Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics. Kudu has this covered.

Analytics 83

Analytics Machine Learning Artificial Inteligence Telecommunications 83

O'Reilly Media - Ideas

JUNE 4, 2019

Better Business Writing , July 15. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 64

Course Training Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JUNE 5, 2019

Better Business Writing , July 15. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25.

Course 49

Course Training Artificial Inteligence Software Review 49

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

JANUARY 14, 2021

A data warehouse is defined as a centralized repository where a company stores all valuable data assets integrated from different channels like databases, flat files, applications, CRM systems, etc. A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW).

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

FEBRUARY 8, 2021

In other cases, you might discover that you have the data, but it has to be prepared and digitized (like paper documents or qualitative data from emails or social media). Data can be obtained from both inside your organization across different departments and outside it. Deployment type is another big decision to make.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable immediately, in an optimal manner. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse.

Data 90

Data Analytics Storage Big Data 90