Cloud Pak for Data – The Powerful, Unified Solutions Enterprises Need Today
Previously, it was the norm for several data-oriented tools, products, and offerings to be used to address different requirements. Even in the IBM portfolio, enterprises turned to Planning Analytics, Cognos Analytics, and Watson for specific purposes. In some enterprises, this created a situation where there were individual instances of these powerful tools running in the tech ecosystem. While the tools offer great value in themselves, the sense was always “What if we could get all this goodness together?”
That’s when IBM created a new all-around offering in the form of Cloud Pak for Data. This helped in integrating all of the pre-existing tools and products and added the power move of moving them to the cloud. As a result, enterprises could get a tightly integrated solution and would not need to set up any dedicated infrastructure for the same. IBM’s Cloud Pak for Data allows enterprises to put their data to work swiftly and productively. It’s a completely cloud-native solution meant to help enterprises manage
their data comprehensively.
What Makes Cloud Pak for Data so Important for Enterprises?
Cloud Pak for Data means serious business. It enables the enterprise to connect data, supervise it, manage it, search for it, and utilize it for analytical objectives. Enterprises can see their data users operate from a powerful and unified, interface that supports multiple services. Such services can come together to work in concert. With Cloud Pak for Data, enterprises won’t have to install separate applications for different kinds of systems and risk interlinking issues.
It brings to the table speed and productivity. Users can find data and get access to it easily. Users can easily make use of the advanced tools which are meant for analytics. It promises noteworthy cost savings and feature-oriented benefits for enterprises. Also, it paves the way for an advanced data architecture for powerful AI. Enterprises can conveniently deploy it on any public or private cloud. As a great feature, enterprises are also free to plug in other enterprise analytics solutions on the cloud framework and still achieve integration with the other powerful IBM tools. This further allows them to select the most suitable environment for their needs.
There are 3 different ways in which Cloud Pak for Data fosters cost savings –
- Reduction of costs concerning storage & transportation of data via Data Virtualization.
- Saving superfluous expenses by consolidating Data & AI features into a single collaborated platform.
- Decreasing maintenance & infrastructure costs using its ground-breaking cloud-native architecture.
Here are some of the many features that make it an invaluable offering for enterprises:
Keep it anywhere – Your Choice!
Cloud Pak for Data can run anywhere. It can be used on the Red Hat OpenShift cluster, no matter if it’s on the cloud or behind your firewall. This means it provides numerous cloud-native advantages like auto-provisioning & scaling, all-in-one updates, inbuilt high availability, common logging, and so on.
Deploying it on your cluster is possible if you have an OpenShift deployment on IBM Cloud, Google Cloud, AWS, or Microsoft Azure. If you want to deploy it behind a firewall, you can simply run Cloud Pak for Data on your premises on your private cluster. Putting your applications behind a firewall would be highly recommended to securely manage your data access if your data is already behind your firewall. Irrespective of where enterprises choose to deploy Cloud Pak for Data, it can connect to the data from anywhere.
AI-friendly Functionality
If an enterprise wants to rely on AI, It can be a powerful enabler. You can
climb the AI ladder using its flexibility and power. This is because it offers
a wide range of services useful for AI-oriented goals.
Data Collection
It has a Connections page with a list of connections. These can be utilized by many kinds of services. Some of these services are suitable for other data sources as well, to which you can easily connect.
Data Organization
It includes the Watson Knowledge Catalog service for efficient data organization using data classification & governance. With this service, you can develop an accurate and up-to-date information architecture that supports the scale of your data.
Data Analytics
Cloud Pak for Data comes with many services for data analytics. Your enterprise can obtain crisp and quality insights using the following –
Cognos Dashboards: These let you build stupendous dashboards for real-time data visualization.
SPSS Modeler: As a part of the premium service package, this helps in creating data structures for preparing & merging data, managing models, and viewing final data representations.
The Final Verdict
Cloud Pak for Data is a next-level enterprise enabler that allows the enterprise to:
– Embrace AI and achieve its inclusion in regular operations.
– Develop better and smarter applications.
– Set up machine learning models into production at a suitable scale.
Using Cloud Pak for Data, enterprises can attain a flow of trusted data. Such data can be reliably analyzed to get actionable insights. Cloud Pak for Data is among the most powerful solutions that enterprises need today. Its flexible facets let you choose the services you want to install, resulting in a judicious usage of enterprise resources. Enterprises can remodel their data landscapes, gain instant insights, and provide remarkable AI-friendly customer experiences.
Here’s what Cloud Pak for Data offers you:
– Cognos Dashboard
– Data Catalog
– Data Discovery
– Data Integration
– Data Virtualization
– Db2 Warehouse
– PostgreSQL
– Streams
– Watson Machine Learning
– Watson Studio
For all enterprises aspiring to be data-driven, Cloud Pak for Data should be a priority in their analytical needs and data ecosystem. We at Veracitiz, being a trusted IBM solutions partner, provide end-to-end Cloud Pak for Data services (Click Here). These include solution implementation, model optimization, support & maintenance, migration and upgrades, and many more. Get in touch with us today to know more!