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IDUG EMEA 2018 Wrap-up

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...

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The Data Tech Summit at the IDUG EMEA Db2 Tech Conference in Malta

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,...

Blog Entry
Leveraging your Db2 Skills with Big Data

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...

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Modern indexes for modern data

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...

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Bring Intelligence to Where Critical Transactions Run – An Update from Machine Learning for z/OS

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...

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Índices Modernos para Datos Modernos

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...

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From Mainframes to Data Lakes

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...

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Scenarios for IBM z Systems-centric Data Lake Implementations

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...

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5 Things to Know about Avoiding a Data Swamp with a Data Lake

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...

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