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 64

Data Warehouse Data Architecture Relational Database NoSQL 64

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 Database 42

Zalando Engineering

FEBRUARY 28, 2018

For the sake of comparison, let’s recap the Hadoop way of working: Hadoop saves intermediate states to disk and communicates over a network. The processes that run the computation and store data of your application are executors: Returns computed data to the driver. Provides in memory storage for cached RDD’s.

Data Analysis 40

Data Analysis Hadoop Datasets SQL 40

ProjectPro

JUNE 6, 2015

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. It replaced its traditional BI structure by integrating big data and Hadoop."-April So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 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