Tag: hadoop

Cloudera Engineering Blog

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“Best practices, how-tos, use cases, and internals from Cloudera Engineering and the community”, the blog is a deep dive into the functionality of the Cloudera products, covering a variety of topics in big data management and analysis and integrations with technologies such as Apache Spark, Hadoop, and Kafka.

Big Data Integration and Processing

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This course is 3 of 6 in the Coursera Big Data Specialization. From Coursera: “At the end of this course, you will be able to: Retrieve data from example database and big data management systems Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications. Identify when a big data problem needs data integration Execute simple big data integration and … Continue Reading

Introduction to Big Data

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This course is 1 of 6 in the Coursera Big Data Specialization. From Coursera: “Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is … Continue Reading

Hadoop: The Definitive Guide

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With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop.

The Data Incubator Bootcamp/Fellowship

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The Data Incubator is an intensive 7 week fellowship that prepares the best scientists and engineers with advanced degrees to work as data scientists and quants.

Strata + Hadoop World Conference

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Strata + Hadoop World is where cutting-edge science and new business fundamentals intersect—and merge. It’s a deep-immersion event where data scientists, analysts, and executives get up to speed…

Doing Data Science: Straight Talk from the Frontline

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How can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.