Knowledge Hut

JANUARY 18, 2024

However, data scientists need to know certain programming languages and must have a specific set of skills. Data science programming languages allow you to quickly extract value from your data and help you create models that let you make predictions. So, for data science which language is required.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

JANUARY 18, 2024

However, data scientists need to know certain programming languages and must have a specific set of skills. Data science programming languages allow you to quickly extract value from your data and help you create models that let you make predictions. So, for data science which language is required.

Programming Language 75

Programming Language Data Science Programming Java 75

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 Engineer 130

Data Engineer Data Engineering 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. Compatibility MapReduce is also compatible with all data sources and file formats Hadoop supports. It is not mandatory to use Hadoop for Spark, it can be used with S3 or Cassandra also.

Hadoop 96

Hadoop Scala Datasets Java 96

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

ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Computer Programming A decent understanding and experience of a computer programming language is necessary for data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Zalando Engineering

JUNE 6, 2016

They’re proficient in Hadoop-based technologies such as MongoDB, MapReduce, and Cassandra, while frequently working with NoSQL databases. Data Scientists need to know the ropes when it comes to statistical programming languages and are often R or Python fluent. A database querying language like SQL is also part of their arsenal.

Big Data 40

Big Data Programming Language MongoDB NoSQL 40