O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.

Course 68

Course Training Artificial Inteligence Software Review 68

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. Scalable Data Science with Apache Hadoop and Spark , July 16. Effective Data Center Design Techniques: Data Center Topologies and Control Planes , July 19. First Steps in Data Analysis , July 22.

Course 50

Course Training Artificial Inteligence Software Review 50

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Fundamental principles to be successful with Cloud data management.

Cloud 109

Cloud Data Compliance Government 109

CIO

JUNE 14, 2023

Before you can even think about analyzing exabytes worth of data, ensure you have the infrastructure to store more than 1000 petabytes! This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Focus on scalability.

Data 162

Data Scalability Storage Big Data 162

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle. Augmented Intelligence.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

O'Reilly Media - Ideas

MARCH 1, 2023

Those numbers don’t foreshadow a revolution—as we said at the outset, very few companies are going to take infrastructure written in Java and rewrite it in Go or Rust just so they can be trend compliant. As we all know, a lot of infrastructure is written in COBOL, and that isn’t going anywhere. decline).

Trends 136

Trends Technical Review Technology Software Review 136

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. A Holistic Visual Exploration of Data.

Strategy 99

Strategy Data Technical Review Weak Development Team 99

Cloudera

MAY 22, 2018

End users, data stewards, governance groups, and security groups alike can easily get overwhelmed with multiple access points, inconsistent user interfaces, and overall complexity. To do anything new required submitting requests to the IT infrastructure and operations teams, and an endless wait for their response.

Enterprise 40

Enterprise Machine Learning Artificial Inteligence Analytics 40

BPM

JANUARY 18, 2019

They’ll have to invest in the last mile of their solution - business rules, organizational change, decision governance and infrastructure to let the business continually refine and improve the way these technologies are being applied. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 23, 2019

The government, fleet managers, automakers, and press can pass free of charge. Data Center Solution Annual Summit 2020. The annual event tracks activity in the development of the Data Center Industry. Discussions are usually held by experts from the IT and Real Estate Communities and CBRE’s Data Center.

Security 13

Security Artificial Inteligence Conference Data Center 13

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Architecture 127

Architecture Data Security Technical Review 127

Cloudera

JANUARY 11, 2021

LoB users who run these projects often lack expertise in security and governance requirements. They often don’t realize that infrastructure for BI must be scalable and shared with external partners who need to collaborate on projects. . How self-service data warehousing frees IT resources. Centralized security and governance.

Data 63

Data Pharmaceuticals Open Source Machine Learning 63

Cloudera

OCTOBER 13, 2021

On-premises, traditional data and analytics clusters are monolithic deployments of tight coupled compute and storage, unable to cope with current business demands of fast and agile use case deployment with services that are statically provisioned to physical infrastructure. Move to more Data Services.

Data Center 99

Data Center Cloud Data How To 99

Cloudera

MARCH 22, 2022

That technical debt includes silo-ed data warehousing appliances, homegrown tools for data processing, or point solutions used for dedicated workloads such as machine learning. To address that need, the data and analytics platform needs to provide pre-integrated, interoperable processing capabilities across the data lifecycle (e.g.,

Technical Review 83

Technical Review Strategy Data Analytics 83