Scott Logic

MARCH 25, 2024

We were particularly interested in how easy they were for novice BI users (like ourselves) to get to grips with. In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. Users will typically access the platform via the desktop application Power BI Desktop.

BI 52

BI Business Intelligence Cloud AWS 52

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. Apart from data analysis, it can also help in machine learning projects.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

MAY 3, 2024

Tableau has been recognized as the leading BI and data visualization tool by Forbes, Fortune, and Gartner. Tableau was founded in 2003 by Christian Chabot and Chris Stolte. For a business, big or small, data analysis is one of the crucial aspects contributing to taking things to the next level.

Certification 52

Certification Business Intelligence Amazon Web Services BI 52

AltexSoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

AUGUST 26, 2015

2008 -Google processed 20 petabytes of data in a single day. 2009 - According to a Gartner report, Business Intelligence (BI) became a top priority for the Chief Information Officers in 2009. 2009 - A McKinsey report estimated that, on an average-a US company with 1000 employees stores more than 200 TB of data. zettabytes.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40