Snowflake

AUGUST 31, 2023

Catalog Integration: Our newly developed Catalog Integration feature allows you to seamlessly plug Snowflake into other Iceberg catalogs tracking table metadata. Since 2021, Snowflake has had External Tables for the purpose of read-only querying external data lakes.

Metadata 86

Metadata AWS Data Lake Datasets 86

Snowflake

MAY 21, 2024

As Snowflake operates on the tables and writes data, OneLake will automatically convert the Iceberg metadata to Delta Lake format, without rewriting the Parquet files, so that Fabric engines can query the same tables. Stay tuned for more announcements at Snowflake’s Data Cloud Summit on June 3–6 in San Francisco.

Metadata 123

Metadata Cloud Accessible Accessibility 123

Cloudera

MARCH 17, 2023

The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse. Some of the popular table formats are Apache Iceberg, Delta Lake, Hudi, and Hive ACID.

Education 64

Education Unstructured Data Data Lake Data Warehouse 64

Cloudera

FEBRUARY 8, 2024

The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Incremental and full rebuild of materialized view We will insert rows into the base table and examine how the materialized view can be updated to reflect the new data. Furthermore, it is partitioned on the d_year column.

Metadata 90

Metadata Data Warehouse BI AWS 90

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

Silectis

FEBRUARY 3, 2021

Below we’ll cover the basics of data lineage, why it is important, and how Magpie enables teams to trust their data with this important new release. What is Data Lineage? Data lineage refers to the entire lifecycle of a dataset from its sources of origin all the way to its current state.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

The Modern Data Company

APRIL 15, 2024

The term “Data Product” has become a buzzword, often misused or overstretched. But at its core, a Data Product is much more than just data. This blend ensures that a Data Product is informative, actionable, and adaptable to various needs.

Government 52

Government Metadata Data Data Management 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.

Metadata 59

Metadata Government Data Lake Data 59

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Expiring snapshots is a relatively cheap operation and uses metadata to determine newly unreachable files.

Bytes 59

Bytes Metadata Data Lake SQL 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

Cloudera

AUGUST 4, 2021

A top-notch system will include an easy-to-navigate data catalog that provides a single-pane view to administer and discover all data assets. The data is profiled and enhanced with rich metadata—including operational, social, and business context—creating trusted and reusable data assets and making them discoverable.

Data Governance 85

Data Governance Government Metadata Data Security 85

Rockset

AUGUST 26, 2022

When a change is detected, the data is ingested into a data lake hosted on Amazon S3. There, the data is converted, tagged with metadata, cleaned, and de-duplicated in preparation for queries. They demoed but quickly eliminated Snowflake.

IT 52

IT Food Aggregated Data Data Lake 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. The most common applications of the platform are. Airflow still doesn’t have it, though.

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? Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. Data loading.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Ascend.io

APRIL 7, 2023

Data fabric is a centralized platform architecture originating from a curated metadata layer that sits on top of an organization’s data infrastructure. Every time a new data source is added, the metadata layer is updated to define how and when that data should be used. Increasing speed.

Metadata 52

Metadata Datasets Data Governance Government 52

The Modern Data Company

MARCH 1, 2024

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

Database-centric 40

Database-centric Data Lake Government Retail 40

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 Machine Learning 64