CROWDSTRIKE THREAT GRAPH BREACH PREVENTION ENGINE

November 30, 2018

STOP ADVERSARIES WITH CLOUD ANALYTICS. Yesterday’s techniques for detecting and blocking threats at the endpoint are ineffective against today’s modern threats. Breaches can no longer be reliably prevented by monitoring and scanning files and looking for known bads. Security effectiveness is directly related to the quantity and quality of data you're able to collect and your ability to analyze it. Preventing breaches requires taking this data and applying the best tools, including AI, behavioral analytics and human threat hunters. It leverages this massive data to continuously predict where the next serious threat will appear, in time to act.

Spotlight

Semarchy

Semarchy, a leader in the data integration and master data management markets, enables organizations to rapidly generate business value from their data. Its unified platform enables organizations of any size, to quickly discover, govern, manage, integrate, and report critical information scattered across applications.

OTHER WHITEPAPERS
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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Data Management with Cloudera Data Platform on Dell Infrastructure

whitePaper | December 14, 2022

This white paper provides overview information for the Dell Technologies Validated Design for Data Management with Cloudera Data Platform (CDP) Private Cloud Base, for deployment on Dell PowerEdge servers, PowerSwitch networking, and PowerScale storage.

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Advanced Analytics for Decision Making

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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SaaS and The Evolution of Cloud-Based Data Management

whitePaper | December 21, 2022

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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Spotlight

Semarchy

Semarchy, a leader in the data integration and master data management markets, enables organizations to rapidly generate business value from their data. Its unified platform enables organizations of any size, to quickly discover, govern, manage, integrate, and report critical information scattered across applications.

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