenarios.
The document summarizes a study on protecting user privacy when querying encrypted databases. It first describes how an adversary can infer information about user queries by monitoring I/O activity, even with an encrypted database and B+ tree. It then proposes a PB+ tree index that conceals the order of leaf nodes to prevent the adversary from determining the exact nodes or query ranges accessed. Finally, it notes that PB+ tree balances privacy and computational overhead, and experiments show it effectively impairs the adversary's ability to learn the B+ tree structure or query ranges in different scenarios.
Enhancing access privacy of range retrievals over b+treesMigrant Systems
The document proposes a new index structure called PB+tree to enhance privacy for range queries over encrypted B+trees. It first shows that an adversary can infer the structure of an encrypted B+tree and query ranges by observing I/O patterns of range queries. PB+tree aims to conceal the ordering of leaf nodes by grouping nodes into buckets and using homomorphic encryption to obscure which exact nodes are retrieved. It balances privacy with computational overhead. Experiments show PB+tree effectively impairs the adversary's ability to deduce the B+tree structure and query ranges.
. In this paper, a user authentication protocol named Password is designed, that makes use of the customer’s cellular phone and short message service to ensure protection against password stealing attacks. Password requires a unique phone number that will be possessed by each participating website.
we propose here a novel system for protecting finger print privacy by combining two different fingerprints into a new identity. In the enrollment, two fingerprints are captured from two different fingers
Thus, a new virtual identity is created for the two different fingerprints, which can be matched using minutiae-based fingerprint matching technique.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
2. BI defined as Business Intelligence
BI refers to technologies application and practices for
the collection integration, analysis and presentation
of business information
Business intelligence tools are a type of application
software designed to retrieve, analyze and report data
for business intelligence. The tools generally read data
that have been previously stored, often, though not
necessarily, in a data warehouse or data mart.
3. To support better, improved and more efficient Decision
Making
BI systems provide historical, current, and predictive
views of business operations.,
BI system information from Uses data that has been
gathered into a data warehouse or data mart.
4. Spreadsheets
Reporting and querying software: tools that extract,
sort, summarize, and present selected data
OLAP: Online analytical processing
Digital dashboards
Data mining
Data warehousing
Decision engineering
Process mining
Business performance management
Local information systems
5. IBM's purchase of Cognos and other business
intelligence software vendors was a step in
establishing IBM as a BI "megavendor" (along with
Oracle, Microsoft, and SAP).
Due to many consolidations in the BI industry, there
are only a few independent "pure-play" vendors
remaining (SAS and Micro Strategy being the largest).
Hyperion from Oracle Corporation & Business Object
from SAP
6. Cognos is Business Intelligence software that
enables users to extract data, analyze it, and then
assemble reports
Cognos is a web-based enterprise reporting solution.
Cognos allows you to gather data from various storage
locations and assemble the data into a personalized
package
IBM acquired Cognos (Jan 2008) ,Cognos name
continues to be applied to IBM's line of business
intelligence and performance management products
7. The software is designed to enable business users
without technical knowledge to extract corporate
data, analyze it and assemble reports.
Cognos product for the individuals, workgroups
department, midsize & large enterprise.
Cognos software is designed to help everyone in your
organization make the decisions that achieve better
business outcomes—for now and in the future
More than 23,000 customers in over 135 countries so
they in market
8. Cognos Connection (the web portal for IBM Cognos
BI. It is the starting point for the browser-based access
to all functions provided with the suite. With the help
of this, content can be searched in the form of reports,
scorecards and agents.
Report Studio (Professional report authoring tool
formatted for the web)
Query Studio (Ad hoc report authoring tool with
instant data preview)
Analysis Studio (Explore multi-dimensional cube data
to answer business questions)
9. Limited Resources
Time-consuming and cumbersome presentation of
information
IBM Cognos 8 BI provides a more time efficient, concise
and clear method of reporting financial data to support
better, improved, more efficient Decision Making.
10. IBM Cognos 8 BI, initially launched in September 2005,
combined the features of several previous products,
including ReportNet, PowerPlay, Metrics Manager,
NoticeCast, and DecisionStream.
IBM Cognos Express BI, launched in 2008 for mid
range companies.
IBM Cognos 10 BI , launched in October 2010, it bring
together social collaboration &analytics for business
users for single user ,user-friendly ,online through
mobile, such as ipad,iphone,etc..
11. When a report has multiple formats or languages,
when a report has a delivery method of save, print, or
email, and when a report is burst.
Hypertext markup language (.html)
Adobe portable document format (.pdf)
Microsoft Excel spreadsheet (.xls or .xlsx)
Delimited text (.csv)
Extensible markup language (.xml)
If you are the owner of a report or have the necessary
permissions, you can specify the default format for
each report.
12. Web Application
No software loaded onto user machines
Web address provided via Management Reporting
website or email
User Login setup
Request for Cognos access available via MR website or
email
Users will be setup within Cognos with using existing
UTSA Login ID & Password
13. Framework Manager
Infrastructure organizer for Cognos: security,
administration, metadata and portal.
Data View
A single store of related information containing a
number of Data Elements. Also referred to simply as a
View.
Role
Your security is based on permission to view selected
data within your individual account, and roles to
which you belong. Cognos supports the union of
access permissions.
14. Term Description
Consumer Consumers can read and execute reports in Cognos
based on security. Consumers can also interact with
prompts, and define output reports to other formats
such as PDF and CSV. This is the most widely spread
role/user in Cognos.
Query User Query Users have the same access permissions as
Consumers. They can also use Cognos Query Studio to
create ad hoc queries, simple reports, and charts.
Report Author Authors have the same access permissions as Query
Users. They can also use Cognos Report Studio which
provides the ability to create sophisticated, richly
formatted reports and charts with complex prompts
and filters.
Data Modeler Data Modelers create packages that define a subset of
data that is relevant to an intended group of users.
15. Followings are they advantage of Cognos:
Planning
Analysis
Forecasting
Scorecard
16. IBM Cognos BI is secured by setting permissions and
enabling user authentication.
When anonymous access is enabled, you can use IBM
Cognos BI without authenticating as a specific user.
In IBM Cognos BI, administrators define permissions
so that users can access functionality. For example, to
edit a report using IBM Cognos Report Studio, you
must have the appropriate security and licensing
permissions.
In addition, each entry in IBM Cognos Connection is
secured to define who can read, edit, and run the entry
17. Firefox 3.6 Windows / OS X/UNIX/Linux Compatible
Firefox 3.5 Windows / OS X/UNIX/Linux Active
Microsoft Internet Explorer 8.0 Windows Active
Microsoft Internet Explorer 7.0 Windows Active
Microsoft Internet Explorer 6 SP2 Windows XP
Compatible
18. It Support all Operation system (platform
independent) such as Linux,Unix,Solarix,Windows
Mac Os.
H/w Process Pentium and above and more than 1GB
RAM.
19. Cognos training provide across India Most of they
center in Bangalore city.
In Chennai Course fee around 10,000 and above and
duration as 40 hours. Such center as Green Tech
Besent technologies..etc