Cloud

TDWI research finds that data democratization—empowering a broader spectrum of people with self-service data access, exploration, preparation, and analytics—is a top priority. Self-service business intelligence and analytics are central to transforming daily operational decisions as well as forecasting and higher-level strategies.Today, citizen data scientists are pushing beyond data consumption to perform more advanced data discovery and predictive analytics. Developers are upgrading business applications by embedding visualization and analytics capabilities. Artificial intelligence and...

Panel by Jacob Lynn, Data & Analytics Manager at Textron and Rex Washburn, Lead Architect & Head of Portfolio, Modern Data Platforms at CDW; and moderated by Inessa Gerber, Director of Product Management at Denodo.

Denodo Keynote by Paul Moxon, SVP Data Architectures & Chief Evangelist at Denodo.

Presentation by Philip Russom, Ph.D. Independent Industry Analyst for Data and Analytics (Formerly an analyst with Gartner, TDWI and Forrester).

As organizations try to keep up with new data types and become more advanced analytically, they must evolve and improve their data management practices.Numerous interrelated factors contribute to the current state of data management. Many organizations are trying to unify their data for analysis, which may include a logical or physical architecture. Some enterprises are using cloud data stacks to store and manage their data; others are using a data fabric to stitch data together across multiple environments. Some are hiring CDOs or implementing DataOps to handle complex data pipelines.Modern...

As organizations strive to keep up with increasingly complex data and enhance their analytical capabilities, they often need to transform their data management practices. TDWI has observed that many organizations are migrating to the cloud or already have hybrid models in place that involve both on-premises and cloud platforms. Some are utilizing cloud data stacks to manage and store their data, while others use a data fabric strategy to integrate data across multiple environments, both on premises and in the cloud.To better understand and manage their data, they are implementing data...

The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics. Each address specific needs of an organization, but which is the right solution to help you meet your business objectives?Join Denodo for a webinar featuring guest speaker, Forrester VP and Principal Analyst, Noel Yuhanna, to...

Join this workshop to achieve the set of skills necessary to efficiently use the Denodo Platform for building a Logical Data Fabric in a cloud environment. Attendees will gain first-hand experience with the end-to-end flow: connect, extract, transform, structure and publish specific targeted data using the Denodo Platform as well as visualize the data using a business intelligence tool.WHAT WILL YOU LEARN?This workshop will provide information on how Denodo Platform and the Data Catalog can be used to:Navigate through the data assets of an organization Identify those data assets that are...

So your company has decided to modernize its systems and migrate to the Cloud. Or, maybe, you're in the middle of this modernization and migration process right now. Taking advantage of the dynamic agility and flexibility of the Cloud offerings is certainly something to look forward to. But how do you ensure that your users can access the data that they need from the various Cloud and on-premise data sources - before, during, and after the migrations?The Cloud vendors will tell you that if you move your data to the Cloud, you won't need technologies like data virtualization. Is this true? Is...

The data landscape has become more complex with new use cases like IoT, Streaming and Edge analytics. To better manage enterprise data distributed across data lakes, data warehouses, and many other systems residing on-premises and in the cloud, enterprises are turning to various data management technologies like query accelerators, data virtualization, and data fabrics. Each address specific needs of an organization, but which is the right solution to help you meet your business objectives?Join Denodo for a webinar featuring guest speaker, Forrester VP and Principal Analyst, Noel Yuhanna, to...