Towards Data Science

JANUARY 16, 2024

Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. Result: Hadoop & NoSQL frameworks emerged. New data formats emerged — JSON, Avro, Parquet, XML etc. Data lakes were introduced to store the new data formats.

Data Warehouse 64

Data Warehouse Data Architecture Relational Database NoSQL 64

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. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 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. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

MARCH 27, 2024

Some open-source technology for big data analytics are : Hadoop. 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. The Hadoop Distributed File System (HDFS) provides quick access. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 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. This remarkable efficiency is a game-changer compared to traditional batch processing engines like Hadoop , enabling real-time analytics and insights. What is Elasticsearch?

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. SQL, NoSQL, and Linux knowledge are required for database programming. While SQL is well-known, other notable ones include Hadoop and MongoDB. Data storage, management, and access skills are also required.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. billion in 2010 to $17 billion in 2015 with estimates that the Big Data Analytics services market is growing 6 times faster than the entire IT sector. during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52