Author: Eberhard Hechler
The IDUG Db2 Tech Conference is not only about Db2 anymore. In the past, the scope was limited to pure Db2-related in-depth functions and features for DBAs and application programmers, such as tips and tricks on Db2 performance optimization, understanding Db2 logging, best practices regarding installation/configuration or migration details, or special SQL and query tuning tricks. Today, IDUG offers a broader perspective, addressing additional topics, such as data science and machine learning, analytics on Z, the Hadoop ecosystem with its NoSQL approach to database management and thousands of open source components, implementing modern use case for instance related to the mobile web environment, data streaming and more.
The emphasis here is mainly to detail out the relevance of these areas to Db2 and related offerings: how do these topics relate to Db2, how can open source be integrated with Db2, what is the role of Db2 in modern use cases, what is the role of IBM Z and Db2 for z/OS for data science related use case. This doesn’t mean that Db2 became less relevant or that ‘traditional’ Db2 topics are less important. Quite contrary: Db2 has found its place in modern use case scenarios, regardless whether they are transactional, analytical, or even hybrid in nature.
This shift in the scope of IDUG is nowhere better visible than at the Data Tech Summit. This year’s summit in Malta offers you a variety of great topics. The following list is just a subset:
- Data science and machine learning topics on all platforms, including the distributed platform and IBM Z, with concrete ML examples.
- Details on Db2Artificial Intelligence (AI). With this new intelligence fed into the Db2 Optimizer, Db2 can more reliably identify the optimal access path for SQL queries.
- A technical deep-dive on the new Db2 Analytics Accelerator V7.1.3 with a comparison of the different deployment option on the Integrated Analytics System and IBM Z.
- IoT workload requirements, GDPR compliance aspects, IBM Queryplex, IBM Watson Data Platform, and streaming of Z data to Big Data platforms.
- A perspective on NoSQL and NewSQL, differences between ACID and the CAP theorem (consistency, availability, partition-tolerance) and BASE (basically available, soft state, eventually consistent), and its relevance and opportunities for DBAs.
Leave your comfort zone, and join us in some of these sessions to broaden your perspective and to get inspired on some of the hottest areas in the industry.
Eberhard is an Executive Architect working at the IBM Germany R&D Lab. He is a member of IBM Db2 Analytics Accelerator development, focusing on the Z Analytics portfolio including Machine Learning and Open Source integration.