Manda / Srinivasan / Rangarao IBM Cloud Pak for Data

An enterprise platform to operationalize data, analytics, and AI
1. Auflage 2021
ISBN: 978-1-80056-740-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 336 Seiten

No detailed description available for "IBM Cloud Pak for Data".

Autoren/Hrsg.

Manda, Hemanth

Srinivasan, Sriram

Rangarao, Deepak

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - The AI Ladder: IBM's Prescriptive Approach
- Cloud Pak for Data: A Brief Introduction
- Collect - Making Data Simple and Accessible
- Organize - Creating a Trusted Analytics Foundation
- Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency
- Multi-Cloud Strategy and Cloud Satellite
- IBM and Partner Extension Services
- Customer Use Cases
- Technical Overview, Management, and Administration
- Security and Compliance
- Storage
- Multi-Tenancy

Über Autor(innen)

Manda Hemanth:
Hemanth Manda heads product management at IBM and is responsible for the Cloud Pak for Data platform. He has broad experience in the technology and software industry spanning a number of strategy and execution roles over the past 20 years. In his current role, Hemanth leads a team of over 20 product managers responsible for simplifying and modernizing IBM's data and AI portfolio to support cloud-native architectures through the new platform offering that is Cloud Pak for Data. Among other things, he is responsible for rationalizing and streamlining the data and AI portfolio at IBM, a $6 billion-dollar business, and delivering new platform-wide capabilities through Cloud Pak for Data. Srinivasan Sriram:
Sriram Srinivasan is an IBM Distinguished Engineer leading the architecture and development of Cloud Pak for Data. His interests lie in cloud-native technologies such as Kubernetes and their practical application for both client-managed environments and Software as a Service. Prior to this role, Sriram led the development of IBM Data Science Experience Local and the dashDB Warehouse as a Service for IBM Cloud. Early on in his career at IBM, Sriram led the development of various web and Eclipse tooling platforms, such as IBM Data Server Manager and the SQL Warehousing tool. He started his career at Informix, where he worked on application servers, database tools, e-commerce products, and Red Brick data warehouse.Rangarao Deepak:
Deepak Rangarao leads WW Technical Sales at IBM and is responsible for the Cloud Pak for Data platform. He has broad cross-industry experience in the data warehousing and analytics space, building analytic applications at large organizations and technical presales, both with start-ups and large enterprise software vendors. Deepak has co-authored several books on topics such as OLAP analytics, change data capture, data warehousing, and object storage and is a regular speaker at technical conferences. He is a certified technical specialist in Red Hat OpenShift, Apache Spark, Microsoft SQL Server, and web development technologies.