Migrating to Apache HBase on Amazon S3 on Amazon EMR

October 7, 2018

This whitepaper provides an overview of Apache HBase on Amazon S3 and guides data engineers and software developers in the migration of an on-premises or HDFS backed Apache HBase cluster to Apache HBase on Amazon S3. The whitepaper offers a migration plan that includes detailed steps for each stage of the migration, including data migration, performance tuning, and operational guidance.

Spotlight

Chef Software

Chef is the leader in Continuous Automation software, and one of the founders of the DevOps movement. Chef works with more than a thousand of the most innovative companies around the world to deliver their vision of digital transformation, providing the practices and platform to deliver software at speed. Chef Automate is Chef’s Continuous Automation Platform which is powered by an awesome community and open source software engines: Chef for infrastructure, Habitat for applications, and InSpec for compliance. For more visit http://www.chef.io

OTHER WHITEPAPERS
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Best practices – using Incorta to modernize your Oracle BI environment

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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4 Powerful Reasons Why Your Organization Benefits With Data Sharing

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”

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The Alignment Problem with "Sale of Data"

whitePaper | December 12, 2022

In August 2022, the California Office of the Attorney General announced a $1.2 million settlement with international cosmetic retailer Sephora for violations of the California Consumer Privacy Act. Following this announcement came a wave of questions about the regulator’s emphasis on the broad interpretation of the CCPA’s “sale of data” and adoption of the Global Privacy Control.

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atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

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An Introduction to Rubrik Sensitive Data Monitoring and Management

whitePaper | November 24, 2022

As businesses adopt the cloud, they grapple with massive data fragmentation, making it impossible to know where sensitive data resides. At the same time, the increasing risk of data privacy breaches and noncompliance with regulations impose serious financial penalties. Sensitive Data Monitoring and Management is a SaaS application, hosted by Rubrik Security Cloud, that discovers, classifies, and then reports on sensitive data without any impact to production.

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Spotlight

Chef Software

Chef is the leader in Continuous Automation software, and one of the founders of the DevOps movement. Chef works with more than a thousand of the most innovative companies around the world to deliver their vision of digital transformation, providing the practices and platform to deliver software at speed. Chef Automate is Chef’s Continuous Automation Platform which is powered by an awesome community and open source software engines: Chef for infrastructure, Habitat for applications, and InSpec for compliance. For more visit http://www.chef.io

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