Business Intelligence, Big Data Management

Enhancing data mesh: How distributed ledger solutions empower decentralized governance

June 27, 2023

Enhancing data mesh: How distributed ledger solutions
Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

Spotlight

Codeminders/Tristero Consulting

Ideas are born everyday, and they die just as quickly. That’s because the single hardest part of any new idea is actually going out and doing it. But today, startups and enterprises are running leaner than ever. Talent, quality talent, is in short supply, and development teams have less and less experience working with each other. Weak talent produces weak products, and rookie teams, make rookie mistakes. That’s why we built Codeminders, to provide startups and enterprises with access to our veteran team of experts who working together to turn big ideas into reality. Since 2004, we’ve been partnering with entrepreneurs, startups, and enterprises across the US and EU, from two man teams up to global Fortune 10 companies, collaborating to ship amazing products into the world.

OTHER WHITEPAPERS
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Agility in Data Management

whitePaper | June 8, 2023

The importance of data in achieving successful business outcomes cannot be emphasized enough in this digital era. Businesses in recent times have embarked on digital transformation as they strive to keep existing customers happy while creating opportunities for new ones. It is worth noting that investments in data related concepts have soared, making data concepts such as data analytics, machine learning, interpretation of structured and unstructured data highly prevalent as these enable fast decision making for business agility.

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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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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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The Definitive Guide to Rubrik Cloud Data Management

whitePaper | August 25, 2022

Rubrik is the world’s first Cloud Data Management platform that delivers data protection, search, analytics, and copy data management to hybrid cloud enterprises.

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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 Analytics & Data Science Teams can leverage the Semantic Layer

whitePaper | June 3, 2022

Analyzing data has been a unique business activity for at least 5,000 years, and possibly as long ago as 20,000 years. We have come a long way in how we count, summarize, analyze, predict, and prescribe upcoming courses of action in science, business, and all fields of human endeavor. In the past 75 years, the progress in how we analyze data has increased exponentially. We now regularly build analytical models and complete applications that analyze massive amounts of data.

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Spotlight

Codeminders/Tristero Consulting

Ideas are born everyday, and they die just as quickly. That’s because the single hardest part of any new idea is actually going out and doing it. But today, startups and enterprises are running leaner than ever. Talent, quality talent, is in short supply, and development teams have less and less experience working with each other. Weak talent produces weak products, and rookie teams, make rookie mistakes. That’s why we built Codeminders, to provide startups and enterprises with access to our veteran team of experts who working together to turn big ideas into reality. Since 2004, we’ve been partnering with entrepreneurs, startups, and enterprises across the US and EU, from two man teams up to global Fortune 10 companies, collaborating to ship amazing products into the world.

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