Business Intelligence, Big Data Management

Business Benefits of Investing in Data Privacy Management Programs

January 20, 2023

Business Benefits of Investing in Data Privacy Management
Organizations increasingly recognize that accountability through the implementation of a data privacy management program (DPMP) is essential to operate effectively in the modern digital economy. For many years, the focus of organizations in implementing a DPMP has been mainly to achieve compliance with data protection requirements. Today, many organizations have undergone a shift in understanding and realize that a DPMP is as critical for risk management and compliance as it is for enabling data strategy, building customer trust, winning business, and attracting company investment.

Spotlight

Confluent

Confluent is a stream data platform powered by Apache Kafka and is founded by the team that built Kafka at LinkedIn. The founders went through the process of fully instrumenting everything that happens in a company and making it available as real-time Kafka feeds to all data systems like Hadoop, Search, Newsfeed and so on. At LinkedIn, this platform scaled to hundreds of billions of messages per day covering everything happening in the company. We open-sourced Kafka from it’s very early days, and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building a stream data platform to help other companies get easy access to enterprise data as real-time streams.

OTHER WHITEPAPERS
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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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Forecasting the future of genomic data management

whitePaper | May 15, 2023

Genomics is the study of the complete set of DNA in a person or other organism. DNA underpins a large proportion of an individual's health and disease status, therefore a genomic medicine approach is increasingly being applied in clinical settings. Genomic medicine is where the study of clinical outcomes (measurable changes in health and well-being) is combined with genomics so researchers can better understand how a person’s genome contributes to disease. Increasingly, advances in our understanding of the genome are contributing to improvements in disease diagnosis, drug discovery and targeted therapeutics.

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The Blueprint for a Data Governance Program

whitePaper | August 25, 2022

Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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Unlocking the Business Value of the Data Lake

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

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HPE Data Management Framework

whitePaper | December 8, 2022

HPE DMF v7 policies can be configured to migrate and store copies of both new and updated files in the capacity tier at specific intervals or after certain periods of file change inactivity. This effectively implements a high-quality, granular backup of a very large filesystem. DMF will automatically make backup copies of files and metadata on a rolling basis using policy definitions that can be tailored by administrators.

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Spotlight

Confluent

Confluent is a stream data platform powered by Apache Kafka and is founded by the team that built Kafka at LinkedIn. The founders went through the process of fully instrumenting everything that happens in a company and making it available as real-time Kafka feeds to all data systems like Hadoop, Search, Newsfeed and so on. At LinkedIn, this platform scaled to hundreds of billions of messages per day covering everything happening in the company. We open-sourced Kafka from it’s very early days, and have led it to impressive industry-wide adoption across several thousand companies. Now we are focusing on building a stream data platform to help other companies get easy access to enterprise data as real-time streams.

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