Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. They eventually merged in 2012.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. You can also check the data science Bootcamp cost.

Programming Language 98

Programming Language Data Science Programming Scala 98

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Begin with a small sample of the data.

Hadoop 52

Hadoop Big Data Datasets Scala 52

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Spark also has support for streaming data using Spark Streaming. Spark is developed in Scala programming language. Though the majority of use cases of Spark uses HDFS as the underlying data file storage layer, it is not mandatory to use HDFS.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. You can also check the data science Bootcamp cost.

Programming Language 75

Programming Language Data Science Programming Scala 75

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute.

Scala 96

Scala Hadoop Datasets Java 96