A typical data lake is modernized and made more accessible via the Cloudera Data Platform for IBM Cloud Pak for Data Performance. With this solution, you can develop a contemporary data lake that is cloud-optimized and gain access to the newest capabilities.
You can safeguard current investments and take advantage of security and performance enhancements with the Cloudera Data Platform on IBM Cloud Pak for Data Performance without having to change hardware, relocate data, rewrite apps, or retrain users. This product offers the newest advancements in technology as well as performance and security enhancements. By shifting workloads to a specialized computational layer, it optimizes the data lake for better performance, predictability, and system usage.
By allowing self-service SQL, BI, and data science across your data lake and giving the data to the value producers, you can unlock the power of your data lake. For genuine data portability, the Cloudera Data Platform for IBM Cloud Pak for Data Performance is built on open technologies and open data formats. You can execute workloads where you want when you want with its hybrid cloud support.
What is the Cloudera Data Platform?
When Cloudera bought Hortonworks in October 2018, they were making a very loud and clear statement that they wanted to dominate the Big Data market. Their newest product, Cloudera Data Platform (CDP), seeks to become the ultimate data solution for all data-driven companies. They already provided one of the greatest Big Data platforms on the market (CDH).
In order to stay ahead of the curve and be able to provide the best response in every situation, our team of Cloudera-certified consultants at ClearPeaks is delighted to be partners with Cloudera. CDP was only released on September 24th, but we were fortunate to get an early look at it when we attended the Cloudera Roadshow in Dubai just a few weeks ago.
The Cloudera Data Platform (CDP) is a data cloud designed with businesses in mind. Businesses may collect, enrich, analyze, experiment with, and predict their data using CDP to manage and secure the whole data lifecycle, leading to actionable insights and data-driven decision-making. Multi-stage analytic pipelines are necessary to process enterprise data sets in order to process the most beneficial and transformative business use cases. Businesses are given the tools they need by CDP to compete in the age of digital transformation by gaining value from large-scale, complicated, distributed, and constantly changing data.
What is the IBM Cloud Pak for Data Performance?
You can utilize your data fast and effectively with the help of IBM Cloud Pak for Data, a cloud-native solution. Your company has a lot of data. You must make use of your data to produce insightful discoveries that can aid in problem prevention and goal achievement.
But if you can’t access it or trust it, your data is useless. By allowing you to connect to your data, manage it, locate it, and use it for analysis, Cloud Pak for Data enables you to do both. Additionally, with Cloud Pak for Data, all of your data users may work together from a single, unified interface that supports a variety of services that are intended to complement one another.
By giving customers the option to look for already-existing data or request access to data, Cloud Pak for Data promotes productivity. Users can spend less time looking for data and more time using it successfully with the help of contemporary tools that enable analytics and reduce barriers to collaboration. Additionally, with Cloud Pak for Data, your IT department won’t have to set up numerous programs on various systems before attempting to connect them.
The comparison between Cloudera Data Platform and IBM Cloud Pak for Data Performance
Cloudera Data Platform for IBM Cloud Pak for Data Performance is based on IBM Cloud Pak for Data 4.0 and Cloudera Data Platform Private Cloud Base 7.1.6. When necessary, you may seamlessly switch between workloads using a single license, and you can scale computation and storage separately. You are entitled to 96 cores of the Cloudera Data Platform Private Cloud Base with IBM and 48 cores of the IBM Cloud Pak for Data Performance under this offering’s per-install metric.
1. Cloudera Data Platform Private Cloud
A cloud-native, self-service hybrid data platform of the next generation, Cloudera Data Platform Private Cloud provides the speed, scale, and economics of the cloud. In contrast to a conventional big data stack, Cloudera Data Platform Private Cloud offers the following advantages:
- Separating the computing layer from a highly scalable object storage
- An enterprise-wide data lake that is safe and well-governed
- Hybrid clouds are made possible by uniform management services across all clouds.
2. IBM Cloud Pak for Data Performance
An integrated data and AI platform, IBM Cloud Pak for Data 4.0, enables businesses to gather, arrange, and analyze data. IBM Cloud Pak for Data Performance, a data fabric that consists of architecture, a collection of data services, and support for multi-cloud settings, aids businesses in modernizing their operations and accelerating digital transformation. The following have been improved in IBM Cloud Pak for Data 4.0:
- Support for lifecycle management provided by Red Hat OpenShift Operator offers a strong DevOps lifecycle.
- IBM Watson OpenScale and Watson Studio should be more tightly integrated in order to provide a consistent user experience and a comprehensive AI lifecycle.
- Users of Watson Studio now have further access to graphical modeling and optimization tools.
- Enhancements to Federated Learning, including quorum management and early termination to offer fine-grained control. TensorFlow and PyTorch are two of the most recent machine
- Learning libraries that Federated Learning supports.
- Introducing the new tech preview feature, AutoAI Time Series. It enables users to automate the procedures of time series data analysis and forecasting, which are frequently observed in
- Various sectors.
- Enhanced Watson Knowledge Catalog capabilities, including the automated improvement of data discovery accuracy through the use of Knowledge Accelerators reference data sets.
- Without the requirement for data movement or replication, the AutoSQL universal query engine automates the access, updating, and unification of data from any source or kind (clouds, warehouses, lakes, and so on). It abstracts the complexity of many query engines to offer streamlined self-service data throughout an organization thanks to the intelligent performance
- Optimizations, petabyte-scale, and visual query-building experiences.
After defining the Cloudera Data Platform and IBM Cloud Pak for Data Performance, and the comparison between them, I am sure that we can have a deeper understanding of both platforms. Thank you for reading and see you later
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