For customers with special challenges regarding analytical data processing, for which going to the cloud is not an alternative (e.g. in the public sector, healthcare, security agencies), the Cloud Pak for Data System, together with the Netezza Performance Server, is the optimal decision.
Was ist IBM Cloud Pak für Data System?
Benefit from the advantages:
Optimal coordination with each other
Scalability & Performance
We are here for you.
Installation. Configuration. Operation. Expertise. Know-how
The experience of TIMETOACT consultants began even before the acquisition of Netezza (the technical predecessor of NPS) by IBM as direct employees. In numerous projects, we were able to prove our knowledge of IBM Cloud Pak for Data and Cloud Pak for Data System, including installation, configuration and operation of the appliance as well as the successful migration from Netezza to NPS. At the same time, we have gained extensive knowledge in successful projects with Cloud Pak for Data and look forward to applying this knowledge in new projects.
Building blocks of the Cloud Pak for Data System:
The following components are combined:
A chassis ...
with 4 high density servers each, 16 cores and 192 GB RAM
High-performance NVMe drives, 4 x 4 TB per server
Optimised network & acceleration through "Field Programmable Gate Arrays" (FPGA)
Management Switch
Fabric Switch
In the basic version, two chassis are installed; further performance can be acquired through additional chassis. In this case, two fabric and two management switches are automatically installed.
The above-mentioned components result in impressive performance data, starting with 128 core/1.5TB RAM/128TB disk already in the basic version, in eight steps up to 640 core/7.68TB RAM/640TB in the two-rack maximum expansion stage.
This technology thus eclipses the already considerable performance of the predecessor technology "Netezza" or "PureData for Analytics". The first migration projects resulted in performance advantages of a factor of 3 in queries and a factor of 2 in data management.
Feel free to contact me personally about IBM Cloud Pak for Data System!
Get in touch with us now!
Gerne beraten wir Sie in einem unverbindlichen Gespräch zum IBM Cloud Pak for Data System. Hinterlassen Sie einfach Ihre Kontaktdaten und wir melden uns dann schnellstmöglich bei Ihnen.
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IBM Cloud Pak for Data
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IBM Cloud Pak for Application
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IBM Cloud Pak for Automation
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IBM Netezza Performance Server
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Digital transformation in public administration
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IBM Db2
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IBM Watson Studio
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IBM SPSS Modeler
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Decision Optimization
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IBM InfoSphere Information Server
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Operationalization of Data Science (MLOps)
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IBM Cognos Analytics 11
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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Business Intelligence
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Proof-of-Value Workshop
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Conception of individual Analytics and Big Data solutions
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Demand Planning, Forecasting and Optimization
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Talend Data Fabric
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Data Governance
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Talend Data Integration
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Talend Real-Time Big Data Platform
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Data Integration, ETL and Data Virtualization
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Talend Application Integration / ESB
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Internal and external security
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Dashboards & Reports
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IBM Cloud Pak for Data – Test-Drive
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Data Science, Artificial Intelligence and Machine Learning
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IBM Cloud Pak for Data Accelerator
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vdek introduces new Data Warehouse solution
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Enterprise Architecture – Synchronising Business and IT
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Data Vault Modeling Approach
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Big Data, Data Lake & Data Warehousing
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FinOps Microsoft - Microsoft Cloud Cost Optimization
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Microsoft Azure Synapse Analytics
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Cloud from Atlassian
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FinOps
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IT Asset Management – Reducing Costs and Risks Sustainably
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FinOps Consulting
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Bamboo, Bitbucket, Sourcetree
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HCL Connections
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Talend migration in record time
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Interactive online portal identifies suitable employees
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Paths to the cloud for insurers
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Microsoft Azure
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AI & Digitization for the Transportation and Logistics Indus
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IBM Watson Discovery
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Data Insights
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On-site digitization partner for insurance companies
Jira Service Management from Atlassian
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Databases with Open Source
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IBM Watson Assistant
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Quality scoring with predictive analytics models
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Artificial Intelligence & Data Strategy
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Cloud platforms and automation technology
Confluence from Atlassian
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Cloud Infrastructure: Microsoft Azure Consulting
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Anwendungsmöglichkeiten
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Hybrid Cloud
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IBM Watson Knowledge Studio
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Microsoft Power BI
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Microsoft SQL Server
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Digitalization and cloud transformation
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Cloud native architecture
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Flexibility in the data evaluation of a theme park
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Enterprise Service Management
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Enterprise Application Integration
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TIMETOACT implements integrated insurance software
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Application Modernization
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CLOUDPILOTS with Google Cloud @ SCCON 2024
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CLOUDPILOTS @ Google Cloud Summit Germany
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Incident communication management
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Gemini at Work – AI Action in Zürich & Berlin
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Insurance
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AI & Data Science
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First Tuesday 04.02.2025
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Business Continuity
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Database technologies
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The digital customer file with IBM Content Manager
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Application Performance Monitoring Service
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HOCHBAHN Managed Services
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