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Fundamentals of Apache Spark

Knowledge Hut

Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Optionally, knowing any cloud technology like AWS. Hadoop and Spark can execute on common Resource Manager ( Ex. Basic knowledge of SQL. Yarn etc) Or, 2.

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Recap of Hadoop News for January 2018

ProjectPro

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0

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Industry Interview Series-How IoT leverages Hadoop?

ProjectPro

In view of the above we have launched Industry Interview Series – where every month we interview someone from the industry to speak on Big Data Hadoop use cases. Table of Contents How IoT leverages Hadoop? ” MobStac is a proximity marketing and analytics platform for beacons.

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Apache Spark Use Cases & Applications

Knowledge Hut

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment. Before diving deeper into technological aspects, let’s take a closer look at key AutoML use cases. AutoML use cases.

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Top 5 Big Data Startup Success Stories

ProjectPro

Big data is the fuel driving most of the data driven businesses today by accelerating growth, informing strategy and improving the operational efficiency. Wikibon predict that the big data technology market will grow by 22% reaching $33.31 TB of compressed data on daily basis. TB of compressed data on daily basis.