Data Engineering Podcast

JULY 3, 2022

She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures. Atlan is the metadata hub for your data ecosystem. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

JUNE 5, 2022

The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems. Atlan is the metadata hub for your data ecosystem. Data teams are increasingly under pressure to deliver.

Data Security 100

Data Security Metadata MongoDB Scala 100

ThoughtSpot

JANUARY 31, 2024

We’ll also be rolling out the BI industry’s most advanced human-in-the-loop feedback (HITL) capabilities that center human knowledge, business context, and security to build trust and accuracy across your organization. If you’re ready to spark your own Data Renaissance with ThoughtSpot , I invite you to request a demo.

BI 89

BI Business Intelligence Machine Learning Metadata 89

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

Snowflake

MARCH 12, 2024

It also provides metadata on what assumptions and fixes were used to inform the address match. With its Snowflake Native App, Mapbox can build all of these mapping, search and navigation functionalities and make them available to run in a customer’s environment. There’s so much we can do to bring this data to life.”

Business Analyst 97

Business Analyst Retail Business Intelligence Data Analysis 97

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

Monte Carlo

MARCH 1, 2022

Previously, Monte Carlo customers utilized APIs to build on top of our data observability platform. 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. Aggregating metadata.

Python 52

Python Metadata Business Intelligence Data Engineering 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Now, it’s going to be about leveling up to building the actual implementation of the unstructured data.” Those who don’t embrace it will be left behind. With the right prompt (this is key!),

Pipeline-centric 52

Pipeline-centric Database-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

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. Besides that, its native integration with MLflow , an open-source tool for building machine learning pipelines in production, backs MLOps initiatives.

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

AltexSoft

OCTOBER 8, 2021

Let’s imagine you run a subscription-based business and you want to predict which customers are more likely to churn. For this purpose, you will have to build a 360-degree customer picture. To make a more informed decision, enquire about demos and do your own in-depth research. So, why is data integration such a big deal?

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52