Introducing Apache Druid

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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JUMO is a financial technology company that partners with banks, MNOs and other e-commerce players to deliver progressive financial choices to customers in emerging markets across Africa and Asia.

OTHER WHITEPAPERS
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An Introduction to Rubrik Sensitive Data Monitoring and Management

whitePaper | November 24, 2022

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.

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Delta Live Tables Value Proposition and Benefits

whitePaper | December 13, 2022

Modern Data Analytics Platforms (DAP) have gone through rapid architectural pattern changes over the past few years, independent of the use cases, to provide maximum benefits to the consumers.

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Enhancing Data Empowerment in Financial Services with Modern Cloud Analytics

whitePaper | November 30, 2022

Modern cloud analytics can help financial services organisations to gain greater insight into their ever-increasing volumes of data, enabling them to improve customer experience, boost productivity and generate new revenue streams.

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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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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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Do No Harm Guide Centering Accessibility in Data Visualization

whitePaper | December 29, 2022

Every day we are inundated with tables, graphs, charts, and maps explaining everything, including the unemployment rate, COVID-19 vaccination rates, baseball home run launch velocities, and our investment portfolios. When made well, data visualizations can help readers and users find insights and make discoveries. When made poorly, they obfuscate, mislead, or make it difficult for people to use them effectively.

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Spotlight

JUMO.WORLD

JUMO is a financial technology company that partners with banks, MNOs and other e-commerce players to deliver progressive financial choices to customers in emerging markets across Africa and Asia.

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