There is a conflict going in the IT industry pitting Big Data against “legacy” data architectures. However, traditional architecture and technologies and newer Big Data approaches each offer advantages.

Find out what you need to know regarding structured, unstructured, and semi-structured data; hybrid integration and data engineering; and different analytical uses. Learn about the technologies to use for different projects, including relational, columnar, and in-memory. Topics include the must-have underlying foundational concepts for every project; high-level architectural design to pull it all together; the best and pragmatic practices to ensure success; how to avoid deadly data and integration silos; and how to prevent data swamps, data shadow systems, and spreadmarts.

To support a modern data architecture and approach to analytics, data integration strategies now support on-prem, cloud, and hybrid deployments. Meanwhile, streaming architectures featuring change data capture (CDC) technology are rapidly being embraced to process data in motion. This session discusses the new requirements and best practices to be successful in enabling a real-time enterprise, whether in a data lake, via streaming technology, or in the cloud.

There are game-changing technologies emerging in data management. But to win at the new world of Big Data, you have to know the changing rules.

The world of data management and administration is rapidly changing as organizations digitally transform. Mullins examines how database management systems are changing and adapting to modern IT needs. Understanding the trends occurring now and on the horizon is critical to being prepared for the rapidly changing data landscape. This presentation looks at cloud, analytics, NoSQL, IoT, in-memory, and DevOps and examines what is happening with DBAs and their roles within modern organizations. Mullins backs up the trends with references and links where appropriate.

It was hard enough to manage IT infrastructures when everything was on-premise only. But today, with combined on-premise deployments, SaaS, and hybrid cloud scenarios, there is uncertainty about the proper way to license software in these very complex environments.

Keeping software in compliance is a more significant challenge today than ever before. Sorting through all the FUD (fear, uncertainty, doubt) and getting straight answers from the vendors on the proper way to license software in this complicated world is nearly impossible. Making matters worse is the fact that many software vendors have turned to software license audits as an easy way to generate additional revenues. This session covers current software licensing trends, important lessons learned from the real world, and the steps every organization should take now to avoid becoming a victim of a software license audit whose real purpose is to generate revenue.

Data is flowing into organizations from a previously unimaginable array of sources and at unprecedented speed and volume. This means that the challenges of cleaning, deduplicating, and integrating data are increasing.

A cloud-native data platform may be the best way for organizations to cost-effectively deliver on the promise of better insights and more intelligent systems through data. Danil Zburivsky covers how a cloud integration approach can lead to better data governance and more accurate analysis and ensure consistency of data across systems, as well as the best practices for cloud data integration and how a cloud data platform breaks down data silos within the organization. The presentation also looks at how one client successfully took its global sales data to the cloud to uncover new opportunities.

From the perspective of an experienced engineering thought leader, Paul Wolmering, VP Worldwide Sales Engineering, Actian Corporation, will deliver a deep dive into Actian’s newly launched Gen III cloud data warehouse. Learn about key considerations for building a fully managed, multi-cloud data warehouse with federated query capabilities, that’s built for hybrid data. Understand key success factors for migrating to columnar analytics to gain actionable insights from an operational data warehouse. Learn what it takes to deliver insights from real-time data economically and at scale with hybrid data regardless of location, in the cloud, on-premises or both.

There are significant benefits offered by IoT, but also new threats and dangers. Do we really understand the challenges posed by all these connected “things”?

With the Internet of Things (IoT), essentially everything becomes a computer. This means that everything can be hacked—including cars, home appliances, medical devices, and more. This presentation provides examples of IoT hacks and the consequences of not getting security right as we move forward in the world of smart and connected machines.