Amazon EMR Migration Guide

June 12, 2019

Businesses worldwide are discovering the power of new big data processing and analytics frameworks like Apache Hadoop and Apache Spark, but they are also discovering some of the challenges of operating these technologies in on-premises data lake environments. Common problems include a lack of agility, excessive costs, and administrative headaches, as IT organizations wrestle with the effort of provisioning resources, handling uneven workloads at large scale, and keeping up with the pace of rapidly changing, community driven, open-source software innovation. Many big data initiatives suffer from the delay and burden of evaluating, selecting, purchasing, receiving, deploying, integrating, provisioning, patching, maintaining, upgrading, and supporting the underlying hardware and software infrastructure.

Spotlight

Anomali

Anomali® detects adversaries and tells you who they are. Organizations rely on the Anomali Threat Platform to detect threats, understand adversaries, and respond effectively. Anomali arms security teams with machine learning optimized threat intelligence and identifies hidden threats targeting their environments. The platform enables organizations to collaborate and share threat information among trusted communities and is the most widely adopted platform for ISACs and leading enterprises worldwide.

OTHER WHITEPAPERS
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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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White Paper on Privacy and Data Protection

whitePaper | March 30, 2022

Inching a step closer to framing a robust data protection regulation for India, the Joint Parliamentary Committee (“Committee”) submitted its report to the Parliament of India on the Personal Data Protection Bill 2019 (“2019 Bill”) on 16 December 20211 , after deliberatingfor almost two years. With that, the Committee also presented a revised bill, i.e., the Data Protection Bill 2021 (“2021 Bill”). Although presently there is no dedicated legislation in India addressing data privacy and data protection, on a sector-neutral basis, the Information Technology Act 2000 (“IT Act”) and the Information Technology (Reasonable security practices and procedures and sensitive personal data or information) Rules 2011 (“SPDI Rules”) regulate aspects of data privacy and protection in India today.

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Data Architecture Series - The unified data fabric

whitePaper | September 8, 2022

Enterprises today have to contend with exponentially increasing volumes of batch and streaming data, comprising a variety of structured, unstructured, and semi structured data types, and originating from an expanding number of disparate sources located on-premises, in the cloud and at the edge.

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How Data Maturity and Product Analytics Improve Digital Experiences and Business Outcomes

whitePaper | October 5, 2022

As we assess the global business environment in the latter half of 2022, perhaps the best single word that describes the state of play is uncertainty. Planning for uncertainties is a significant part of what we, as business executives and individuals, do on a daily basis. In times of uncertainty, brands realize they must work even harder to retain customers and deepen relationships by delivering value and empathy at scale. As we analyze our uncertainties, we can take comfort and guidance from management guru Peter Drucker, who wrote that “strategy aims to exploit the new and different opportunities of tomorrow” (Managing in Turbulent Times, 1980).

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Build Modern Data Streaming Analytics Architectures on AWS

whitePaper | December 1, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

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2022 EDUCAUSE Horizon Report® Data and Analytics Edition

whitePaper | September 16, 2022

With the 2022 data and analytics edition, we further expand our series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future—the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a methodology that grounds the findings in the perspectives and expertise of a panel of leaders in higher education data and analytics, in this report we summarize the panel’s input on the major trends shaping higher education, including panelists’ reflections on the implications of this research for the future of higher education for particular institutional roles.

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Spotlight

Anomali

Anomali® detects adversaries and tells you who they are. Organizations rely on the Anomali Threat Platform to detect threats, understand adversaries, and respond effectively. Anomali arms security teams with machine learning optimized threat intelligence and identifies hidden threats targeting their environments. The platform enables organizations to collaborate and share threat information among trusted communities and is the most widely adopted platform for ISACs and leading enterprises worldwide.

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