Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JULY 15, 2021

According to an Indeed Jobs report, the share of cloud computing jobs has increased by 42% per million from 2018 to 2021. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making. The global cloud computing market is poised to grow $287.03

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Monte Carlo

MAY 14, 2024

Let’s revisit how several of those key table formats have emerged and developed over time: Apache Avro : Developed as part of the Hadoop project and released in 2009, Apache Avro provides efficient data serialization with a schema-based structure.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Knowledge Hut

MAY 3, 2024

Traditional Frameworks of Big data like Apache Hadoop and all the tools within its ecosystem are Java-based, and hence using java opens up the possibility of utilizing a large ecosystem of tools in the big data world. JVM is a foundation of Hadoop ecosystem tools like Map Reduce, Storm, Spark, etc.

Scala 52

Scala Java Python Programming Language 52