Remove Data Transformation Remove Snapshot Remove Software
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 364
article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Your Chance: Want to test a professional logistics analytics software? Use our 14-days free trial today & transform your supply chain! Your Chance: Want to test a professional logistics analytics software? Use our 14-days free trial today & transform your supply chain! Now’s the time to strike.

Big Data 275
Insiders

Sign Up for our Newsletter

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

article thumbnail

Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

article thumbnail

End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

To tackle these asks, this post defines the development lifecycle for data integration and demonstrates how software engineers and data engineers can design an end-to-end development lifecycle using AWS Glue, including development, testing, and CI/CD, using a sample baseline template.

article thumbnail

How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). 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. . Now we have data as of the year 2006 also in the table.

article thumbnail

Migrate Amazon Redshift from DC2 to RA3 to accommodate increasing data volumes and analytics demands

AWS Big Data

We carried out the migration as follows: We created a new cluster with eight ra3.4xlarge nodes from the snapshot of our four-node dc2.8xlarge cluster. TB of data. We turned off our internal ETL and ELT orchestrator, to prevent our data from being updated during the migration period.

Data Lake 111
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 122