ProjectPro

JUNE 6, 2025

MongoDB-NoSQL Database of the Developers and for the Developers “Big Data” is revolutionizing the world and an SQL solution is very expensive to tackle the evolving business demands.With 80% of data being unstructured, data management requirements cannot be effectively met with expensive relational database management systems quickly.

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2025

Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

ProjectPro

AUGUST 26, 2015

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. In 2011, it took only 2 days to generate 1.8

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

APRIL 2, 2018

Using the company’s iWay DataMigrator, Information Builders customers can pull data into Jethro irrespective of where the data is stored. Then through the IB’s connector, users can index, build dynamic cubes and query for structured as well unstructured data resulting faster response time.

Hadoop 40

Hadoop Data Lake Relational Database BI 40

ProjectPro

MAY 13, 2015

MongoDB-NoSQL Database of the Developers and for the Developers “Big Data” is revolutionizing the world and an SQL solution is very expensive to tackle the evolving business demands.With 80% of data being unstructured, data management requirements cannot be effectively met with expensive relational database management systems quickly.

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2025

This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained. Fault tolerance along with high avaiability of the system.

Healthcare 45

Healthcare Big Data Hospitality Project 45

ProjectPro

MARCH 16, 2015

This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained. Fault tolerance along with high avaiability of the system.

Healthcare 40

Healthcare Big Data Hospitality Project 40