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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006. NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. Apache Hadoop.

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Google BigQuery: A Game-Changing Data Warehousing Solution

ProjectPro

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Google BigQuery Data Analysis Workflows BigQuery supports various data analytics procedures: 1) Ad Hoc Analysis BigQuery supports ad hoc analysis using Google Standard SQL, the SQL dialect it utilizes. Q: Is BigQuery SQL or NoSQL?

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Big Data Timeline- Series of Big Data Evolution

ProjectPro

1998 -An open source relational database was developed by Carlo Strozzi who named it as NoSQL. However, 10 years later, NoSQL databases gained momentum with the need to process large unstructured data sets. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

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AWS vs Azure-Who is the big winner in the cloud war?

ProjectPro

Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data. Azure also supports both NoSQL and relational databases and Big Data through Azure HDInsight and Azure table.

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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

“People You May Know” feature began with a huge Python script in 2006 and it started to drive immense growth on the platform since 2008. 70% of all Hadoop data deployments at LinkedIn employ key-value access using Voldemort. Most of LinkedIn’s data is offline and it moves pretty slowly.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

AWS vs. Google Cloud - Machine Learning AWS and GCP offer cutting-edge machine learning tools from their portfolio that help develop, train, and test a machine learning model. Launched in 2006. It also charges for computing minute-wise and is more strict to the pay-what-you-use model.

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Difference between Pig and Hive-The Two Key Components of Hadoop Ecosystem

ProjectPro

PIG Hadoop Pig Hadoop was developed by Yahoo in the year 2006 so that they can have an ad-hoc method for creating and executing MapReduce jobs on huge data sets. Hive Hadoop has gained popularity as it is supported by Hue. Hive Hadoop has various user groups such as CNET, Last.fm, Facebook, and Digg, and so on.

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