Dr. Michael Stonebraker's 10 fears about the future of the DBMS field Introduction The performance of Db2 depends on many things. It spreads from the application and the SQL, through the Db2 itself, down to the underlying system configuration. We can even expand it a bit more, I mean a...
Written by: Mateja Jankovič, IDUG EMEA 2018 Conference Chair The 2018 IDUG Db2 Tech Conference took place in St. Julians, Malta, November 4 – 8, where History & Present are combined . Malta is at the edge of Europe but it was often in the center of the history what reflects on...
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,...
Leveraging your Db2 Skills with Big Data Jim Wankowski, IBM The Challenge The idea of the traditional data center being centered on relational database technology is quickly evolving. Many new data sources exist today that did not exist as little as 5 years ago. Devices such...
Modern indexes for modern data The age of data is here, and though it actually started several decades ago, we can say that data is evolving, perhaps too quickly, and the need to understand it is increasing. There is a lot of research on new trends, new ways to store a table, new ways to...
Bring Intelligence to Where Critical Transactions Run – An Update from Machine Learning for z/OS Authors: Kewei Wei(魏可伟), Senior Technical Staff Member, Lead Architect of Machine Learning for z/OS, IBM China Development Lab; Guanjun Cai, Information architect and developer for IBM...
La era de los datos está aquí, y aunque tal vez haya empezado hace varias décadas, podemos decir que los datos están evolucionando y posiblemente muy rápido, y a su vez, la necesidad de entender estos datos es cada vez mayor. Existe mucha investigación sobre estas tendencias, nuevas maneras de...
I’d like to draw some parallels and highlight important differences between the architecture of the mainframe and the architecture of a data lake. Hopefully, this will help us understand where and how performance gains can be made in one environment versus the other. Mainframe Architecture...
Introduction A data lake provides data to an organization for a variety of analytics processing including discovery and exploration of data, simple ad hoc analytics, complex analysis for business decisions, traditional reporting as well as real-time predictive analytics. It is possible to...
It is estimated that a staggering 70% of the time spent on analytic projects is concerned with identifying, cleansing, and integrating data. To rectify this situation many organizations are considering a data lake solution. A data lake contains data from various sources. However, without...