DataKitchen

AUGUST 9, 2021

We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Let’s take a look at some technical aspects of data mesh so we can work our way towards a pharmaceutical industry application example. .

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Grouparoo

DECEMBER 7, 2021

If inadequate quality data enters a process, then any integrity change will not affect the quality of the data, just its correctness. Ensuring good data quality is a separate topic from maintaining good data integrity. Why is Data Integrity Important? Data integrity is one of the triads of data security.

Data Integration 52

Data Integration Manufacturing ETL Tools Transportation 52

Databand.ai

DECEMBER 13, 2022

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

SEPTEMBER 10, 2021

This service enables data owners to audit and control access to files and directories in cloud storage using Apache Ranger as a centralized repository for data security policies. Customer 1 – Centralized data authorization management.

Cloud Storage 83

Cloud Storage Accessible Accessibility Cloud 83

AltexSoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Enhanced data security and governance.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. Multi-level data security Databricks was designed with security in mind.

Scala 64

Scala Data Lake BI Google Cloud 64