Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. It is developed in Java and built upon the highly reputable Apache Lucene library. What is Elasticsearch? Framework Programming The Good and the Bad of Node.js

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

NOVEMBER 7, 2023

Azure was first introduced in 2010, and it has shown to be a reliable solution for businesses trying to move digitally. Java, JavaScript, and Python are examples, as are upcoming languages like Go and Scala. SQL, NoSQL, and Linux knowledge are required for database programming.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

MARCH 27, 2024

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Let's check some big data analytics tools examples and software used in big data analytics. Features: Users can choose the language they wish to run in.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. AWS has the top-most share in the market, and that’s primarily because it was launched in 2002 while Microsoft and Google launched their cloud computing services in 2010 and 2009, respectively. High efficiency in advanced probability and statistics.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 25, 2023

So, we need to choose one backend framework from Java (Spring Framework), JavaScript (NodeJS), etc, and then also learn databases. Databases are divided into two categories, which are NoSQL(MongoDB) and SQL(PostgreSQL, MySQL, Oracle) databases. It all started with the release of AngularJS in 2010.

Java 98

Java Database Project PostgreSQL 98