Learn more about India's data protection law—The Personal Data Protection Bill 2018—and how it can impact various organtizations and data governance in general.
We're excited to announce that SQL Query now allows you to specify the format and layout in which a result for a SQL query is written. By adding these abilities we're opening up serverless data transforming in IBM Cloud Object Storage.
Watson Knowledge Catalog is now available in the Tokyo data center, so customers with requirements to keep their data close to home can now take advantage of servers in Tokyo.
One key aspect of a robust architecture is that it is built to smoothly handle system failures, outages, and configuration changes without violating the data loss and consistency requirements of the use case. To proactively build such solutions needs an understanding of the possible exceptions and risky scenarios and preparedness to manage them efficiently.
Join us at Think 2019, Session #2397 - "Transformation to a Data-Driven Organization," to learn how IBM Cloud built a data platform enabling all team members to drive quality and growth. We will discuss technical and cultural challenges that we have faced and the strategies used to tackle them head on.
The IBM Streaming Analytics team is excited to announce additional plans for IBM Streaming Analytics in the United Kingdom and the deprecation of VM-based plans in the United Kingdom and United States.
In the previous post in this multi-part series on building messaging solutions, we quantified requirements related to various specific categories. In the second step of this process, we can now use the quantified requirements to build a preliminary design to evaluate the viability of the solution.
Automate weekly reporting to Slack the serverless way. We save time and resources using IBM Cloud to publish GitHub traffic statistics.
In view of these value-driven changes to IBM Analytics clusters, we encourage you to create new clusters, especially if you are still using clusters created before August 17, 2018, as these clusters do not include any of the latest updates. Before you delete your old clusters, you should back up your data, metadata, and any changes done on the clusters so that no data is lost.