Data Analytics

Showing 1 - 10 of 35 pages tagged with: Data Analytics

Myth Busters: I Access My Data Through APIs–Data Virtualization Can't Do This (Australia)

When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.This is why we’re back with another Lunch & Learn where we bust this myth!We’re going to enter the world, or ecosystem, of APIs and API-based architectures to investigate whether data virtualization plays a role in it. Maybe we’ll even learn that it possibly can enhance API capabilities and...

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Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)

Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multi-purpose data lakes are the future of data analysis for a broad range of business users.Please attend this webinar to learn:The restrictions of physical single-purpose data lakesHow to build a logical multi-purpose data lake for business...

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ABSA Case Study: Data Virtualisation – The Game Changer (UK)

Join Heinrich Momberg, Head of Data Engineering for ABSA as he explores the ways Data Virtualisation is changing the game and accelerating ABSA’s data driven objectives. Facilitated by Kevin McKerr, Sales Leader for BITanium Consulting, this interactive whiteboard session is a must for anyone interested in learning how Data Virtualisation can solve multiple use-cases and make real impact in driving the agility and flexibility required of a modern data environment.ABSA is a South African-based financial services group, offering personal and business banking, credit cards, corporate and...

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Myth Busters IV: I Access My Data Through APIs–Data Virtualization Can't Do This

When you hear data virtualization, do you think BI and analytics? If so, you’re misinformed and missing out on a whole set of possibilities and capabilities of this technology. It is probably also why you think data virtualization is of no use to you if you need to access your data through APIs.This is why we’re back with another episode of Myth Busters!We enter the world, or ecosystem, of APIs and API-based architectures to investigate whether data virtualization plays a role in it. Maybe we’ll even learn that it possibly can enhance API capabilities and increase the benefits?Here’s what we’...

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Belgium & Luxembourg dedicated online Data Virtualization discovery workshop

Data virtualization has become an essential part of enterprise data architectures, bridging the gap between IT and business users and delivering significant cost and time savings. This technology revolutionizes the way data is accessed, delivered, consumed and governed regardless of its format and location.This discovery session will show help you identify the benefits of this modern and agile data integration and management technology for your organisation.Learn about:How to integrate and deliver your data quickly and easily using Denodo Platform 8.0How Denodo's Query Optimizer provides real...

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Discovery Session Belgium & Luxembourg: Dedicated Online Data Virtualization

Are you an IT Manager, an Architect, a Data Scientist, a Data Analyst or a CDO? Join this 1.5 hr online session to discover what data virtualization is all about, how it works, and the benefits for your organization. The program will include an introduction to data virtualization, the main use cases, European customer case studies (including Belgian case studies) and a step-by-step guided live demo of Denodo Platform features with our free cloud-based version, Denodo Test Drive. View the full agenda for more details!

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Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)

Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.In...

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Trustworthy Analytics and Machine Learning with Data Virtualization (EMEA)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. For these projects to be successful, data scientists, business analysts, and other personnel need access to data from across the enterprise. However, gaining access to all of the data in an integrated central repository has been a challenge, resulting in up to 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization enables many organizations today to gain data insights from multiple, distributed data sources...

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Denodo’s Data Catalog: Bridging the Gap between Data and Business

Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.In this session we will see:The role of a virtual...

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How Data Virtualization Puts Machine Learning into Production (APAC)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this session to learn how companies can use data virtualization to:Create a logical...

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