DataKitchen

DECEMBER 7, 2021

In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed data mesh is a better choice. the data scientist, the engineer, and the operations engineer).

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Cloudera

MAY 19, 2021

RAPIDS on the Cloudera Data Platform comes pre-configured with all the necessary libraries and dependencies to bring the power of RAPIDS to your projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. Data Ingestion.

Machine Learning 138

Machine Learning Data Science Data Lake Modeling 138

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. In some cases, DataOps has helped us save hours, weeks and even months of work. .

Testing 152

Testing Metadata Dashboards Statistics 152

Cloudera

JUNE 4, 2018

Unstructured content lacks a predefined data model; it must first undergo text extraction, classification, and enrichment to provide intelligence. the client needed an approach to: Simplify data hub ingestion, especially for large volumes of unstructured content. How can they tackle this challenge? compliance reporting.

Unstructured Data 46

Unstructured Data Metadata Big Data Enterprise 46

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. It really does. Fusion teams.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Birst BI

OCTOBER 24, 2019

To put it simply, by setting up DaaS, Birst offers a better way to democratize data without sacrificing security, governance, and control. Click here to register for November 12 webinar, where a CIO explains how flexible and secure DaaS is delivered today with Birst.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Alation

FEBRUARY 17, 2023

For this reason, your data program will benefit from bringing data governance and data management together. Our organization is struggling with the guardrails between the data governance and management concepts. What frameworks and operating models have you seen work well? Where do you govern?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Cloudera

NOVEMBER 27, 2023

Many architects and team leaders expressed to us a desire to democratize stream processing to larger user bases, especially SQL analysts and/or a desire to move from manual configuration and maintenance of Flink environments to more of a PaaS model to maintain performance while freeing up development resources. Takeaway No.

Data Lake 84

Data Lake Advertising ROI Data Warehouse 84

Jet Global

APRIL 26, 2022

Finance teams using D365 F&SCM have expressed a strong desire for easy, seamless integration between Microsoft Excel and D365 F&SCM that goes beyond simple pivot tables and into full featured complete reporting capabilities with built-in content and data models. Easy, Excel-Based Reporting Built for Microsoft D365 F&SCM.

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52

Jet Global

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52