Very powerful multi cloud platform to prepare data for artificial intelligence.
IBM Cloud Pak for Data enabled our organization to shrink the time it took to validate a product idea from months to days by removing the …
Overview
What is IBM Cloud Pak for Data?
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
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What is IBM Cloud Pak for Data?
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
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- No setup fee
For the latest information on pricing, visithttps://www.ibm.com/products/cloud-pak…
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Managing Data with IBM Cloud Pak for Data
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Product Details
- About
- Competitors
- Tech Details
- Downloadables
- FAQs
What is IBM Cloud Pak for Data?
IBM Cloud Pak® for Data platform helps improve productivity and reduce complexity. It can be used to build a data fabric connecting siloed data distributed across a hybrid cloud landscape.
This product offers a wide selection of IBM and third-party services spanning the entire data lifecycle. Deployment options include on-premises software version built on the Red Hat® OpenShift® container platform, or a fully managed version built on the IBM Cloud®.
IBM Cloud Pak for Data Video
IBM Cloud Pak for Data Competitors
IBM Cloud Pak for Data Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
IBM Cloud Pak for Data Downloadables
Frequently Asked Questions
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.
Azure Databricks, Google Cloud AI, and Snowflake are common alternatives for IBM Cloud Pak for Data.
The most common users of IBM Cloud Pak for Data are from Enterprises (1,001+ employees).
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(29)Attribute Ratings
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March 21, 2023
Perfect for hybrid and multi-cloud environments.
IBM Cloud Pak for Data is driving business productivity by reducing the time spent reading and analyzing data, we always use this tool in all departments that need to gather relevant information in the cloud from a single centralized platform for better reporting of data, it is possible to analyze data from many sources in a short period of time. Data virtualization is very simple, migrations, readings, analysis, data management from other sources are performed without problems of requirements, we have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management .
- Robust data virtualization.
- Robust centralized data analytics.
- Improves data reliability.
- Compatible with hybrid and multi-cloud environments.
- Setting up hybrid and multi-cloud environments is a long job for my entire team.
- We have more reliable results in the company with the features of this cloud-based software.
- Configuration with hybrid and multicloud environments.
- Robust platform capable of working with multiple data sources.
- Automated data analysis.
- Better performance in analysis and data collection from multiple sources.
- Our productivity in the company is growing thanks to data analysis.
- Robust hybrid and multi-cloud access system.
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- Data security.
- Third-party integration.
- Data migration and data loading.
This cloud-based tool is excellent for visualizing and managing all data across networks, also fulfilling fuzzy data storage, making it less complex and completely improving productivity in the organization; so everything will be managed in multiple environments without any problem. That's why since IBM Cloud Pak for Data has been implemented everything is better organized and managed across all departments with no hassle.
- Artificial intelligence that solves everything automatically.
- We can store in many clouds all the desired data.
- we are much more productive.
- Excellent customer service system, willing to help always.
- There is no problem with this software, it offers us many services that have helped us to grow as a business and therefore economically we would implement it again.
- External data connection management.
- MLOps and AI.
- Distributed data processing.
- Simple data processing and no migrations.
- Advanced data privacy control performance.
- Access to disparate data sources.
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- Automation of tasks.
- Self-service data creation.
- Accelerate data delivery with information security strategy.