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

MAY 2, 2024

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Also, there is no interactive mode available in MapReduce Spark has APIs in Scala, Java, Python, and R for all basic transformations and actions. It can also run on YARN or Mesos.

Hadoop 96

Hadoop Scala Datasets Java 96

Knowledge Hut

JANUARY 18, 2024

The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. Scala Scala has become one of the most popular languages for AI and data science use cases. It came out in 2009 when Google introduced it to the world.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. Scala Scala has become one of the most popular languages for AI and data science use cases. It came out in 2009 when Google introduced it to the world.

Programming Language 75

Programming Language Data Science Programming Java 75

Data Science Blog: Data Engineering

JULY 4, 2022

Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. Spark outperforms Hadoop in many ways, reaching performance levels that are nearly 100 times higher in some cases. 5 best practices of Apache Spark 1.

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 is developed in Scala programming language. 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. The demand has been ever increasing day by day.

Scala 52

Scala Hospitality Healthcare Machine Learning 52