Jesse Anderson

DECEMBER 12, 2022

Google looked over the expanse of the growing internet and realized they’d need scalable systems. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Spark came in 2009 and gave a unified batch and streaming engine. We lacked a scalable pub/sub system.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. It also supports multiple languages and has APIs for Java, Scala, Python, and R.

Scala 96

Scala Hadoop Datasets Java 96

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. Maybe there's an open-source project that interests you, or maybe a company in your area offers classes for aspiring data scientists. It came out in 2009 when Google introduced it to the world.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. Maybe there's an open-source project that interests you, or maybe a company in your area offers classes for aspiring data scientists. It came out in 2009 when Google introduced it to the world.

Programming Language 75

Programming Language Data Science Programming Scala 75

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Spark is developed in Scala programming language. Multiple Language Support: Spark provides support for multiple programming languages like Scala, Java, Python, R and also Spark SQL which is very similar to SQL. The demand has been ever increasing day by day.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

DECEMBER 27, 2023

Cross Platform Compatibility ensures Java can be used on various platforms (Operating Systems) without any compatibility issues. Java is popularly used for Web, Mobile, and Embedded Systems, which are in wide demand now. C is also in great demand for the programming of embedded systems. to work with assembly language.

Programming Language 52

Programming Language Programming Java Scala 52

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. Apache Spark is an open-source distributed system for big data workforces. Explore for Apache Spark Tutorial for more information.

Hadoop 52

Hadoop Big Data Datasets Scala 52