by Henrik Loeser (data_henrik) | Nov 24, 2021 | big data, data in action, fun, ibmcloud, IT, scripting
Traffic for event streamsRecently, I worked with IBM Cloud Event Streams which is a message bus built with Apache Kafka. I was looking for a simple command-line tool to test my Event Streams instance and to stream access logs into it. That's when I ran into kcat...
by Craig S. Mullins | Nov 22, 2021 | big data, LOB, unstructured data
Let's take a look at the burgeoning role of "unstructured" data and the impact of using LOBs to store that data in our Db2 databases. The Growth of "Unstructured" Data Although structured data remains the bedrock of the information infrastructure in most...
by Henrik Loeser (data_henrik) | Nov 18, 2021 | administration, big data, data in action, fun, IBM, ibmcloud, IT, notebook, Python, tools
Building a data lake the serverless wayThis fall, I started another side project. It involves mobility data and its analysis and visualization. As first step and still ongoing, I am building up a data lake (and maybe integrating it into a data fabric). For that, I...
by Craig S. Mullins | Sep 8, 2020 | big data, partitioned table space, ROT, segmented table space, Universal table space, UTS
One of the biggest changes in the last decade or so has been the introduction of new types of table spaces – known as Universal table spaces, or UTS. Not only are UTS new to Db2, they are quickly becoming the de facto standard type of table space for Db2...
by Henrik Loeser (data_henrik) | May 18, 2020 | analytics, big data, cloud, data in action, database, DB2, IBM, IT, Life, sql
Learn to write SQLAll of us are impacted by COVID-19. Looking at daily case numbers, the basic reproduction number or mortality rates has become a routine. But what is behind those numbers? How are they computed and how does SQL help? In this post, I want to discuss...
by Henrik Loeser (data_henrik) | May 18, 2020 | analytics, big data, cloud, data in action, database, DB2, IBM, IT, Life, sql
Learn to write SQLAll of us are impacted by COVID-19. Looking at daily case numbers, the basic reproduction number or mortality rates has become a routine. But what is behind those numbers? How are they computed and how does SQL help? In this post, I want to discuss...
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