Christophe Blefari
MAY 18, 2023
Writing unit test for data science — Pragmatic guide about unit tests. Retro on data science by DJ Patil — DJ Patil has been US Chief Data Scientist. He coined the "data scientist" term back in 2008. He does a great retro. The eng - director gap problem.
phData: Data Engineering
NOVEMBER 8, 2024
Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?
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Monte Carlo
FEBRUARY 6, 2023
So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.
Cloudera
JANUARY 26, 2022
Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.
Cloudera
AUGUST 8, 2022
The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. 1 2008 7009728. import sys.
Cloudera
JANUARY 3, 2019
It’s clear today that the data warehouse industry is undergoing a major transformation. Each of these trends, of course, depends entirely on data. Our bet in 2008 has proven prescient. The new Cloudera has a distinct advantage in the market: We’re able to capture, store, manage and analyze data anywhere.
Knowledge Hut
JUNE 26, 2023
Given that the United States has had the highest inflation rate since 2008, this is a significant problem. The author utilised petabytes of website data from the Common Crawl in their effort. This is also another excellent example of putting together and showing a data engineering project, in my opinion.
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