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. Google Data Studio 10. Power BI 4.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Towards Data Science

JANUARY 16, 2024

Result: Companies started to sell pre-configured data warehouses as products. The concept of `Data Marts` was introduced. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. New data formats emerged — JSON, Avro, Parquet, XML etc.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

ProjectPro

JUNE 6, 2025

Scala could have been less talked about in data engineering but has recently gained importance in the data engineer community. Scala is a general-purpose programming language released in 2004 as an improvement over Java. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop.

Scala 40

Scala Data Engineer Data Engineering Engineering 40

Knowledge Hut

DECEMBER 26, 2023

Pipeline-centric Pipeline-centric data engineers work with Data Scientists to help use the collected data and mostly belong in midsize companies. Database-centric In bigger organizations, Data engineers mainly focus on data analytics since the data flow in such organizations is huge.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

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. I didn’t know it yet, but big data would be a big deal Google was my first position out of college.

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. I didn’t know it yet, but big data would be a big deal Google was my first position out of college.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Cloudera

DECEMBER 12, 2018

I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. Say, circa 2004 when I started at Oracle.

Data Warehouse 42

Data Warehouse Relational Database Hadoop BI 42