ProjectPro

MAY 2, 2016

News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. Source: [link] ) Dr. Elephant will now solve your Hadoop flow problems.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

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. It came out in 2009 when Google introduced it to the world. For this, programmers have to use coding skills like SQL and NoSQL. Go Go is a programming language data science which is also referred to as GoLang.

Programming Language 98

Programming Language Data Science Programming Java 98

ProjectPro

AUGUST 26, 2015

1998 -An open source relational database was developed by Carlo Strozzi who named it as NoSQL. However, 10 years later, NoSQL databases gained momentum with the need to process large unstructured data sets. Hadoop is an open source solution for storing and processing large unstructured data sets. zettabytes.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

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. It came out in 2009 when Google introduced it to the world. For this, programmers have to use coding skills like SQL and NoSQL. Go Go is a programming language data science which is also referred to as GoLang.

Programming Language 75

Programming Language Data Science Programming Java 75

Zalando Engineering

JUNE 6, 2016

They’re proficient in Hadoop-based technologies such as MongoDB, MapReduce, and Cassandra, while frequently working with NoSQL databases. Go , or Golang as it’s often referred to, is completely open source and was only released in November 2009, after successfully being implemented in some of Google’s production systems.

Big Data 40

Big Data Programming Language MongoDB NoSQL 40

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., Experience with using cloud services providing platforms like AWS/GCP/Azure. Good communication skills as a data engineer directly works with the different teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52