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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- Premium Consulting/Integration Services
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Managing Data with IBM Cloud Pak for Data
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Product Details
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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 Mid-sized Companies (51-1,000 employees).
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Reviews
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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 bottleneck within our analytics team to meet the surging demand for big data analysis across the company. We use it to audit our various data sources, allowing us to identify where we have data quality issues and gaps so we can quickly address them so as not to impact the user experience.
- Accelerated ad hoc data exploration and analysis.
- Seamlessly connects data by consolidating the disparate sources.
- Supports AI-driven insights.
- The range of features and tools may require a learning curve.
- Reduced time to deploy production data pipeline from six months to three weeks.
- Four times more projects completed in the past quarter.
- Increased the amount of ad-hoc analysis done six-fold.
This service works seamlessly and allows for secured connections with various data sources. It's efficient for parallel/distributed data processing and advanced data model building. It is pre-configured and has a very highly optimized data environment, which speaks for itself and provides high performance.
December 01, 2022
All-in-one, Real-time Data analytics, phenomenal user experience, Top-notch AI hybrid cloud platform.
IBM Cloud Pak for Data is a powerful cloud-native AI all-in-one easy to use solution that enables us to put data to work quickly and effectively.
This tool also enables us to approach analytics our way, with code, low-code and no code options that allows us to collaborate on one platform. Easy to transform structured and unstructured data into analytics insights. Build and test models with best-in-class AI and analytics. The support team is generally the most proactive and supportive 24/7.
This tool also enables us to approach analytics our way, with code, low-code and no code options that allows us to collaborate on one platform. Easy to transform structured and unstructured data into analytics insights. Build and test models with best-in-class AI and analytics. The support team is generally the most proactive and supportive 24/7.
- Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
- Visualization and reporting.
- Rapidly provides business -ready data to all users equally.
- Manage data spread across distributed stores and clouds.
- Price is something that affects most the small business enterprises. There should affordable pricing plans for the small organization.
- It's takes some time to learn and grasp everything.
- End-to-end AI lifecycle.
- Data governance and privacy.
- Visualization and reporting.
- Saves lots of time by predicting outcomes faster using a platform built with data fabric architecture.
- Easy to collect, organize and analyze data no matter where it is.
- Manual catalog is eliminated to save costs.
- Drive responsible, transparent and explainable AI workflow to operationalize AI and mitigate risks and regulatory compliance.
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.