Christophe Blefari
JANUARY 20, 2024
formats — This is a huge part of data engineering. Picking the right format for your data storage. The main difference between both is the fact that your computation resides in your warehouse with SQL rather than outside with a programming language loading data in memory. workflows (Airflow, Prefect, Dagster, etc.)
Monte Carlo
MARCH 28, 2023
And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?
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Netflix Tech
OCTOBER 19, 2020
Stream Processing: to sample or not to sample trace data? This was the most important question we considered when building our infrastructure because data sampling policy dictates the amount of traces that are recorded, transported, and stored. Mantis is our go-to platform for processing operational data at Netflix.
Towards Data Science
APRIL 3, 2023
And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?
Snowflake
MAY 22, 2023
Data Ingestion Snowpipe auto-ingest expands to support cross-cloud and cross-platform ingestion – public preview With this release, we are making a few enhancements to Snowpipe auto-ingest to make ingestion easier with Snowflake. Visit our documentation page to learn more.
Knowledge Hut
SEPTEMBER 29, 2023
Data engineers serve as the architects, laying the foundation upon which data scientists construct their projects. They are responsible for the crucial tasks of gathering, transporting, storing, and configuring data infrastructure, which data scientists rely on for analysis and insights.
Silectis
JANUARY 3, 2021
Data Engineering Data engineering is a process by which data engineers make data useful. Data engineers design, build, and maintain data pipelines that transform data from a raw state to a useful one, ready for analysis or data science modeling. HDFS stands for Hadoop Distributed File System.
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