Remove Data Transformation Remove Data Warehouse Remove Snapshot Remove Software
article thumbnail

How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

Iceberg is a 100% open-table format, developed through the Apache Software Foundation , which helps users avoid vendor lock-in and implement an open lakehouse. . These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. Cloudera Machine Learning .

article thumbnail

Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

The following are some highlighted steps: Run a snapshot query. %%sql You also can use transactional data lake features such as running snapshot queries, incremental queries, time travel, and DML query. He is deeply passionate about applying ML/DL and big data techniques to solve real-world problems.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

IT 346
article thumbnail

How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. For users that require a unified view of software quality, this is unacceptable.

article thumbnail

Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 102
article thumbnail

Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

The answer depends on your specific business needs and the nature of the data you are working with. Both methods have advantages and disadvantages: Replication involves periodically copying data from a source system to a data warehouse or reporting database. Empower your team to add new data sources on the fly.