Contact

On complexity in big data

Twitter Linkedin Rss
Blog Summary: (AI Summaries by Summarizes)
  • The author has written an in-depth piece on why Big Data isn't easy, cheap, or quick.
  • The piece was published on O'Reilly.
  • The author has years of experience teaching Big Data.

After years of teaching Big Data, I’ve come up with the best explanation of why it isn’t easy, cheap, or quick. I wrote the in-depth piece published on O’Reilly.

Related Posts

The Difference Between Learning and Doing

Blog Summary: (AI Summaries by Summarizes)There are several types of learning videos: hype, low effort, novice, and professional.It is important to avoid hype, low-effort, and

The Data Discovery Team

Blog Summary: (AI Summaries by Summarizes)The concept of a “data discovery team” is introduced, which focuses on searching for data in an enterprise data reality.Data

Black and white photo of three corporate people discussing with a view of the city's buildings

Current 2023 Announcements

Blog Summary: (AI Summaries by Summarizes)Confluent’s Current Conference featured several announcements that are important for both technologists and investors.Confluent has two existing moats (replication and

zoomed in line graph photo

Data Teams Survey 2023 Follow-Up

Blog Summary: (AI Summaries by Summarizes)Many companies, regardless of size, are using data mesh as a methodology.Smaller companies may not necessarily need a data mesh

Laptop on a table showing a graph of data

Data Teams Survey 2023 Results

Blog Summary: (AI Summaries by Summarizes)A survey was conducted between January 24, 2023, and February 28, 2023, to gather data for the book “Data Teams”

Black and white photo of three corporate people discussing with a view of the city's buildings

Analysis of Confluent Buying Immerok

Blog Summary: (AI Summaries by Summarizes)Confluent has announced the acquisition of Immerok, which represents a significant shift in strategy for Confluent.The future of primarily ksqlDB

Tall modern buildings with the view of the ocean's horizon

Brief History of Data Engineering

Blog Summary: (AI Summaries by Summarizes)Google created MapReduce and GFS in 2004 for scalable systems.Apache Hadoop was created in 2005 by Doug Cutting based on

JA Footer Icon
Twitter Linkedin Rss

© Jesse Anderson 2022

Join the Newsletter
Jesse Anderson signature