Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

Education 62

Education Unstructured Data Data Lake Data Warehouse 62

Data Engineering Podcast

SEPTEMBER 23, 2018

Using the metaphor of a museum curator carefully managing the precious resources on display and in the vaults, he discusses the various layers of an enterprise data strategy. 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

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

The Modern Data Company

JANUARY 17, 2023

Leaders Can Easily Bring the CDP Under Federated Governance CDPs ingest data through both governed and ungoverned channels. 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. No more data swamps.

Metadata 59

Metadata Government Data Lake Data 59

Ascend.io

MAY 23, 2023

Already in 2016, IBM estimated the cost of bad data to be over three trillion dollars, and that was before the chaos of data lakes emerged and orphaned datasets began to swamp the land. This strategy minimizes clutter and storage space, but could lose some data that is no longer useful going forward.

Datasets 52

Datasets Data Pipeline Metadata Database 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

Rockset

AUGUST 26, 2022

For instance, joining two data tables showing hourly temperatures and humidity and how much feed the cows have consumed could allow farmers to improve feeding efficiencies and optimize milk production. When a change is detected, the data is ingested into a data lake hosted on Amazon S3.

IT 52

IT Food Data Lake Aggregated Data 52

AltexSoft

NOVEMBER 7, 2022

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. building your own applications based on the Airflow web interface functionality.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

AltexSoft

OCTOBER 8, 2021

They are applied to retrieve data from the source systems, perform transformations when necessary, and load it into a target system ( data mart , data warehouse, or data lake). So, why is data integration such a big deal? For this purpose, you will have to build a 360-degree customer picture.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52