Ke Labs presentation for the Data Science Indy Meetup. We describe in detail the benefits of our software for the creation of information base application and use by data scientists.
Is Your Staff Big Data Ready? 5 Things to Know About What It Will Take to Suc...CompTIA
This document discusses the importance of big data readiness for organizations and assessing an organization's current data skills and capabilities. It finds that most executives agree that harnessing all organizational data would strengthen their business. It then provides a framework for data mapping and discusses that effective data management requires a team approach. It also outlines the variety of skills needed, from IT to business skills, and that organizations plan to meet skills needs through training, hiring and contracting. There is also a projected shortage of big data workers due to increased demand.
At the end of 2+ year-hardwork, we designed Integer8-Visual Integration Software for companies to be more productive while processing big data. We combine Spark, Yarn, Hive and HDFS together and we create a web-based enterprise level data integration platform on which developers can easily create ETL and integration flows by drag&drop. By the help of this infrastructure, developers do not need to know all details about Hadoop/map-reduce and other Hadoop tools. We desing Integer8 to be used by SQL which is the most popular language on data processing and we provide a connection over JDBC/ODBC for other BI tools to query directly from HDFS.
Enabling Social Network Analysis in Distributed Collaborative Software Develo...Hans-Joerg Happel
"Enabling Social Network Analysis in Distributed Collaborative Software Development" (Tommi Kramer, Tobias Hildenbrand, Thomas Acker)
Social network analysis in software engineering attains an important role in
project support as more and more projects have to be conducted in globally-distributed
settings. Distributed project participants and software artifacts, such as requirements
specifications, architectural models, and source code, can seriously impede efficient
collaboration. However, collaborative software development platforms bear the potential
information for facilitating distributed projects through adequate information
supply. Hence, we developed a method and tool implementation for applying social
network analysis techniques in globally-distributed settings and thus provide superior
information on expertise location, co-worker activities, and personnel development.
Getting started with Cosmos DB + Linkurious EnterpriseLinkurious
Nowadays, many real-world applications generate data that is naturally connected, but traditional systems fail to capture the value it represents. Thanks to its graph API, the multi-model database Cosmos DB lets you model and store graph-like data. On top of Cosmos DB, Linkurious Enterprise is turnkey solution to detect and investigate insights through an interface for graph data visualization and analysis.
In this presentation, we will explain the value of graphs and show how to get started with Cosmos DB and Linkurious Enterprise to accelerate the discovery of new insights in your connected data.
ISWC 19 - On the Use of Cloud and Semantic Web Technologies for Generative De...Daniel Mercier
This document discusses using cloud and semantic web technologies for generative design. It outlines challenges like offering multi-physics solvers, aggregating necessary data, and guiding users. It then describes efforts to develop a data unification service using ontologies, a validation and recommendation engine, and enhancing data and metadata management. Knowledge graphs are discussed as a source of data cohesion and bridge between human and machine. Semantic technologies are presented as a good first layer of intelligence to complement machine learning.
TUW-ASE Summer 2015: Advanced service-based data analytics: Models, Elasticit...Hong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase
Ke Labs presentation for the Data Science Indy Meetup. We describe in detail the benefits of our software for the creation of information base application and use by data scientists.
Is Your Staff Big Data Ready? 5 Things to Know About What It Will Take to Suc...CompTIA
This document discusses the importance of big data readiness for organizations and assessing an organization's current data skills and capabilities. It finds that most executives agree that harnessing all organizational data would strengthen their business. It then provides a framework for data mapping and discusses that effective data management requires a team approach. It also outlines the variety of skills needed, from IT to business skills, and that organizations plan to meet skills needs through training, hiring and contracting. There is also a projected shortage of big data workers due to increased demand.
At the end of 2+ year-hardwork, we designed Integer8-Visual Integration Software for companies to be more productive while processing big data. We combine Spark, Yarn, Hive and HDFS together and we create a web-based enterprise level data integration platform on which developers can easily create ETL and integration flows by drag&drop. By the help of this infrastructure, developers do not need to know all details about Hadoop/map-reduce and other Hadoop tools. We desing Integer8 to be used by SQL which is the most popular language on data processing and we provide a connection over JDBC/ODBC for other BI tools to query directly from HDFS.
Enabling Social Network Analysis in Distributed Collaborative Software Develo...Hans-Joerg Happel
"Enabling Social Network Analysis in Distributed Collaborative Software Development" (Tommi Kramer, Tobias Hildenbrand, Thomas Acker)
Social network analysis in software engineering attains an important role in
project support as more and more projects have to be conducted in globally-distributed
settings. Distributed project participants and software artifacts, such as requirements
specifications, architectural models, and source code, can seriously impede efficient
collaboration. However, collaborative software development platforms bear the potential
information for facilitating distributed projects through adequate information
supply. Hence, we developed a method and tool implementation for applying social
network analysis techniques in globally-distributed settings and thus provide superior
information on expertise location, co-worker activities, and personnel development.
Getting started with Cosmos DB + Linkurious EnterpriseLinkurious
Nowadays, many real-world applications generate data that is naturally connected, but traditional systems fail to capture the value it represents. Thanks to its graph API, the multi-model database Cosmos DB lets you model and store graph-like data. On top of Cosmos DB, Linkurious Enterprise is turnkey solution to detect and investigate insights through an interface for graph data visualization and analysis.
In this presentation, we will explain the value of graphs and show how to get started with Cosmos DB and Linkurious Enterprise to accelerate the discovery of new insights in your connected data.
ISWC 19 - On the Use of Cloud and Semantic Web Technologies for Generative De...Daniel Mercier
This document discusses using cloud and semantic web technologies for generative design. It outlines challenges like offering multi-physics solvers, aggregating necessary data, and guiding users. It then describes efforts to develop a data unification service using ontologies, a validation and recommendation engine, and enhancing data and metadata management. Knowledge graphs are discussed as a source of data cohesion and bridge between human and machine. Semantic technologies are presented as a good first layer of intelligence to complement machine learning.
TUW-ASE Summer 2015: Advanced service-based data analytics: Models, Elasticit...Hong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase
Detecting eCommerce Fraud with Neo4j and LinkuriousNeo4j
Last year, the global eCommerce market represented $1.9 trillions. As the market expands worldwide, the opportunity for fraud keeps growing with fraudsters constantly refining their tactics to outsmart anti-fraud frameworks. From chargeback fraud to re-shipping scam or identity fraud, numerous types of fraud can impact your organization. While collecting data is essential to enable real-time risk assessment, many organizations don’t have the necessary tools to find the insights needed to block fraud attempts.
Neo4j and Linkurious offer a solution to tackle the eCommerce fraud challenge. Their combined technologies provide a 360° overview of organization’s data and allow real-time analysis and detection of eCommerce fraud patterns and activities.
In this webinar, you will learn about:
- The current trends of eCommerce frauds and the risks for organizations;
- The challenges of detecting fraud tentatives in real-time and the advantage of the graph approach;
- How to use Linkurious’ graph visualization and analysis software to prevent and investigate eCommerce fraud.
Oracle Stream Explorer - Simplifying Event/Stream ProcessingGuido Schmutz
The announcement of the Oracle StreamXplorer was a major step forward for bringing event processing to the masses. It so much simplyfies the implementation of event processing solutions: any business analyst will be able to graphically and decleratively define event stream processing pipelines, without having to write a single line of code or CQL. Event Processing is no longer “complex”! This session will present what Oracle StreamXplorer is and how it simplifies the development of event processing solutions compared to the Event Processing framework of the Oracle SOA Suite.
What are the benefits of metadata-driven automation for big data and data warehouse solutions? Here you can find the slide of Gregor Zeiler's session at the Data Modeling Zone (#DMZone) on the 25th of September in Dusseldorf, Germany
Qualitative data analysis software's By Iqbal RanaIqbal Rana
this ppt is the brief introduction of Qualitative data analysis software. it will be helpful for beginner researchers to opt a relevant data analysis software for their research
How OpenTable uses Big Data to impact growth by Raman MaryaData Con LA
OpenTable's data engineering solutions include data pipelines to ingest restaurant reservation data from multiple sources into a data lake in Parquet format. This data is then processed in real-time using Spark Streaming and made available through Presto for analytics and APIs. Key challenges involve finding talent, adapting to schema changes, monitoring systems, and integrating new data sources and events.
The document summarizes a presentation on data visualization with D3.js given by Brian Greig to the Charlotte Front-End Developers group. The presentation covered data visualization concepts, accessing data via APIs, basic D3 components like binding data, building visualizations, and making visualizations interactive. It provided examples of good data visualizations and discussed key terms. It also outlined the steps to structure a D3 application, including initializing scales and domains, entering and updating data, and cleaning up.
The document summarizes a presentation on data visualization with D3.js given by Brian Greig to the Charlotte Front-End Developers group. The presentation introduced data visualization concepts and the D3 library, covered accessing data via APIs, building basic visualization components like scales and axes, binding data, and making visualizations interactive. It provided examples of effective data visualizations and discussed best practices for structuring visualizations and giving proper context to data.
Experience Tableau's hands-on training through instructor-led, live and on-demand courses. Our Instructors deliver what are the qualities required to become proficient in Tableau to all the individuals
This slide deck explains in a comprehensive way what Power BI is, how the Power BI architecture looks like and what the usage scenarios are for using Power BI and related tools
Power BI: Types of gateways in Power BIAmit Kumar ☁
Power BI gateways allow access to on-premises data sources from Power BI reports. There are two types of gateways: 1) A personal gateway allows a single user to connect to sources for use in Power BI reports only. 2) An enterprise gateway allows multiple users to connect to multiple sources for use across Power BI, PowerApps, and other tools, with centralized management. The enterprise gateway is better suited for complex scenarios involving multiple users and data sources.
Mohamed Sabri: Operationalize machine learning with KubeflowLviv Startup Club
This document summarizes a hands-on workshop on Kubeflow Pipeline. The workshop will cover requirements, an introduction to the presenter Mohamed Sabri, and their approach of strategizing, shaping, and spreading knowledge. It then discusses operationalizing machine learning (MLOps) and provides an analysis, design, coaching, and implementation framework. Deliverables include an implemented MLOps environment, training sessions, design documents, and a recommendations roadmap. The rest of the document discusses MLOps architectures, challenges, example technologies and tools, a use case, and deployment workflows from notebooks to production.
Oracle NoSQL DB & InfiniteGraph - Trends in Big Data and Graph TechnologyInfiniteGraph
Join Oracle NoSQL DB and InfiniteGraph development teams in a discussion of the latest trends in Big Data and Graph Technology. Learn what Oracle’s view of Big Data is and how Oracle NoSQL Database technologies enable you to manage vast amounts of real-time key-value data.
Gianluigi Vigano, Senior Architect and Fouad Teban, Regional Presales Manager...Dataconomy Media
Gianluigi Vigano, Senior Architect and Fouad Teban, Regional Presales Manager at HPE, presented "Using advanced analytics functions of HPE Vertica for the following use cases: IoT, clickstream, machine data, integration with Hadoop & Kafka …" as part of the Big Data, Budapest v 3.0 meetup organised on the 19th of May 2016 at Skyscanner's headquarters.
Introduction to Power BI a Business Intelligence Tool by Apurva RamtekeApurva Ramteke
Power BI is a tool which provides users with very intelligent statistical analysis of raw data and to derive beautiful reports out of it using hundreds of power Visualization. Not just it Power BI provides a build in advantage of Power Views and Power Queries derived from Excel as a base with a very easy process learning. I personally call it very Intelligently dumb tool, because its so easy for normal user to use it and make highly interactive reporting and Dashboards. The Dashboard which are created can be shared with multiple users with specific permission levels to access the reports.
Social Requirements Engineering and the RWTH Aachen University Test BedRalf Klamma
This document discusses social requirements engineering and the RWTH Aachen University test bed. It outlines approaches for continuous requirements engineering including collaborative processes and adaptation models. It also describes using social network analysis and visualization tools to integrate requirements engineering into online communities and platforms.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
How IBM is Creating a Foundation for Cloud InnovationCCG
IBM is making waves in the Cloud Innovation. At our Data Analytics Meetup, Tom Ericsson, explores the transformation that IBM has taken with its recent announcement of moving from Bluemix to Cloud.
This document discusses DataOps, which is an agile methodology for developing and deploying data-intensive applications. DataOps supports cross-functional collaboration and fast time to value. It expands on DevOps practices to include data-related roles like data engineers and data scientists. The key goals of DataOps are to promote continuous model deployment, repeatability, productivity, agility, self-service, and to make data central to applications. It discusses how DataOps brings flexibility and focus to data-driven organizations through principles like continuous model deployment, improved efficiency, and faster time to value.
Detecting eCommerce Fraud with Neo4j and LinkuriousNeo4j
Last year, the global eCommerce market represented $1.9 trillions. As the market expands worldwide, the opportunity for fraud keeps growing with fraudsters constantly refining their tactics to outsmart anti-fraud frameworks. From chargeback fraud to re-shipping scam or identity fraud, numerous types of fraud can impact your organization. While collecting data is essential to enable real-time risk assessment, many organizations don’t have the necessary tools to find the insights needed to block fraud attempts.
Neo4j and Linkurious offer a solution to tackle the eCommerce fraud challenge. Their combined technologies provide a 360° overview of organization’s data and allow real-time analysis and detection of eCommerce fraud patterns and activities.
In this webinar, you will learn about:
- The current trends of eCommerce frauds and the risks for organizations;
- The challenges of detecting fraud tentatives in real-time and the advantage of the graph approach;
- How to use Linkurious’ graph visualization and analysis software to prevent and investigate eCommerce fraud.
Oracle Stream Explorer - Simplifying Event/Stream ProcessingGuido Schmutz
The announcement of the Oracle StreamXplorer was a major step forward for bringing event processing to the masses. It so much simplyfies the implementation of event processing solutions: any business analyst will be able to graphically and decleratively define event stream processing pipelines, without having to write a single line of code or CQL. Event Processing is no longer “complex”! This session will present what Oracle StreamXplorer is and how it simplifies the development of event processing solutions compared to the Event Processing framework of the Oracle SOA Suite.
What are the benefits of metadata-driven automation for big data and data warehouse solutions? Here you can find the slide of Gregor Zeiler's session at the Data Modeling Zone (#DMZone) on the 25th of September in Dusseldorf, Germany
Qualitative data analysis software's By Iqbal RanaIqbal Rana
this ppt is the brief introduction of Qualitative data analysis software. it will be helpful for beginner researchers to opt a relevant data analysis software for their research
How OpenTable uses Big Data to impact growth by Raman MaryaData Con LA
OpenTable's data engineering solutions include data pipelines to ingest restaurant reservation data from multiple sources into a data lake in Parquet format. This data is then processed in real-time using Spark Streaming and made available through Presto for analytics and APIs. Key challenges involve finding talent, adapting to schema changes, monitoring systems, and integrating new data sources and events.
The document summarizes a presentation on data visualization with D3.js given by Brian Greig to the Charlotte Front-End Developers group. The presentation covered data visualization concepts, accessing data via APIs, basic D3 components like binding data, building visualizations, and making visualizations interactive. It provided examples of good data visualizations and discussed key terms. It also outlined the steps to structure a D3 application, including initializing scales and domains, entering and updating data, and cleaning up.
The document summarizes a presentation on data visualization with D3.js given by Brian Greig to the Charlotte Front-End Developers group. The presentation introduced data visualization concepts and the D3 library, covered accessing data via APIs, building basic visualization components like scales and axes, binding data, and making visualizations interactive. It provided examples of effective data visualizations and discussed best practices for structuring visualizations and giving proper context to data.
Experience Tableau's hands-on training through instructor-led, live and on-demand courses. Our Instructors deliver what are the qualities required to become proficient in Tableau to all the individuals
This slide deck explains in a comprehensive way what Power BI is, how the Power BI architecture looks like and what the usage scenarios are for using Power BI and related tools
Power BI: Types of gateways in Power BIAmit Kumar ☁
Power BI gateways allow access to on-premises data sources from Power BI reports. There are two types of gateways: 1) A personal gateway allows a single user to connect to sources for use in Power BI reports only. 2) An enterprise gateway allows multiple users to connect to multiple sources for use across Power BI, PowerApps, and other tools, with centralized management. The enterprise gateway is better suited for complex scenarios involving multiple users and data sources.
Mohamed Sabri: Operationalize machine learning with KubeflowLviv Startup Club
This document summarizes a hands-on workshop on Kubeflow Pipeline. The workshop will cover requirements, an introduction to the presenter Mohamed Sabri, and their approach of strategizing, shaping, and spreading knowledge. It then discusses operationalizing machine learning (MLOps) and provides an analysis, design, coaching, and implementation framework. Deliverables include an implemented MLOps environment, training sessions, design documents, and a recommendations roadmap. The rest of the document discusses MLOps architectures, challenges, example technologies and tools, a use case, and deployment workflows from notebooks to production.
Oracle NoSQL DB & InfiniteGraph - Trends in Big Data and Graph TechnologyInfiniteGraph
Join Oracle NoSQL DB and InfiniteGraph development teams in a discussion of the latest trends in Big Data and Graph Technology. Learn what Oracle’s view of Big Data is and how Oracle NoSQL Database technologies enable you to manage vast amounts of real-time key-value data.
Gianluigi Vigano, Senior Architect and Fouad Teban, Regional Presales Manager...Dataconomy Media
Gianluigi Vigano, Senior Architect and Fouad Teban, Regional Presales Manager at HPE, presented "Using advanced analytics functions of HPE Vertica for the following use cases: IoT, clickstream, machine data, integration with Hadoop & Kafka …" as part of the Big Data, Budapest v 3.0 meetup organised on the 19th of May 2016 at Skyscanner's headquarters.
Introduction to Power BI a Business Intelligence Tool by Apurva RamtekeApurva Ramteke
Power BI is a tool which provides users with very intelligent statistical analysis of raw data and to derive beautiful reports out of it using hundreds of power Visualization. Not just it Power BI provides a build in advantage of Power Views and Power Queries derived from Excel as a base with a very easy process learning. I personally call it very Intelligently dumb tool, because its so easy for normal user to use it and make highly interactive reporting and Dashboards. The Dashboard which are created can be shared with multiple users with specific permission levels to access the reports.
Social Requirements Engineering and the RWTH Aachen University Test BedRalf Klamma
This document discusses social requirements engineering and the RWTH Aachen University test bed. It outlines approaches for continuous requirements engineering including collaborative processes and adaptation models. It also describes using social network analysis and visualization tools to integrate requirements engineering into online communities and platforms.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
How IBM is Creating a Foundation for Cloud InnovationCCG
IBM is making waves in the Cloud Innovation. At our Data Analytics Meetup, Tom Ericsson, explores the transformation that IBM has taken with its recent announcement of moving from Bluemix to Cloud.
This document discusses DataOps, which is an agile methodology for developing and deploying data-intensive applications. DataOps supports cross-functional collaboration and fast time to value. It expands on DevOps practices to include data-related roles like data engineers and data scientists. The key goals of DataOps are to promote continuous model deployment, repeatability, productivity, agility, self-service, and to make data central to applications. It discusses how DataOps brings flexibility and focus to data-driven organizations through principles like continuous model deployment, improved efficiency, and faster time to value.
Breed data scientists_ A Presentation.pptxGautamPopli1
The document discusses changes in the field of data science, including more available data, improved tools and cloud technologies, and the need for multi-disciplinary teams and standardized processes. It highlights the importance of data quality and engineering, noting that data scientists spend most of their time cleaning and organizing data. The Microsoft "Team Data Science Process" is presented as a standardized approach for data science projects using tools like Visual Studio Team Services. Resources like Coursera courses and libraries from Microsoft and Cloudera are recommended to learn skills and technologies in the field.
This document discusses data science and machine learning concepts and tools. It introduces the IBM Data Science Experience (DSX) and Watson Machine Learning (WML) products, which provide environments for data scientists and developers to build machine learning models. DSX offers notebooks, IDEs and collaboration tools, while WML focuses on visual model creation, access to algorithms, full ML workflows and APIs. It then demonstrates these products.
The document discusses the Total Data Science Process (TDSP) which aims to integrate DevOps practices into the data science workflow to improve collaboration, quality, and productivity. The TDSP provides standardized components like a data science lifecycle, project templates and roles, reusable utilities, and shared infrastructure to help address common challenges around organization, collaboration, quality control, and knowledge sharing for data science teams. It describes the various TDSP components that standardize the data science process and ease challenges around the data science solutions development lifecycle.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
The document discusses the Common Data Model (CDM) and how to use it. It describes CDM as an open-sourced definition of standard business entities that provides a common data model that can be shared across applications. It outlines how CDM allows building applications faster by composing analytics, user experiences, and automation using integrated Microsoft services. It also discusses moving data into CDM using the Data Integrator and building applications with CDM using PowerApps, the CDS SDK, Microsoft Flow, and Power BI.
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
Simplifying AI and Machine Learning with Watson StudioDataWorks Summit
Are you seeing benefits from big data, AI and machine learning? Some companies are challenged by the complexity of the tools, access to quality data and the ability to operationalize these technologies. IBM’s Watson Studio addresses the needs of developers, data scientists and business analysts – who need to create, train and deploy machine and deep learning models, analyze and visualize data – all in an easy-to-use platform. Watson Studio supports Apple’s Core ML with Watson Visual Recognition service. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy models at scale. When coupled with IBM Watson Knowledge Catalog, it enables companies to create a secure catalog of AI assets including datasets, documents and models. In this session, you will learn how to use these new offerings to solve real world business problems and infuse AI into your business to drive innovation.
Speaker
Sumit Goyal, IBM, Software Engineer
This document contains contact information for Marcos Freccia, a SQL Server DBA and Data Platform MVP at Zalando SE. It also lists some common challenges for BI professionals such as managing data in the cloud, ease of use and adoption, keeping data current, integration with existing environments, and managing BI systems. Finally, it provides an overview of Power BI including its key benefits, data sources, visualization capabilities, and integration with other Microsoft products.
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.
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...David J Rosenthal
This document provides an overview of SQL Server 2014 and related Microsoft business intelligence and analytics products. It discusses the following key capabilities:
1) Faster insights can be gained from any type and size of data using tools like Power BI, Power Query, and Polybase.
2) Self-service BI is enabled through Excel with features like PowerPivot and Power View that allow users to easily discover, visualize and share insights.
3) Hadoop and big data analytics are supported through HDInsight and capabilities like Polybase that allow SQL queries to span both relational and Hadoop data.
NLS Quest - BI Suite is a complete business intelligence solution that facilitates data integration, reporting, analysis, and dashboard setup through easy access to an organization's electronically stored data extracted in real-time. It provides flexible, reliable reporting and extractions through a drag-and-drop interface with high-level security and no modifications to the host database. The main components include N-Bridge for data extraction, reporting and dashboard designers, a data analysis engine, and a report server.
zData BI & Advanced Analytics Platform + 8 Week Pilot ProgramszData Inc.
This document describes zData's BI/Advanced Analytics Platform and Pilot Programs. The platform provides tools for storing, collaborating on, analyzing, and visualizing large amounts of data. It offers machine learning and predictive analytics. The platform can be deployed on-premise or in the cloud. zData also offers an 8-week pilot program that provides up to 1TB of data storage and full access to the platform's tools and services to test out the Big Data solution.
The document discusses information management and defines it as capturing, storing, managing, preserving, and delivering information. It also discusses cloud platforms, services, types, and provides examples of enterprise services, architectures, methodologies and blueprints for implementing information management solutions.
This document provides an overview of James Serra's background and experience. He has over 30 years of experience in IT working on various BI and data warehouse projects. Currently, he is a Big Data Evangelist at Microsoft in NYC. He has held various roles including developer, DBA, architect, and consultant. He maintains a blog and has presented at various conferences. His certifications include MCSE: Data Platform, Business Intelligence and Azure solutions.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
Architecting an Open Source AI Platform 2018 editionDavid Talby
How to build a scalable AI platform using open source software. The end-to-end architecture covers data integration, interactive queries & visualization, machine learning & deep learning, deploying models to production, and a full 24x7 operations toolset in a high-compliance environment.
The document summarizes the key capabilities of Microsoft's Visual Studio 2010 and Team Foundation Server for improving the software development lifecycle. It discusses how the tools can help ensure quality code, enhance team collaboration through integration, and allow teams to spend more time creating code rather than debugging it. The tools provide capabilities for version control, build automation, testing, project management, code analysis, modeling, and more to help deliver projects on time and on budget.
Similar to Future.ready().watson dataplatform 01 (20)
Il resoconto-racconto del lavoro portato avanti da InnovaPuglia negli anni 2014-2018 insieme ai colleghi dell’amministrazione regionale, con cui si è mantenuto sempre un rapporto di collaborazione e sinergia interorganica.
Cooperation Agreement Puglia Region – OECD “Pilot Action on Strategic Public Procurement” Workshop“ Procurement of Innovation in Puglia” Bari, 16-17 December 2019
Cooperation Agreement Puglia Region – OECD “Pilot Action on Strategic Public Procurement” Workshop “Procurement of Innovation in Puglia” Bari, 16-17 December 2019
Intervento Chris Neely a International Business Forum: le nuove frontiere dell'IT in Puglia" 7 - 8 novembre 2019 - Grand Hotel Masseria Santa Lucia di Ostuni. Chris Neely, Director, Systems Engineering, IBM
Intervento Carlo Mauceli a International Business Forum: le nuove frontiere dell'IT in Puglia" 7 - 8 novembre 2019 - Grand Hotel Masseria Santa Lucia di Ostuni. Carlo Mauceli, National Digital Officer, MICROSOFT
The new frontiers of it in apulia experiences for global security paul dcruz ...Redazione InnovaPuglia
Intervento Paul D’Cruz a International Business Forum: le nuove frontiere dell'IT in Puglia" 7 - 8 novembre 2019 - Grand Hotel Masseria Santa Lucia di Ostuni. Paul D’Cruz, Director, SecOps EMEAR CISCO
Intervento Danilo Caivano a International Business Forum: le nuove frontiere dell'IT in Puglia" 7 - 8 novembre 2019 - Grand Hotel Masseria Santa Lucia di Ostuni. Danilo Caivano, Osservatorio IT, Distretto Produttivo dell’Informatica Pugliese, Dipartimento di Informatica, Università degli studi di Bari
13.00 -
The document discusses the CINI Cybersecurity National Laboratory in Italy. It is one of the National Labs of the Italian Committee for Cybersecurity Research, which is a consortium of 47 Italian universities conducting cybersecurity research. The lab has 53 nodes across universities in Italy, with over 500 researchers. It aims to foster the Italian cybersecurity ecosystem through activities like community building, developing frameworks, and organizing the annual ITASEC conference. It also helps coordinate the national cybersecurity research strategy.
Intervento Francesco Vestito a International Business Forum: le nuove frontiere dell'IT in Puglia" 7 - 8 novembre 2019 - Grand Hotel Masseria Santa Lucia di Ostuni. Francesco Vestito, Generale di Divisione Aerea - Comandante delle Forze da combattimento, già Comandante Interforze per le Operazioni Cibernetiche
Intervento di Crescenzo Antonio Marino, dirigente sezione Ricerca Innovazione e Capacità Istituzionale Regione Puglia, al Mediterranean Forum of Creativity and Social Innovation, Bari 15-16 ottobre 2019
Presentazione del Direttore Divisione IT InnovaPuglia 11 Luglio 2019 | 09:00 - 13:00
Il Cloud regionale: nuove opportunità per gli Enti Locali
Aula Consiliare Consiglio Regionale della Puglia, via Gentile, 52 Bari Puglia Digitale -
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
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.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
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
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
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
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3Data Hops
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
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.
2. Watson Data Platform Architecture - Overview
Common Processes
Common Data
Business
Analyst
BI
Developer
API
Data
Scientist
DS
Tools
Data &
Analytics
Processing
Protected
Data Access
(Governance)
Data
Sources StreamsPublicExternalAppsCloudOn Prem
Data
Engineer
DE
Data Flows, Models,
Machine Learning
Security, Governance,
Auditing, etc.
Productive use
experiences geared
to specific personas
Broad set of
connectivity
3. We are unleashing the power of data with Watson Data Platform
Data Engineering Data Science Business Analysis App Development
Data Sources
• On-premises / cloud
• Structured / unstructured
[and content repositories]
• In-motion / at-rest
• Internal / external
Hadoop
NoSQL / SQL
Object store
Discovery / Exploration
Machine learning
Model development
Reports / Dashboards
Applications
APIs
Integration
Matching / Quality
Streaming
Persist
Analyze
Ingest Deploy
Iterate
Govern
Data Assessment
Metadata / Policies
Find Share Collaborate
Data Fabric
common data, pipelines and projects
Composable data &
analytics cloud services
1
1
2 Tailored user
experiences for data
professionals
3 Foundational
elements that
provide a common
catalog, projects,
and community
capabilities across
the platform
3
3
2
4. We have the breadth of capabilities and offerings required
Fit for purpose
User Experiences
Ingest
Analyze
Persist
Data Connect for the Data Engineer
Data Science Experience for the Data Scientist
Watson Analytics for the Business Analyst
Bluemix for the Developer
Access and prepare data with Data Connect
Migrate data with Bluemix Lift
Capture data-in-motion with Streaming Analytics
Rapid, in-memory processing with Apache Spark
Continuous intelligence with Watson Machine Learning
Real-time analysis on data-in-motion with Streaming Analytics
Easily store JSON data with Cloudant
Optimize for analytic workloads and warehouse data with dashDB for Analytics
Optimize for online transactional processing workloads with dashDB for Transactions
Answer questions about complex networks of inter-related data with Graph
Choose from the best open-source databases with Compose
5. Watson Data Platform Fabric
A console to manage activities
and monitor usage
A catalog to store and unify
metadata across multiple
sources
A single orchestration pipeline
that brings together data from
distinct sources and flows that
data to multiple runtime engines
Common tools including
shapers and data visualization
capabilities
We are unifying Watson Data Platform through a new “Fabric”
Console Catalog Community Projects
Connectors Tools Orchestration …
Enable
team
collaboration
through
projects and a
community
Enable simple
access to
disparate data
sources
through
connectors
6. 6
Tailored Experiences for Users Collaborating Together
Architects how data is organized &
ensures operability
Gets deep into the data to draw
hidden insights for the business
Works with data to apply
insights to the business strategy
Plugs into data and models &
writes code to build apps
Inges
t
data
Transfor
m: clean
Create
and
build
model
Evaluat
e
Deliver
and
deploy
model
Communicate
results
Understand
problem and
domain
Explore and
understand
data
Transfor
m:
shape
OUTPUT
ANALYSIS
INPUT Data Engineer
Data Scientist
Business Analyst
App Developer
IBM Bluemix Data Connect
Data Science Experience
Watson Analytics
Bluemix
7. Data Science Experience
7
Built-in learning to
get started or go the
distance with
advanced tutorials
Learn
The best of open source
and IBM value-add to
create state-of-the-art data
products
Create
Community and social
features that provide
meaningful
collaboration
Collaborate
URL: http://datascience.ibm.com
8. Watson Machine Learning
• ML models are first-class entities in the WDP
asset Catalog
• Model Builder assistant simplifies data
preparation and offers an “Automatic Path” to
help with model selection
9. HOW TO CAPTURE VALUE IN THE
NEXT FIVE YEARS
1 Shift to a platform mindset
10. HOW TO CAPTURE VALUE IN THE
NEXT FIVE YEARS
1 Shift to a platform mindset
2 Meaning Making Owner
11. HOW TO CAPTURE VALUE IN THE
NEXT FIVE YEARS
1 Shift to a platform mindset
2 Meaning Making Owner
3 Embrace the Vision of change
Editor's Notes
WDP is made up of layers
Integrated experiences designed for the core personas
A common processing layer of data flows, models, machine learning and analytics – how we get to the insights
A foundation of common data which enables self-service access
The goal of the platform is to bring these pieces together. By itself DSx is a great tool for data science. Watson Analytics is a great tool for BI. But they don’t enable transformation until the work together across broader use cases.
The “Experiences” are product offerings that consist of a set of services and an interface tailored for each role. In addition to the tailored interface, collaboration really ties the team and the organization together by allowing them to share projects, code and ideas. Imagine a Data Engineer builds out a new data source and shares that asset with the Data Scientist and the Business Analyst. The Business Analyst immediately builds the reports and dashboards they need. The Data Scientist experiments with the data and ultimately builds a model that passes all the tests and is worth of promoting to new applications. They can immediately share that model with the Application Developer who deploys the new application using the model. Along this journey the team members are keeping each other updated on their status, asking questions, maybe sharing ideas or requirements. This is where Data and Analytics Development becomes a team sport. No longer does this need to be done in silos. Additionally, because these assets can now to published – other departments can re-use these assets, making the entire organization more agile.
When you look at refining data into a valuable business results, it will involve a number of roles, each with a specific purpose.
Data Engineer: Drive data integration, connections, and quality
Data Scientist: Find new trends and convert into models
Business Analyst: Perform general analysis and prepares visualizations
App (Application) Developer: Uses many data services and integrates models
The Business Analyst may get assistance from the emerging Data Scientist role who can do a more sophisticated analysis, find a root cause to a problem, and develop a solution based on an insight that he or she discovers. The Data Scientist role is a pretty broad spectrum of individuals, ranging from the traditional user of SPSS, SAS, etc. to the “new” Data Scientist that is manipulating large amounts of data using open sources tool and program languages (versus a GUI).
The Data Engineer is another critical role. They focus enable data integrations, connections (plumbing) and data quality. They do the underlying enablement that a data scientist and business analyst depend on.
The App Developer himself needs data services to store and manage the applications he is building. For example, the data scientists may develop a model or algorithm that then gets instantiated in a reactive application.
They all have similar requirements:
They want self-service; they often take the do-it-yourself approach which makes it challenging to collaborate and move the result to production. It also may result in them not having access to all data.
They often need and want access to many different tools and capabilities, many of which are open-source based.
They want and need to collaborate with each other. Getting all of these groups working together more easily can speed time to insight and results.