Remove Big Data Tools Remove Data Storage Remove Unstructured Data
article thumbnail

Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Master Nodes control and coordinate two key functions of Hadoop: data storage and parallel processing of data. Worker or Slave Nodes are the majority of nodes used to store data and run computations according to instructions from a master node. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.

article thumbnail

Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Hive , for instance, does not support sub-queries and unstructured data.

Hadoop 52
article thumbnail

Recap of Hadoop News for March

ProjectPro

Commvault’s new technology will be supporting various big data environments like Hadoop, Greenplum and GPFS. This new technology is a direct result of the need to enhance data storage, analysis and customer experience. Hadoop adoption and production still rules the big data space. March 22, 2016.Computing.co.uk

Hadoop 52
article thumbnail

Azure Data Engineer Resume

Edureka

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

article thumbnail

Top 10 Hadoop Tools to Learn in Big Data Career 2024

Knowledge Hut

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52
article thumbnail

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

article thumbnail

How to Become an Azure Data Engineer in 2023?

ProjectPro

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.