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Big Data Architect???s Handbook

Big Data Architect???s Handbook

By : Akhtar
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Big Data Architect???s Handbook

Big Data Architect???s Handbook

3 (2)
By: Akhtar

Overview of this book

The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action.
Table of Contents (21 chapters)
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10
Frontend Architecture
17
Data Visualization

Redis


Redis is an in-memory data structure store, released under open source BSD license. It is also referred to as Remote (Re) Dictionary (di) Server (s). It works on the principle of Key Value pair. Redis supports many different types of datasets such as lists, maps, sets, sorted sets, and so on.

It's in memory data that can also be made persisted on disk. It means that if, because of any reason, a Redis instance got rebooted, or if after recovering from a failure it comes back online, then it will restore all of its data from the disk and place it in memory as if nothing happened. This is what makes Redis utilized as a database.

It is super fast in performance because it runs in memory, due to which many people are using Redis for cache purpose in order to increase performance of their applications.

Redis has a publisher and subscriber module, which is also referred to as the Pub/Sub module. In this module, Publisher creates channels and the subscriber joins them. Now, whenever a publisher...

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Big Data Architect???s Handbook
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