Christophe Blefari

MAY 18, 2023

Retro on data science by DJ Patil — DJ Patil has been US Chief Data Scientist. He coined the "data scientist" term back in 2008. Dashboards as code — Using code to make BI dev better, this is DataOps, we have almost X as code in the whole data chain, only dashboards lacks of it.

Data 130

Data BI Consulting Data Science 130

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. Time travel.

Data Warehouse 94

Data Warehouse BI Machine Learning SQL 94

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.

Data Warehouse 52

Data Warehouse AWS Data Data Validation 52

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.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

OCTOBER 4, 2022

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

MySQL Kafka Aggregated Data Architecture 52

ProjectPro

APRIL 27, 2016

The team at Facebook realized this roadblock which led to an open source innovation - Apache Hive in 2008 and since then it is extensively used by various Hadoop users for their data processing needs. Apache Hive helps analyse data more productively with enhanced query capabilities.

Hadoop 40

Hadoop Big Data Technology Kafka 40