Data Engineering Podcast

JULY 3, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

JUNE 5, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Data Security 100

Data Security Metadata MongoDB Scala 100

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Furthermore, it is partitioned on the d_year column.

Metadata 90

Metadata Data Warehouse BI AWS 90

Monte Carlo

AUGUST 6, 2024

It often includes data marts (subsets of the data warehouse focused on specific business areas) and Online Analytical Processing cubes to support specific business functions. This layer is the primary interface for Business Intelligence tools that generate insights. Our promise: we will show you the product.

Data Warehouse 52

Data Warehouse Raw Data BI Machine Learning 52

Monte Carlo

MARCH 1, 2022

The release of Pycarlo immediately extends the impact and coverage of data observability for our customers, who can now easily aggregate metadata and update logic and monitors across tables in bulk. Downstream reporting beyond the business intelligence layer. Aggregating metadata. What does Pycarlo support?

Python 52

Python Metadata Business Intelligence Data Engineer 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

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Demo Video. All rights reserved.

Data Warehouse 81

Data Warehouse Database-centric Metadata Cloud 81

Monte Carlo

JANUARY 23, 2024

Given that Max and his team couldn’t take a customer’s entire database, or even just the metadata, and fit it in the context window, “We realized we needed to be really smart about RAG, which is retrieving the right information to generate the right SQL. It can show me how it built that chart, which dataset it used, and show me the metadata.”

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

AltexSoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator has the functionality that automatically analyzes metadata from various data stores, detects patterns, generates, and then applies data quality rules to identify any issues among actual values. Talend Open Studio.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

The Modern Data Company

JANUARY 22, 2024

This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

The Modern Data Company

JANUARY 22, 2024

This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Snowflake

MARCH 12, 2024

It also provides metadata on what assumptions and fixes were used to inform the address match. We’re shepherding in the rest of Mapbox services so they are fit for the use cases that our customers face, like business intelligence and data analysis.”

Business Analyst 100

Business Analyst Retail Business Intelligence Data Analysis 100

AltexSoft

MARCH 30, 2023

Unity catalog serves as a centralized metadata management and data governance layer for all Databricks data assets, including tables, files, dashboards, and machine learning models. Demo Hub accumulates short videos with high-level overviews of Databricks components — workflows, Delta Lake, Unity Catalog, etc.

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. Automated data lineage illustrates how a data freshness incident, for example, can cascade downstream to tables accessed by data warehouse and business intelligence (BI) users.

Data Warehouse 52

Data Warehouse BI Data Government 52