The Benefits of Adopting the Agile Approach in IT and Big Data Projects

IT and big data projects can be complex and are often ambiguous by nature. In the case of big data…

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Apache Kafka & KSQL & TensorFlow for Data Scientists via Python & Jupyter Notebook

Why would a data scientist use Kafka Jupyter Python KSQL TensorFlow all together in a single notebook? There is an…

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Spark Microservices

As continuation of big data query system blog, i want to share more techniques for building Analytics engine. Take a problem…

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The Apache Ignite Native persistence, a brief overview

In-memory approaches can achieve blazing speed by putting the working set of the data into the system memory. When all…

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Handling the Extremes: Scaling and Streaming in Finance

Editor’s Note: At Strata+Hadoop World 2016 in New York, MapR Director of Enterprise Strategy & Architecture Jim Scott gave a presentation…

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Top 10 Big Data Trends in 2017 for Financial Services

In the past year, the big data pendulum for financial services has officially swung from passing fad or experiment to…

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Processing Image Documents on MapR at Scale

There has been a lot of research in document image processing over the past 20 years, but not much research…

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What Is the Future of Data Warehousing?

There is no denying it – we live in The Age of the Customer. Consumers all over the world are…

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How to Replicate Streaming Data Across Data Centers with MapR Streams

In this week’s Whiteboard Walkthrough Jorge Geronimo, Solutions Architect at MapR, explains how with a single line of code you…

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