Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Malloy's Near Term Roadmap — I've shared recently Malloy demo , which was awesome. but I missed it).

Programming Language 130

Programming Language SQL PostgreSQL Data 130

The Modern Data Company

MARCH 1, 2024

Instead of forcing all data through a centralized bottleneck, they break it down into modular, self-contained units. Each Data Product is designed for a specific purpose, equipped with the necessary data, transformations, and metadata. Data Products simplify access and processing, empowering faster decision-making.

Database-centric 40

Database-centric Data Lake Government Retail 40

Ascend.io

APRIL 7, 2023

Data mesh’s distributed nature helps data engineering teams become more agile , connecting data product building blocks that already exist to form other data products. In other words, the product one person builds might have inputs from another product. They can build on each other’s work.

Metadata 52

Metadata Datasets Data Governance Government 52

Precisely

MAY 31, 2023

According to research performed at Drexel University’s LeBow College of Business, 76% of data practitioners are trying to improve their data-driven decision-making, and more than half don’t feel that they can fully trust their data. The end result is that users can’t trust their data because it lacks integrity.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

The Modern Data Company

JANUARY 17, 2023

These include internal data lakes, apps (1st or 3rd party), web SDK, internal or 3rd-party databases, and even spreadsheets generated within the marketing department. Without lineage or governance metadata, the quality of this data is anyone’s guess. New data is added to the catalog automatically upon ingestion.

Metadata 59

Metadata Government Data Lake Data 59

Data Engineering Podcast

SEPTEMBER 23, 2018

He also explains which layers are useful for the different members of the business, and which pitfalls to look out for along the path to a mature and flexible data platform. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Data Engineering Weekly

JULY 23, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Find the right, trusted data by simply asking a question. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

phData: Data Engineering

DECEMBER 16, 2021

As a result, it is important to know what is happening to your data. Is your data just being scanned, or is it being moved? Where is your metadata stored? How easy is it to offboard your data if you choose another tool? This feature will help build lineage and will let you see any current usage patterns.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

AltexSoft

MARCH 30, 2023

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools.

Scala 64

Scala Data Lake BI Google Cloud 64

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich.

Data Warehouse 52

Data Warehouse BI Data Government 52

AltexSoft

OCTOBER 8, 2021

So, why is data integration such a big deal? For this purpose, you will have to build a 360-degree customer picture. But here’s the thing, even though you receive all customer data you need, it exists in a bunch of disjointed sources such as CRMs, customer-facing apps, websites, and others. Data profiling and cleansing.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52