Houston Technology Center presentation by SHMsoft. eDiscovery, data governance, and compliance vision that can be build on Hadoop clusters and public or private clouds.
Eduserv Symposium 2013 - Threat or opportunity?Eduserv
Adam Fisher, The CIO Partnership presents 'Threat or opportunity? Charities & IT both face tremendous change', at the Eduserv Symposium 2013: In with the new.
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
This document summarizes a presentation given by Brian Hamilton on privacy, security, and access to data. It discusses the role of the Office of the Information and Privacy Commissioner of Alberta in overseeing privacy laws and reviewing research proposals. It outlines how the office analyzes information sharing and big data initiatives to ensure privacy is protected. Tips are provided for developing privacy controls and gaining approval, including conducting a privacy impact assessment and developing expertise in privacy principles.
The Power Of People In Information GovernanceColin Tong
Presentation given to legal professionals re internal information governance/mgt. milestones, collaboration and value add to outside legal counsel and their clients. Talk focused on empowering elements within law firms that enable professionals to raise bar of performance and efficiency while reducing risk and maximizing revenue generating activities through optimal document management programs and electronic information strategies.
Data and Strategy: Cultivating Their Relationshipkirkschmidt
This document discusses strategies for cultivating the relationship between data and strategy in fundraising. It covers data acquisition strategy, including determining the minimum necessary data and costs of acquisition, maintenance, and errors. It then discusses using a scientific method and analytics to develop data-based fundraising strategies through observation, hypothesis, and testing. Finally, it addresses data safety strategy and risks to charities from data breaches, given the amount of sensitive donor information typically collected and relatively small IT budgets. The overall message is that properly acquiring, analyzing, and protecting data is crucial for effective fundraising strategies.
Is it more money which gives you happiness? Is it power which gives you ultimate happiness? Is it the gadgets which brings-in happiness ? If any of these brings ultimate happiness, this is our generation which should have been the happiest ever. Unfortunately that is not the reality.
http://girishg.net/
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Moving Data Science from an Event to A Program: Considerations in Creating Su...Domino Data Lab
This document discusses how organizations are increasingly experiencing information crises due to their inability to effectively govern and trust enterprise data across silos. It argues that data governance needs to expand its scope to support both transactional data and business decisions by integrating data sources into a robust infrastructure and data hub. Implementing effective data governance early is important to allow data reuse, maximize value, and help organizations avoid repeating past mistakes of working in silos.
Eduserv Symposium 2013 - Threat or opportunity?Eduserv
Adam Fisher, The CIO Partnership presents 'Threat or opportunity? Charities & IT both face tremendous change', at the Eduserv Symposium 2013: In with the new.
IOT Collaborative - Digital Innovation – Strategy, Process and Governance
November 1, 2018
Ray Henry
Ahuja College of Business
Cleveland State University
This document summarizes a presentation given by Brian Hamilton on privacy, security, and access to data. It discusses the role of the Office of the Information and Privacy Commissioner of Alberta in overseeing privacy laws and reviewing research proposals. It outlines how the office analyzes information sharing and big data initiatives to ensure privacy is protected. Tips are provided for developing privacy controls and gaining approval, including conducting a privacy impact assessment and developing expertise in privacy principles.
The Power Of People In Information GovernanceColin Tong
Presentation given to legal professionals re internal information governance/mgt. milestones, collaboration and value add to outside legal counsel and their clients. Talk focused on empowering elements within law firms that enable professionals to raise bar of performance and efficiency while reducing risk and maximizing revenue generating activities through optimal document management programs and electronic information strategies.
Data and Strategy: Cultivating Their Relationshipkirkschmidt
This document discusses strategies for cultivating the relationship between data and strategy in fundraising. It covers data acquisition strategy, including determining the minimum necessary data and costs of acquisition, maintenance, and errors. It then discusses using a scientific method and analytics to develop data-based fundraising strategies through observation, hypothesis, and testing. Finally, it addresses data safety strategy and risks to charities from data breaches, given the amount of sensitive donor information typically collected and relatively small IT budgets. The overall message is that properly acquiring, analyzing, and protecting data is crucial for effective fundraising strategies.
Is it more money which gives you happiness? Is it power which gives you ultimate happiness? Is it the gadgets which brings-in happiness ? If any of these brings ultimate happiness, this is our generation which should have been the happiest ever. Unfortunately that is not the reality.
http://girishg.net/
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Moving Data Science from an Event to A Program: Considerations in Creating Su...Domino Data Lab
This document discusses how organizations are increasingly experiencing information crises due to their inability to effectively govern and trust enterprise data across silos. It argues that data governance needs to expand its scope to support both transactional data and business decisions by integrating data sources into a robust infrastructure and data hub. Implementing effective data governance early is important to allow data reuse, maximize value, and help organizations avoid repeating past mistakes of working in silos.
Bigdata for sme-industrial intelligence information-24july2017-finalstelligence
This document discusses how small and medium enterprises (SMEs) can benefit from big data analytics. It defines key concepts like the 5 V's of big data and explains challenges SMEs face in adopting analytics. Common types of analytics like reporting, trend analysis, and predictive modeling are described. The document provides recommendations for simple analytic tools and techniques SMEs can use, such as data exploration, time-series analysis, and regression in Excel. Finally, it discusses how cloud-based solutions can help SMEs overcome barriers to adopting traditional IT solutions and analyzes the big data business landscape in Thailand.
This document summarizes a presentation on bridging the gap between legal and IT through information governance. The presentation discusses how data conceals both risk and value for organizations, noting regulatory, compliance, security, and disclosure risks as well as faster decision making, improved profitability, and other benefits. It outlines common problems general counsels face around demonstrating value, limited budgets, and being too busy firefighting daily tasks. The presentation then discusses how poor information governance can lead to litigation risks, problems with regulatory requests and investigations, and issues with internal policies. It stresses that information governance is a cross-disciplinary issue involving multiple departments. The presentation provides requirements for successful information governance programs and stresses focusing on specific quantifiable benefits to obtain support and resources
An integrated approach to data analytics can help organizations overcome silos and data hoarding by sharing processed information across decision-making processes. To become truly data-driven, organizations need a clear vision of integrating analytics throughout and a cultural shift away from just being data-informed. This requires data governance, a central analytics team, meaningful and actionable analytics products delivered at the right time, and viewing analytics as a business to build relationships and tell stories that generate insights.
This document summarizes key points from several presentations on information management and governance. It discusses the importance of partnerships in sharing information and lessons learned. It also highlights the need to support records management and information governance through knowledge exchange. Specific challenges mentioned include the large percentage of stored data with little value, and ensuring employees have proper training for their records management responsibilities. The final slides discuss Veritas becoming an independent company and establishing strategic direction.
This document discusses the importance for data scientists to ask "Why?" when taking on new projects in order to ensure they are solving important business problems rather than just problems that are interesting from a data perspective. It provides an example of working with an e-discovery company where initially focusing on social network analysis of email data but ultimately developing a solution to help attorneys understand information retrieval better addressed the real needs of the business. The key lessons are for data scientists to learn about real business problems, think creatively about how data can provide solutions, and ensure the work will actually improve the business.
Data Loss Prevention (DLP) is often the number one concern for most organizations. With the growth of mobile devices and cloud storage, most network perimeters look more like swiss cheese than brick walls.
See Full Webinar: http://www.gti1.com/webinars/?commid=64955
The Chief Data Officer: Tomorrow's Corporate RockstarKatrina Read
The transformative power of data and analytics is being harnessed by organisations around the world to make smarter, quicker and more analytical-driven decisions. At the helm of this transformation is the Chief Data Officer – a strategic leader who employs data and analytics to create tangible business value, and who is rapidly attracting rock star status.
On this slides, we tried to give an overview of advanced Data quality management (ADQM). To understand about DQ why important, and all those steps of DQ management.
Foundational Strategies for Trust in Big Data Part 2: Understanding Your DataPrecisely
This document provides an overview of understanding data through data profiling. It discusses:
1. The five key steps to effective data profiling: defining how to analyze the data, what to review, what to look for, when to build rules, and what to communicate.
2. Common challenges with big data and new data types, and measurements for assessing data quality.
3. A case study of how British Airways leveraged data profiling and governance to ensure accurate customer data across multiple systems and improve analysis, marketing and service.
Chalitha Perera | Cross Media Concept and Entity Driven Search for Enterprisesemanticsconference
This document discusses an enterprise content management solution called Sensefy that provides semantic search capabilities across heterogeneous data sources. It semantically enhances unstructured content using named entity recognition and linking to external knowledge bases. Sensefy uses the Media In Context (MICO) platform for cross-media analysis and metadata extraction. The system allows for federated search across different repositories as well as entity-driven search with disambiguation and suggestion capabilities. A demo is provided to showcase these semantic search features.
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
This document discusses big data and the importance of data quality for big data initiatives. It defines big data as large, diverse digital data sets that require new techniques to enable capture, storage, analysis and visualization. The key challenges of big data include integrating diverse structured and unstructured data sources and ensuring high quality data. The document emphasizes that poor data quality can undermine big data analytics efforts and lead to wrong insights. It promotes establishing a data quality framework including profiling, standardization, matching and enrichment to enable valid big data analytics.
Principles of Holistic Information Governance (PHIGs) presentation for the January 15, 2014 ARMA Edmonton Chapter lunch event.
PHIGs are a business centric way of looking at managing corporate information.
Stephen Cohen - The Impact of Ethics on the Architectiasaglobal
This session will place the Architect as leader, decision maker, risk manager, and agent of change in a context of professionalism and responsibility. We will explore many of the choices and actions Architects take on that are, or should be, guided by more than simple fiscal value creation but clarity of purpose in support of multiple cultures and needs.
Porting your hadoop app to horton works hdpMark Kerzner
The document discusses porting a Java-based eDiscovery application from Cloudera on Amazon EC2 to Hortonworks Hadoop Distribution Public Cloud (HDP). It provides details on setting up an HDP cluster on EC2, including choosing services to install, customizing Nagios for monitoring, and troubleshooting an initial HBase installation failure. The author seeks instructions for integrating custom control scripts during cluster startup and management.
This document provides an introduction to Apache Pig, including:
- Pig is a system for processing large unstructured data using HDFS and MapReduce. It uses a high-level data flow language called Pig Latin.
- Pig aims to increase programmer productivity by abstracting low-level MapReduce jobs and providing a procedural language for parallel data flows.
- Pig components include the Pig engine for parsing, optimizing, and executing queries, and the Grunt shell for running interactive commands.
- The document then covers Pig data types, input/output, relational operations, user-defined functions, and new features in Pig version 0.10.0.
The document discusses using Elasticsearch and Hadoop to analyze large amounts of log data from multiple servers and applications in a centralized way. It describes setting up Elasticsearch to enable fast querying of the log data, Logstash to ingest logs from various sources into Elasticsearch, and Kibana for visualization. Hadoop is used to handle the large volumes of log data, and Pig scripts are used to do analysis on the data stored in Elasticsearch.
The presentation introduces the Zeta architecture, which is described as a next generation enterprise architecture. It consists of 7 main components that work together including global resource management, distributed file system, and enterprise applications. The architecture allows for dynamic allocation of resources, data locality, and improved business continuity. Examples are given around implementing the Zeta architecture for web server logs and an advertising platform. Benefits highlighted include reduced costs, improved scalability, and enabling real-time capabilities.
Nutch + Hadoop scaled, for crawling protected web sites (hint: Selenium)Mark Kerzner
The document summarizes a presentation on using Nutch with Hadoop for web crawling. It discusses Nutch's architecture and how it can be configured to crawl specific domains. It also describes how Nutch can be scaled using HDFS for storage and MapReduce for crawling. The presentation demonstrates using Burp and Selenium tools with Nutch to perform tasks like password testing and browser interaction during the crawling process.
- Cloudera Search provides an overview of using Solr on Hadoop for search capabilities.
- Key projects involved include Lucene, Solr, and Hadoop which can be integrated to allow indexing of data on HDFS and querying via search.
- The presentation discusses architectural details of running Solr on HDFS and integrating other Hadoop projects like HBase, MapReduce, and Hue.
The document discusses Informatica's data integration platform and its capabilities for big data and analytics projects. Some key points:
- Informatica is a leading data integration vendor with over 5,000 customers including over 70% of the Global 500.
- The Informatica platform provides capabilities across the entire data lifecycle from ingestion to delivery including data quality, master data management, integration, and analytics.
- It supports a variety of data sources including structured, unstructured, cloud, and big data and can run on-premises or in the cloud.
- Customers report the Informatica platform improves agility, scalability, and operational confidence for data integration projects compared to
Bigdata for sme-industrial intelligence information-24july2017-finalstelligence
This document discusses how small and medium enterprises (SMEs) can benefit from big data analytics. It defines key concepts like the 5 V's of big data and explains challenges SMEs face in adopting analytics. Common types of analytics like reporting, trend analysis, and predictive modeling are described. The document provides recommendations for simple analytic tools and techniques SMEs can use, such as data exploration, time-series analysis, and regression in Excel. Finally, it discusses how cloud-based solutions can help SMEs overcome barriers to adopting traditional IT solutions and analyzes the big data business landscape in Thailand.
This document summarizes a presentation on bridging the gap between legal and IT through information governance. The presentation discusses how data conceals both risk and value for organizations, noting regulatory, compliance, security, and disclosure risks as well as faster decision making, improved profitability, and other benefits. It outlines common problems general counsels face around demonstrating value, limited budgets, and being too busy firefighting daily tasks. The presentation then discusses how poor information governance can lead to litigation risks, problems with regulatory requests and investigations, and issues with internal policies. It stresses that information governance is a cross-disciplinary issue involving multiple departments. The presentation provides requirements for successful information governance programs and stresses focusing on specific quantifiable benefits to obtain support and resources
An integrated approach to data analytics can help organizations overcome silos and data hoarding by sharing processed information across decision-making processes. To become truly data-driven, organizations need a clear vision of integrating analytics throughout and a cultural shift away from just being data-informed. This requires data governance, a central analytics team, meaningful and actionable analytics products delivered at the right time, and viewing analytics as a business to build relationships and tell stories that generate insights.
This document summarizes key points from several presentations on information management and governance. It discusses the importance of partnerships in sharing information and lessons learned. It also highlights the need to support records management and information governance through knowledge exchange. Specific challenges mentioned include the large percentage of stored data with little value, and ensuring employees have proper training for their records management responsibilities. The final slides discuss Veritas becoming an independent company and establishing strategic direction.
This document discusses the importance for data scientists to ask "Why?" when taking on new projects in order to ensure they are solving important business problems rather than just problems that are interesting from a data perspective. It provides an example of working with an e-discovery company where initially focusing on social network analysis of email data but ultimately developing a solution to help attorneys understand information retrieval better addressed the real needs of the business. The key lessons are for data scientists to learn about real business problems, think creatively about how data can provide solutions, and ensure the work will actually improve the business.
Data Loss Prevention (DLP) is often the number one concern for most organizations. With the growth of mobile devices and cloud storage, most network perimeters look more like swiss cheese than brick walls.
See Full Webinar: http://www.gti1.com/webinars/?commid=64955
The Chief Data Officer: Tomorrow's Corporate RockstarKatrina Read
The transformative power of data and analytics is being harnessed by organisations around the world to make smarter, quicker and more analytical-driven decisions. At the helm of this transformation is the Chief Data Officer – a strategic leader who employs data and analytics to create tangible business value, and who is rapidly attracting rock star status.
On this slides, we tried to give an overview of advanced Data quality management (ADQM). To understand about DQ why important, and all those steps of DQ management.
Foundational Strategies for Trust in Big Data Part 2: Understanding Your DataPrecisely
This document provides an overview of understanding data through data profiling. It discusses:
1. The five key steps to effective data profiling: defining how to analyze the data, what to review, what to look for, when to build rules, and what to communicate.
2. Common challenges with big data and new data types, and measurements for assessing data quality.
3. A case study of how British Airways leveraged data profiling and governance to ensure accurate customer data across multiple systems and improve analysis, marketing and service.
Chalitha Perera | Cross Media Concept and Entity Driven Search for Enterprisesemanticsconference
This document discusses an enterprise content management solution called Sensefy that provides semantic search capabilities across heterogeneous data sources. It semantically enhances unstructured content using named entity recognition and linking to external knowledge bases. Sensefy uses the Media In Context (MICO) platform for cross-media analysis and metadata extraction. The system allows for federated search across different repositories as well as entity-driven search with disambiguation and suggestion capabilities. A demo is provided to showcase these semantic search features.
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
This document discusses big data and the importance of data quality for big data initiatives. It defines big data as large, diverse digital data sets that require new techniques to enable capture, storage, analysis and visualization. The key challenges of big data include integrating diverse structured and unstructured data sources and ensuring high quality data. The document emphasizes that poor data quality can undermine big data analytics efforts and lead to wrong insights. It promotes establishing a data quality framework including profiling, standardization, matching and enrichment to enable valid big data analytics.
Principles of Holistic Information Governance (PHIGs) presentation for the January 15, 2014 ARMA Edmonton Chapter lunch event.
PHIGs are a business centric way of looking at managing corporate information.
Stephen Cohen - The Impact of Ethics on the Architectiasaglobal
This session will place the Architect as leader, decision maker, risk manager, and agent of change in a context of professionalism and responsibility. We will explore many of the choices and actions Architects take on that are, or should be, guided by more than simple fiscal value creation but clarity of purpose in support of multiple cultures and needs.
Porting your hadoop app to horton works hdpMark Kerzner
The document discusses porting a Java-based eDiscovery application from Cloudera on Amazon EC2 to Hortonworks Hadoop Distribution Public Cloud (HDP). It provides details on setting up an HDP cluster on EC2, including choosing services to install, customizing Nagios for monitoring, and troubleshooting an initial HBase installation failure. The author seeks instructions for integrating custom control scripts during cluster startup and management.
This document provides an introduction to Apache Pig, including:
- Pig is a system for processing large unstructured data using HDFS and MapReduce. It uses a high-level data flow language called Pig Latin.
- Pig aims to increase programmer productivity by abstracting low-level MapReduce jobs and providing a procedural language for parallel data flows.
- Pig components include the Pig engine for parsing, optimizing, and executing queries, and the Grunt shell for running interactive commands.
- The document then covers Pig data types, input/output, relational operations, user-defined functions, and new features in Pig version 0.10.0.
The document discusses using Elasticsearch and Hadoop to analyze large amounts of log data from multiple servers and applications in a centralized way. It describes setting up Elasticsearch to enable fast querying of the log data, Logstash to ingest logs from various sources into Elasticsearch, and Kibana for visualization. Hadoop is used to handle the large volumes of log data, and Pig scripts are used to do analysis on the data stored in Elasticsearch.
The presentation introduces the Zeta architecture, which is described as a next generation enterprise architecture. It consists of 7 main components that work together including global resource management, distributed file system, and enterprise applications. The architecture allows for dynamic allocation of resources, data locality, and improved business continuity. Examples are given around implementing the Zeta architecture for web server logs and an advertising platform. Benefits highlighted include reduced costs, improved scalability, and enabling real-time capabilities.
Nutch + Hadoop scaled, for crawling protected web sites (hint: Selenium)Mark Kerzner
The document summarizes a presentation on using Nutch with Hadoop for web crawling. It discusses Nutch's architecture and how it can be configured to crawl specific domains. It also describes how Nutch can be scaled using HDFS for storage and MapReduce for crawling. The presentation demonstrates using Burp and Selenium tools with Nutch to perform tasks like password testing and browser interaction during the crawling process.
- Cloudera Search provides an overview of using Solr on Hadoop for search capabilities.
- Key projects involved include Lucene, Solr, and Hadoop which can be integrated to allow indexing of data on HDFS and querying via search.
- The presentation discusses architectural details of running Solr on HDFS and integrating other Hadoop projects like HBase, MapReduce, and Hue.
The document discusses Informatica's data integration platform and its capabilities for big data and analytics projects. Some key points:
- Informatica is a leading data integration vendor with over 5,000 customers including over 70% of the Global 500.
- The Informatica platform provides capabilities across the entire data lifecycle from ingestion to delivery including data quality, master data management, integration, and analytics.
- It supports a variety of data sources including structured, unstructured, cloud, and big data and can run on-premises or in the cloud.
- Customers report the Informatica platform improves agility, scalability, and operational confidence for data integration projects compared to
Hadoop as a service presented by Ajay Jha at Houston Hadoop MeetupMark Kerzner
Altiscale provides a big data-as-a-service platform based on Apache Hadoop and related technologies like Spark, Hive, and Tez. Interest in big data is growing rapidly but many independent implementations fail. Altiscale aims to help with its experienced team and fully managed platform that offers fast time to value, scalability, security, and lower total cost of ownership. The platform core is built on Apache Hadoop 2.7.1 and related open source projects. Altiscale also provides Hadoop administration services and tools for accessing and running jobs on the cloud platform.
The document provides guidance on launching a career in big data. It outlines a 4 step process: 1) learn skills through books, tutorials, meetups and hands-on practice. 2) network by attending meetups, conferences and finding decision makers. 3) become known by contributing to open source projects, writing blogs/articles, and speaking at events. 4) get hired using your experience, network and reputation as an expert in the field. The document encourages learning big data tools like Hadoop, practicing on virtual machines, and contributing to projects on GitHub to boost employability.
Hubbub is a voice-based social networking platform that allows users to listen to 30 second voice messages from other users, follow accounts, and comment by voice. It aims to combine social networking with everyday listening activities like driving to create a non-distracting experience. The platform utilizes voice authentication for security, voice command controls, audio search, and integrates external music streaming. The 12 person team plans to launch with a freemium model including advertising to enter the $10.4 billion social media market with this vacant voice-based niche.
Hubbub is an online and mobile wellness solution that uses social circles and games to motivate employees to live healthier lifestyles. It offers a variety of physical activity, nutrition, and lifestyle challenges that employees can participate in individually or as teams. Challenges include exercising, eating healthy foods, stress management, and volunteering. Hubbub is available to companies of all sizes with no contracts or upfront fees through a monthly subscription. It aims to make wellness programs simple and time-saving for both employees and employers.
An overview of the collaborative process used by the Technology Advancement Core at the School of Community and Global Health at Claremont Graduate University.
BBR Security & Man Power Services is a security and staffing company based in Dehradun, India. It was founded over a decade ago to provide security guards, armed guards, and other staffing services to industrial, commercial, domestic, and corporate clients. BBR aims to provide total safety and security to protect lives and property. It complies with all applicable labor laws and provides training to employees in basic security practices, fire safety, first aid, and other areas. BBR has several branches across Uttarakhand and serves clients in various industries.
This document discusses next-generation optical access networks and moving toward providing 10 Gbps connectivity everywhere. It outlines several key points:
1) It discusses the business and architectural issues with current networks and the need for a paradigm shift toward more flexible, dynamically reconfigurable networks.
2) It proposes an ultimate optical network architecture using a common infrastructure for access, metro, and backbone networks to gain statistical multiplexing benefits across different traffic patterns and usage.
3) It introduces a quantitative analysis framework using an extended equivalent circuit rate (ECR) metric to define and measure a requirement of "10 Gbps everywhere" in a quantifiable way for different network architectures.
Microthrusters are used to propel and orient small (miniature satellites). Various systems are developed till now. In this system there is a MEMS valve that opens or closes to operate the truster.
Learn about the background, methodology, and terminology of digital book printing. Also view an analysis of the book market, with highlights on digital book manufacturing, trade books, education books, professional books, and more
This document provides an introduction and overview of Spark:
- Spark is an open-source in-memory data processing engine that can handle large datasets across clusters of computers using an API in Scala, Python, or R.
- IBM is heavily committed to Spark, contributing the most code and fixing the most issues reported by other organizations to continually improve the full analytics stack.
- An example is presented on using Spark to predict hospital readmissions from diabetes patient data, obtaining AUC scores comparable to other published models.
Yosef Kerzner's report on Toorcamp 2016. Presented at Houston Hadoop Meetup in July 2016.
• Your own drone to deliver vegetarian tacos from nearby town (of Seattle)
• Reverse engineering and attacking the .NET applications
• Hacking the North American railways, and more...
Witsml data processing with kafka and spark streamingMark Kerzner
This document summarizes a presentation about using Kafka and Spark Streaming to process real-time well data in WITSML format. It discusses WITSML data standards, using Kafka as a messaging system to ingest WITSML data from rigs and service companies, and Spark Streaming to consume Kafka topics and apply rules to detect anomalies and send alerts. Visualizing the data in real-time using Highcharts javascript is also covered. Lessons learned focus on improving data partitioning and managing producer/consumer services.
Altiscale provides a big data-as-a-service platform based on Apache Hadoop and related technologies like Spark, Hive, and Tez. Interest in big data is growing rapidly but many independent implementations fail. Altiscale aims to help with its experienced team and fully managed platform that offers fast time to value, scalability, security, and lower total cost of ownership. The platform core is Apache open source components like Hadoop, Spark, Hive and Tez. Altiscale handles administration of the Hadoop cluster including hardware, upgrades, tuning, and addressing failures so customers can focus on their data and jobs.
Apache NiFi is a dataflow system developed at NSA that was donated to the Apache Software Foundation in 2014. It provides real-time data routing, transformation, and system mediation capabilities with an intuitive visual interface. Key features include flow-based programming, provenance tracking, security controls, and clustering support. The system aims to automate dataflows from any source to systems that analyze or store the data.
FreeEed eDiscovery Popcorn is a free and easy to use eDiscovery application that allows lawyers to process client data for lawsuits. It comes pre-installed as a virtual machine kernel that can be downloaded and used to "cook" client data. Each kernel represents a single case, allowing data to be securely separated and processed independently. The kernels can also be archived and reused later as needed. It provides a low-cost alternative to traditional expensive eDiscovery systems that do not allow for such flexibility.
The document discusses FreeEed, an open source Hadoop-based eDiscovery tool. It provides scalable processing and review of electronic documents for legal cases. FreeEed allows preservation, archiving, and production of documents in a way that complies with legal regulations. It uses Hadoop and NoSQL technologies like Lucene, Solr, and HBase to allow fast searching and culling of large document collections in an affordable and scalable manner. FreeEed aims to make eDiscovery more accessible to small law firms and individuals by providing a free and open source option.
Automated Hadoop Cluster Construction on EC2Mark Kerzner
This document discusses options for running Hadoop clusters on Amazon EC2, including using tools like Whirr to automate cluster setup, limitations of Whirr, using Amazon EMR, manually setting up clusters, and advanced options like monitoring cluster health. It also provides context on Hadoop, clouds, and related technologies like HBase, Cassandra, and different Hadoop distributions from Cloudera, MapR, and others.
The document discusses configuring and running a Hadoop cluster on Amazon EC2 instances using the Cloudera distribution. It provides steps for launching EC2 instances, editing configuration files, starting Hadoop services, and verifying the HDFS and MapReduce functionality. It also demonstrates how to start and stop an HBase cluster on the same EC2 nodes.
The document discusses open source eDiscovery software called FreeEed. It provides an overview of FreeEed's current capabilities including text extraction, flexible search, and scalability across Windows, Mac, Linux and Hadoop clusters. The document also outlines FreeEed's processing stages and screens. Future plans for FreeEed include Amazon cloud processing, enhanced capabilities using Big Data technology, and iPad/tablet review interfaces. The creator of FreeEed sees an exciting future applying Big Data technology to advanced review tasks like predictive coding and automated privilege review.
FreeEed is an open source eDiscovery software that uses big data technologies like Hadoop for processing electronic documents during legal cases. It can currently perform text and metadata extraction and culling during discovery. It will soon add review, analysis, production and presentation capabilities. FreeEed can also do preservation and collection. It leverages modern technologies from open source tools like Tika for extraction and Lucene for searching. It has advantages like easy use, integration with other tools, and community support. FreeEed can run standalone, on Linux clusters, or on Amazon cloud from a laptop. It uses a staging, extraction, culling and output workflow.
Houston Hadoop Meetup Presentation by Vikram Oberoi of ClouderaMark Kerzner
The document discusses Hadoop, an open-source software framework for distributed storage and processing of large datasets across clusters of commodity hardware. It describes Hadoop's core components - the Hadoop Distributed File System (HDFS) for scalable data storage, and MapReduce for distributed processing of large datasets in parallel. Typical problems suited for Hadoop involve complex data from multiple sources that need to be consolidated, stored inexpensively at scale, and processed in parallel across the cluster.
Google's Zurich office aims to reimagine how work could be by focusing on employee well-being, flexibility, and purpose over traditional metrics. However, the document suggests that while new visions for work are inspiring, practical realities must still be faced in implementing meaningful changes to traditional work structures and cultures. The high-level ideas presented require further refinement and consideration of challenges to become established models.
This very short document is written in an unknown language and does not contain any discernible information that could be summarized in 3 sentences or less. The document appears to only contain symbols with no meaningful words that can be understood.
The document is a photo and video of the Holocaust Memorial in Miami Beach, Florida. It was taken by Rafael (Tato) Gonzalez and includes a video by Amalia Agramonte. The memorial commemorates the victims of the Holocaust in World War II.
Yehuda Pen was born on June 2, 1854 and murdered on March 2, 1937. He was a Jewish musician and composer who was born in Poland and murdered in the Holocaust at the age of 83. The brief document provides only the birth and death dates of Yehuda Pen along with the genre of music he composed, which was klezmer music.
Marc Chagall (1887-1985) was a Russian-French artist. Some of his most famous works include I and the Village from 1911, Adam and Eve from 1912, and The Cattle Dealer from 1912. Throughout his career, Chagall explored themes of love, religion, and spirituality in paintings such as The Praying Jew from 1923 and Lovers with Flowers from 1927. He is also known for works featuring surreal elements like floating figures such as Bouquet with Flying Lovers from 1934-1947.
This document discusses the city of Venice, Italy. It mentions the song "Venice Without You" by Charles Aznavour, the Venice Carnival, and Murano glass craftsmanship. The document provides brief information about cultural aspects of Venice.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
I am Mark Kerzner, etc. etcSHMsoft is a technology firm specializing in Big Data and Hadoop.We have created award-winning software for eDiscovery, which is essentially enterprise search for lawyers.eDiscovery is a $4B market, steadily growing at 15% per year
My story began a few years ago when, after the sale of an oil exploration software I’ve created, I started learning lawThis is the third eDiscovery system I have architected, and on this journey I am accompanied by a great team
There is a lot of data in the legal worldIt is poorly processedIt is badly understoodCompanies and their Lawyers consider eDiscovery a burden. [talk a bit about the typical cost]Our winning mindset:We analyze all available data using cluster-based computingWe use extremely smart analytics to understand what the documents are sayingThe computers use all available case law information and teach us the best arguments to useThis becomes a powerful weapon in the arsenal
First we distill the large amount of data and prepare it for smart analytics; for example, we can process all of Enron data in 1 hour on a 50-node cluster.Then we classify and categorize the data into precisely defined groups and concepts.Finally, we apply the knowledge obtained from all other sources to our data, to find the documents and the arguments that support the winning claims.
The LegalTech is going in NY, but we have the record number of companies contact us for evaluation
The vision for this technology: expand the technology to more areas Legal Compliance Data governance Bioinformatics Oil & GasAll these areas are on the verge of a Big Data revolution and we can help them to ride this wave.