Building Definition ETL Tools Metadata 
Towards Data Science
MAY 7, 2024
A list to make evaluating ELT/ETL tools a bit less daunting Photo by Volodymyr Hryshchenko on Unsplash We’ve all been there: you’ve attended (many!) meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares.
Lyft Engineering
OCTOBER 3, 2023
Data quality is an amorphous term, with various definitions depending on the context. In Verity, we defined data quality as follows: Verity’s Definition of Data Quality The measure of how well data can be used as intended. Five aspects of data quality with the definition in italics and an example in quotes.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Towards Data Science
NOVEMBER 4, 2023
Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? ") Apache Airflow , for example, is not an ETL tool per se but it helps to organize our ETL pipelines into a nice visualization of dependency graphs (DAGs) to describe the relationships between tasks.
ProjectPro
OCTOBER 28, 2015
Apache Sqoop and Apache Flume are two popular open source etl tools for hadoop that help organizations overcome the challenges encountered in data ingestion. Table of Contents Hadoop ETL tools: Sqoop vs Flume-Comparison of the two Best Data Ingestion Tools What is Sqoop in Hadoop?
DataKitchen
FEBRUARY 2, 2023
Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.
Maxime Beauchemin
JANUARY 20, 2017
Unlike data scientists — and inspired by our more mature parent, software engineering — data engineers build tools, infrastructure, frameworks, and services. Let’s highlight the fact that the abstractions exposed by traditional ETL tools are off-target. They’re highly analytical, and are interested in data visualization.
Towards Data Science
JUNE 16, 2023
Identifying your business-critical dashboards Looker exposes metadata about content usage in pre-built Explores that you can enrich with your own data to make it more useful. How to keep your critical data model definitions updated Automate as much as possible around tagging your critical data models. critical, non-critical).
Expert insights. Personalized for you.
81 
Let's personalize your content