Precisely

MAY 31, 2023

With the right enterprise-grade technology, organizations can find simple solutions to complex data integrity challenges at scale. The act of bringing data into hybrid cloud and VPC environments doesn’t solve data integrity challenges by itself. 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

MARCH 7, 2023

Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. Data that is properly classified, catalogued, and tagged is usually well-governed data.

Data Governance 52

Data Governance Government Metadata Datasets 52

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

The Modern Data Company

JANUARY 17, 2023

Companies Can Finally End Marketing Silos CDPs tend to be siloed in marketing departments — data comes through marketing channels, and there is very little connection with the company’s larger data ecosystem. CDP data remains cut off from data in other departments that could enrich the customer picture.

Metadata 59

Metadata Government Data Lake Data 59

Data Engineering Podcast

SEPTEMBER 23, 2018

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. 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

MAY 23, 2023

Orphaned datasets occur due to several reasons, such as changes in data relationships, ad-hoc archiving of deleted records, restarts from system failures and errors, or design flaws in data management strategies. 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 2, 2023

Data quality involves storing data in its correct and consistent form. Here’s a deep dive into data quality management and tools. Data availability is responsible for making data accessible to appropriate personnel within the system. Hybrid (federated) governance model. The DAMA DMBOK wheel.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

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. Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority.

Data Warehouse 52

Data Warehouse BI Data Government 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

Data Engineering Podcast

JANUARY 28, 2018

Your host is Tobias Macey and today I’m interviewing Danielle Robinson and Joe Hand about Dat Project, a distributed data sharing protocol for building applications of the future Interview Introduction How did you get involved in the area of data management? What is the Dat project and how did it get started?

Data 100

Data Project Electronics Data Management 100

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. Here, we’ll be comparing such vendors as.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52