Business Intelligence, Big Data Management, Data Visualization

An Introduction to Rubrik Sensitive Data Monitoring and Management

November 24, 2022

An Introduction to Rubrik Sensitive Data Monitoring and Management
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.

Spotlight

Skytree®

Skytree®The Machine Learning Company® is disrupting the Advanced Analytics market with our enterprise-grade Machine Learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Skytree’s mission is to bring the power of state-of-the-art machine learning to all data scientists, then ultimately to everyone, including data scientists, developers and non-experts alike.

OTHER WHITEPAPERS
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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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Building a data fabric for analytics with Tableau

whitePaper | September 6, 2022

Data is the heartbeat of the modern enterprise. Technology has progressed to the point that data-driven decision making is the norm and data literacy is often prized above all other skills.

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Big Data and AI for The Financial Sector: Challenges and Opportunities

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

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The Evolution of Data 3.0

whitePaper | October 17, 2022

Today, massive amounts of data are collected, processed, and stored for a range of analytical purposes around the world. Every customer, device, transaction, email, and image leaves a data trail. At present, this data is growing too big, changing too fast, and becoming hyper distributed. The traditional ways of doing integration and analytics are no longer viable or scalable. It is not feasible to create millions of data pipelines and to continue moving large amounts of raw data to a data lake or a centralized data warehouse.

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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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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Spotlight

Skytree®

Skytree®The Machine Learning Company® is disrupting the Advanced Analytics market with our enterprise-grade Machine Learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Skytree’s mission is to bring the power of state-of-the-art machine learning to all data scientists, then ultimately to everyone, including data scientists, developers and non-experts alike.

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