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Data Warehouse Migration Best Practices

Monte Carlo

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.

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Brief History of Data Engineering

Jesse Anderson

Cloudera was started in 2008, and HortonWorks started in 2011. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Apache Pig in 2008 came too, but it didn’t ever see as much adoption. DJ Patil coined the term Data Scientist in 2008.

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Data Council 2023

Christophe Blefari

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.

Data 130
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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

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.

Cloud 85
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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

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.

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The New Cloudera

Cloudera

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.

Hadoop 74
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Comparing ClickHouse vs Rockset for Event and CDC Streams

Rockset

Change data capture (CDC) streams from OLTP databases, which may provide sales, demographic or inventory data, are another valuable source of data for real-time analytics use cases. Architecture ClickHouse was developed, beginning in 2008, to handle web analytics use cases at Yandex in Russia.

MySQL 52