Government lives on a sea of data. Navigating those waters has always been a challenge, a challenge that is getting more demanding by the day as the volume of data generated by agencies deepens and widens. The federal government’s Federal Data Strategy released two years ago was aimed at assisting agencies’ big data journey over the next 10 years. The last two years have forced agencies to adapt to growing data needs quickly and ef...

As technology continues to cement itself as the next step for government problem-solving, finding and sharing best practices across the public sector is proving key for agencies looking to implement innovative technology strategies. State and local agencies across the country are beginning to understand how technology, when used properly, becomes a powerful tool for delivering better service to citizens while saving resources. Join Red Hat and...

Most of today's data estates are in disarray, spread across organizational silos, big data systems, and out into the public cloud. As the edge has become the focal point of data creation and analytics, it is creating an exponential increase in data sprawl with volumes spread and trapped even further apart. All this adds to and compounds the tremendous costs to support, upgrade, and migrate to the latest tools and cloud-native techniques design...

New data sources and types of analytics are constantly arriving, meaning the work of creating a data platform that allows you to ingest, transform, model, and deliver data in a purpose-built form never ends.A challenge many organizations face is how to make better use of their data - whether to save money, bolster ROI, improve mission outcomes, or spark innovations. Organizations must exploit their data to enhance organizational functionality...

Registration is closed Join us at Microsoft Azure Virtual Training Day: Data Fundamentals to build your foundational knowledge of cloud data services in Azure. Explore relational and nonrelational data offerings, including key capabilities and provisioning. Also learn about big data and modern data warehouse analytics solutions in Azure. Who should attend: Database Engineer Database developers Business decision makers Technology decision maker...

Organizations must embrace the cloud to harness all their data and leverage AI. But many still have their data trapped in on-premises data lakes and data warehouses — in environments like Hadoop. Join us to learn how enterprises are unleashing the power of highly scalable big data with cloud-based alternatives like the Databricks Lakehouse Platform — a simple, open and collaborative platform for all your data, analytics and AI need...

Get more out of one of your organization’s most valuable assets—your data. Learn how to prepare your data for storage, processing, and analysis with an end-to-end analytics solution at Microsoft Azure Virtual Training Day: Deliver Integrated Analytics with Azure Synapse. You will learn how to: Create a data warehouse in the cloud and automate your data integration with pipelines. Accelerate your big data engineering with Spark. Per...

Join us at Microsoft Azure Virtual Training Day: Data Fundamentals to build your foundational knowledge of cloud data services in Azure. Explore relational and nonrelational data offerings, including key capabilities and provisioning. Also learn about big data and modern data warehouse analytics solutions in Azure. Who should attend: Database Engineer Database developers Business decision makers Technology decision makers Technical level: For...

No other industry has as much data and is as better placed to leverage AI as telecommunications. As devices, data usage, and 5G adoption increases, the network of the future demands providers to be more modular, agile, automated, personalized and insight generating. Join DataRobot and telecom partner Tech Mahindra, along with two of their featured customers Verizon and Maxis, in a panel discussion on how AI is transforming telecommunications...

Join us at Microsoft Azure Virtual Training Day: Data Fundamentals to build your foundational knowledge of cloud data services in Azure. Explore relational and nonrelational data offerings, including key capabilities and provisioning. Also learn about big data and modern data warehouse analytics solutions in Azure. Who should attend: Database Engineer Database developers Business decision makers Technology decision makers Technical level: For...