DataKitchen

AUGUST 19, 2021

Below is a discussion of a data mesh implementation in the pharmaceutical space. For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. Some data sets are used by multiple teams, but that introduces complexity.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

DataKitchen

NOVEMBER 4, 2021

The requirement to integrate enormous quantities and varieties of data coupled with extreme pressure on analytics cycle time has driven the pharmaceutical industry to lead in DataOps adoption. Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Analyst-ready trusted data sets.

Process 98

Process Data Process Pharmaceutical Data Lake 98

DataKitchen

AUGUST 3, 2021

This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example. But first, let’s define the data mesh design pattern. Note, this is based on a post by Zhamak Dehghani of Thoughtworks. .

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Pharmaceutical 98

Pharmaceutical Pipeline-centric Data Lake Data Analytics 98

Grouparoo

DECEMBER 7, 2021

Also, where the data relates to living individuals within the European Union, the General Data Protection Regulations (GDPR) requires similar assurance, and non-compliance carries severe financial penalties and potential prosecution. Therefore, it’s critical to manage data integrity and protect against all credible threats.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Databand.ai

DECEMBER 13, 2022

We’d be remiss not to share that Joseph was a recent guest on Databand’s MAD Data Podcast , where he discussed ways to keep data systems from becoming unwieldy and shared tips for data teams to manage their data warehouses and keep data pipelines running reliably. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

SEPTEMBER 10, 2021

CDP-PC provides the same fine-grained access control as on-prem for data warehouse querying (Hive or Apache Impala ), search index lookups ( Apache Solr ), and applications built upon operational database tables ( Apache HBase ). Customer 1 – Centralized data authorization management.

Cloud Storage 83

Cloud Storage Accessible Accessibility Cloud 83