Data Science Blog

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. They transform data into a consistent format for users to consume.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

Alation

JULY 7, 2022

Enterprises were collecting vast ecosystems of data, and began regarding them, for the first time, as worlds worthy of exploration. The data scientist. In 2012 Davenport and Patil declared the data scientist was “ The Sexiest Job of the 21st Century.” Who would uncover secrets from these unknown landscapes?

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

Flipboard

MARCH 21, 2025

To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines. Data analysts discover the data and subscribe to the data.

SQL 134

SQL Data Analyst Data Warehouse AWS 134