Remove Data Schemas Remove Data Warehouse Remove Definition Remove Metadata
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Implementing Data Contracts in the Data Warehouse

Monte Carlo

In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.

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Modern Data Engineering

Towards Data Science

Often it is a data warehouse solution (DWH) in the central part of our infrastructure. Data warehouse exmaple. What I like about it is that it makes it really easy to work with various data file formats, i.e. SQL, XML, XLS, CSV and JSON. """DAG definition for recommendation_bespoke model training."""

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses, etc., Glue uses ETL jobs for extracting data from various AWS cloud services and integrating it into data warehouses and lakes.

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Top Data Catalog Tools

Monte Carlo

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

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Hands-On Introduction to Delta Lake with (py)Spark

Towards Data Science

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. show() The history object is a Spark Data Frame. The Lakehouse architecture was one of them.

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Implementing the Netflix Media Database

Netflix Tech

A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

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11 Ways To Stop Data Anomalies Dead In Their Tracks

Monte Carlo

Otherwise you may produce more data anomalies than you prevent. Data Contracts Image courtesy of Andrew Jones. You can think of data contracts as circuit breakers, but for data schemas instead of the data itself. If you are conducting a post mortem, by definition the data anomaly has already occurred.

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