Data Analytics

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January 22, 2019

India’s Journey to Personal Data Protection and Data Privacy Law

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.

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December 18, 2018

SQL Query Releases Serverless Transformation and Partitioning of Data in Open Formats

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.

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January 22, 2019

Watson Knowledge Catalog is Now Available in the Tokyo Data Center

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.

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November 9, 2018

Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud: Part 3

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.

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November 1, 2018

Think Data-Driven Organization | Announcement

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.

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October 30, 2018

IBM Streaming Analytics: Announcements and Deprecations

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.

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October 24, 2018

Build Messaging Solutions with Apache Kafka or Event Streams for IBM Cloud: Part 2

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.

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October 24, 2018

Smart, Serverless, Slack: Automated Weekly Reports

Automate weekly reporting to Slack the serverless way. We save time and resources using IBM Cloud to publish GitHub traffic statistics.

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October 23, 2018

Leverage the Benefits of the Changes to IBM Analytics Engine Clusters

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.

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