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

Data Products work similarly, offering pre-packaged, actionable data units tailored to specific business goals. We will delve into the world of Data Products, exploring their transformative potential for CDOs and data teams. Data Products simplify access and processing, empowering faster decision-making.

Database-centric 40

Database-centric Data Lake Government Retail 40

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Lake 52

Precisely

MAY 31, 2023

Users cannot find the data they need, gain access in a timely fashion, rely on data being in a useable format, or understand its impact on the business – meaning that it is unusable to them. The end result is that users can’t trust their data because it lacks integrity. In many cases, that means real-time availability.

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

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

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 Weekly

JULY 23, 2023

link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale. The author unpacks the federated design for data management in a phase-by-phase manner by adding more components as expanding.

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? It can let the user know about the quality and age of the data as well as any policies attached to it.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

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

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. Data profiling and cleansing. Source: G2.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52