ibm cloud pak for data virtualization

In the IBM Cloud Pak for Data, there is a tool called Data Virtualization that allows you to connect multiple data sources into one unified view without moving or copying data.


So data is everywhere. Today, companies are collecting data from increasingly diverse sources and a rapidly increasing number, so the data has become more varied. The complexity, cost, time, and risk of error in collecting that data center are also growing.


Moving and copying data is costly and time-consuming in order to address these developments IMB has created a tool known as data virtualization which is available through Cloud Pak for Data.


ibm cloud pak for data virtualization



What is data virtualization?


So what is virtual data? Basically, it is the ability to view, access, and analyze data without the need to transfer or copy it.


Data virtualization automates the process of combining these virtual data sources and merging them into one unified purpose, so by using data virtualization you can get rid of data silos and query many systems as one.


With data virtualization, you can connect to multiple data sources, whether they are platform repositories, relational databases, big data, spreadsheets, and NoSQL databases. It is referred to as the constellation.


IBM Data Virtualization and a peer-to-peer computing network architecture is a major advantage over the traditional federation architecture Using advances from IBM Research, the data virtualization engine is able to quickly render query results from multiple data sources by taking advantage of advanced parallelization and optimizations.


Broad Support for Data Sources


In data virtualization, there is broad support for many different data sources this list is still growing :


  • Db2
  • Db2 Event Store 
  • DB2 Big SQL
  • SQL Server
  • Informix
  • Oracle
  • Netezza
  • MySQL
  • Postgres SQL
  • Big SQL
  • Derby
  • MongoDB
  • HDP Hive
  • Apache Hive
  • Cloudera Impala
  • MariaDB
  • Excel, CSV, text


Benefits of Data Virtualization


So the benefits of data virtualization are great. It is extremely secure because it has fully encrypted communications and strict access controls. Security is essential for financial services companies and banking institutions, so all communications within the constellation and back to the application are encrypted using IBM's rich, secure and robust technology.


In addition to secure socket layer connections and transport layer encryption using standard protocols for scalability, IBM Data Virtualization has unparalleled scaling for complex queries with connections and assemblies across dozens of live systems, is well documented, and has the ability to quickly adapt to growing business demand. IBM Data Virtualization technology transforms all SQL dialects so that you can continue to use newly created applications and tools Data virtualization enables more self-service and increases productivity.


Features That Improve Efficiency


There are a number of important features in IBM Data Virtualization that enable companies to work more effectively with their data. These features are collaborative computing tools, schema folding, and simple join display tools.


collaborative computing


So in the aspect of collaborative computing, data virtualization speeds up processing times, and latency is avoided from data transfer and copying. All warehouse data can be accessed in real-time so that misinformation issues are eliminated With Data Virtualization you can get real-time insights without the need for data transfer so data virtualization remains highly complementary with existing methods and can easily be done when necessary Copying and transferring data for archival or organizational purposes.


schema folding


Now let's discuss schema folding. The common scenario in distributed data systems is that many databases are in a shared schema. For example, you might have several databases storing sales data or transaction data each with a group of tenants or an organization. IBM can discover Data Virtualization for common schemas via systems automatically and allow them to appear as a single chart in the default representation of the data.


This process is known as schema. For example, the existing sales table in each of the two databases can now appear as one sales table and can be queried through SQL as one default table.


what is IBM data virtualization?


Data virtualization is a major component of the data texture architecture. Explain IBM Data Virtualization and how you can use its single distributed query engine to query across the cloud, databases, data lakes, warehouses, and data streams without copying or moving data with integrated data management, security, and data privacy.


what is IBM cloud pak used for


The allure of IBM Cloud Paks is undeniable. Today's largest companies face enormous difficulties while navigating their digital transformation to move to the cloud if their entire IT infrastructure is developed using IBM on-premises products.


These companies are trying to quickly transition away from legacy software for three main reasons (among others):


  1. High annual software support costs
  2. Resource-intensive workloads
  3. Shortage of quality expertise


Undoubtedly, it is tempting to replace outdated software with an IBM Cloud Pak that your IT team can easily set up, install, and manage. Cloud Paks can be implemented on-premises or in the cloud, giving businesses freedom in how their future infrastructure looks and functions.


There are obviously initial cost benefits, but this needs to be further evaluated before contracts are signed. While the initial pricing appears to be lower, OEM contracts typically consume a significant portion of a company's IT budget over time.


Since Cloud Paks do not depend on the vendor when it comes to cloud, organizations are not tied for their first choice (migration? IBM Cloud Pak?). Because the container is based on Red Hat OpenShift, its management is handled by the open-source Kubernetes platform. You start with the IBMprivate cloud and then move to AWS or Azure if lower rates are found, without risking system downtime.



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