DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

DataKitchen

AUGUST 27, 2021

Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing. The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

JANUARY 13, 2021

UOB’s 12-week foundational learning and development programme — “Better U” —underscores its focus on ensuring digital proficiency and data analytics skills. Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

DataKitchen

NOVEMBER 29, 2021

If data analytics is like a factory, the DataOps Engineer owns the assembly line used to build a data and analytic product. Most organizations run the data factory using manual labor. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245