ProjectPro

JUNE 6, 2025

This blog will help you determine which data analysis tool best fits your organization by exploring the top data analysis tools in the market with their key features, pros, and cons. The vast number of technologies available makes it challenging to start working in data analytics. Power BI 4. Google Data Studio 10.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Data is everywhere, and it is growing rapidly with each passing day. Consequently, organizations increasingly rely on data analysts to help them make informed decisions and gain a competitive edge. Key Data Analyst Skills Types of Data Analyst Certifications How to Choose the Right Data Analyst Certification?

Certification 40

Certification Data Mining Business Analyst BI 40

ProjectPro

JUNE 6, 2025

Businesses are estimated to have invested $215 billion in the last few years in building big data and business analytics solutions. This has led to a huge demand for big data analytics professionals across organizations worldwide. Data Integration and ETL Tools ETL is necessary for data modeling and vice versa.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. So in this piece, I’ll give my take on the evolution of the cloud data platform, starting way back from my days at Google.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Knowledge Hut

DECEMBER 26, 2023

What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Let us now understand the basic responsibilities of a Data engineer.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2015

How can business intelligence scale and analyse the growing data heap? Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. So what is BI? So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40