Business Intelligence, Big Data Management

Big Data Analytics and privacy & data protection

August 31, 2022

Big Data Analytics and privacy & data protection
The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

Spotlight

GridGain Systems

GridGain Systems offers the GridGain in-memory computing platform built on Apache Ignite which enables applications built on RDBMS, NoSQL or Hadoop databases to run up to 1,000,000x faster and scale to petabytes of data. GridGain is installed between the existing database and application layers with no rip-and-replace.

OTHER WHITEPAPERS
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Enhancing data mesh: How distributed ledger solutions empower decentralized governance

whitePaper | June 27, 2023

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.

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Data Strategy in Connected Business Models

whitePaper | November 25, 2022

In our contemporary environment, data and inherent data strategies constitute vital sources in pursuing and developing customer-centric business models while supporting collaboration between different organizations in creating customer value.

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The 2022 State of Data and What’s Next

whitePaper | February 24, 2022

Today’s business relies on access to critical data more than ever to remain ahead of the competition. Due to the challenges over the last two years, organizations must respond to greater demand for data access and a shift to supporting AI/ML in a complex, hybrid multi-cloud environment. Organizations need to become nimble in providing fast, reliable access to data anytime, anywhere, throughout their increasingly complex, integrated enterprise.

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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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Democratizing Data Analytics in Financial Services

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

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Self-Service Data Intelligence

whitePaper | September 20, 2022

Self-service is without question no longer an option for successful businesses. Find out how Alation can accelerate data-driven decisions with our Self-Service Data Intelligence white paper.

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Spotlight

GridGain Systems

GridGain Systems offers the GridGain in-memory computing platform built on Apache Ignite which enables applications built on RDBMS, NoSQL or Hadoop databases to run up to 1,000,000x faster and scale to petabytes of data. GridGain is installed between the existing database and application layers with no rip-and-replace.

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