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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

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Top 10 Blockchain Companies in India for 2024

Knowledge Hut

Global banks use HashCash Products, exchanges, retailers, and other businesses for remittance, corporate payments, currency exchange, and payment processing. HashCash is a worldwide software firm that offers revolutionary Blockchain, AI, Big Data, and IoT solutions through its platforms, products, and services.

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Top 6 Hadoop Vendors providing Big Data Solutions in Open Data Platform

ProjectPro

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020. billion by 2020.

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Top 14 Big Data Analytics Tools in 2024

Knowledge Hut

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

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Hadoop- The Next Big Thing in India

ProjectPro

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.

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RocksDB Is Eating the Database World

Rockset

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

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Fundamentals of Apache Spark

Knowledge Hut

It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm.

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