Pentaho Role in Moving Beyond Big Data to the Transformation
Carly Fiorina has rightly said “The goal is to turn data into transformation and information into insight” and so is fulfilled by Pentaho BI service. Businesses can drill the data with BI tools and gets insight from the heaps of data. It even let the business users and technology persons come to the same page.
Furthermore, Pentaho BI services help the business representatives to leverage the benefits of its tools which will further help in increasing ROI, efficacy, revenue, and profitability. Pentaho 7.0 version has provided us a platform where we could integrate BI and Di together and we could visualize from anywhere in the world. But now its new version Pentaho 8.0 is helping people to move from big data to real transformation.
Pentaho 8.0 has all the features which Pentaho 7.0 provides but along with that it has some advanced features like data integration and data mining.
Lets's see what is new in Pentaho 8.0
- More Simplified version of Pentaho Services: Pentaho 8.0 has good compatibility with spark libraries. It also has support for Cloudera and Hortonworks. Talking about the performance and security of the Pentaho 8.0 version, it is much simpler, more powerful, and more secure.
- Kafka and Streaming Ingestion: Kafka streaming implementation is possible with the help of Pentaho 8.0. It can be leveraged in various things like analysis, monitoring, and alerting. With the help of Pentaho 8.0, you can easily connect to a Kafka, and then with it, you can easily ingest streaming data. It can be utilized in a business where you can easily fetch live events from a web application and can help in trading data. All the data architects, ETL developers, and IT administrators can make use of streaming ingestion features to enhance the business.
- Big Data Security: Pentaho 8.0 provides you with better big data security. While using Knox-protected Hortonworks clusters, Pentaho 8.0 provides you an easy way to leverage the PDI. Even apache ranger can be used with it and with it, you will be even able to control user-level access.
- Easy run configurations: You can easily use some run configurations feature presented by Pentaho 8.0 to run some local ETL activities. Even for complicated ETL activities, we can set up a run configuration that would be running the transformation on the server. So, the total transformation will now be very easy with Pentaho 8.0.
- More Elastically Transformations: While making PDI transformations and jobs using Pentaho 8.0 server, you can scale them easily and securely and the best part about them is that you can coordinate with them at the same time. To monitor the status of a transformation, you can make a Pentaho dashboard that will tell you the live status of the transformation. It will monitor the load going to the Pentaho work node.
- Filters for better analysis of data: We can’t inspect the raw data as it won’t provide us fruitful analysis. For getting a better analysis, you need to filter out the data based on some criteria and that is easily provided by Pentaho 8.0. You can then filter out the data and view the data in visualizations. Data will be refined after filtering and it can be used for both views- Stream, and Model. Even filters can be applied to the charts, flat, and pivot tables.
- Easy Gathering of raw data: Pentaho 8.0 gives us the flexibility to use Avro and Parquet data formats. There are improved and better Avro and Parquet IN/O transformation steps that make the process of gathering data very easier. With this data, you can create very good analysis reports by feeding them to a Hadoop ecosystem. It provides you with an easy drag and drop interface which makes the transformation much easier and businesses can use it to enhance the business flow.
Case Study
Let’s see in detail how Pentaho 8.0 has brought a major change to big data solution companies. You will get proper streaming support in PDI but have you ever thought that the steps which are used currently for streaming sources introduce issues because that streaming server requires all jobs to be running persistently while you have these steps running on different threads.
Even if something goes wrong, we can’t easily figure it out. So, Pentaho 8.0 has brought to us a different approach where you will have the transformation steps and a batch that would control the flow of all the steps. Instead of having a transformation that would be persistent, what we are going to have is to divide the data into chunks, and then the second transformation would run when it gets the data from the first step. The step will then be synchronous and will look persistent.
Once you have your transformation steps ready and they are running perfectly on your machine and you want them to be executed on the server then you can make a run configuration with the help of Pentaho 8.0. Just you need to select Pentaho Server as run configuration and that’s it. Your PDI will trigger the transformation steps and hence you will start seeing the logs on the server.
Some outstanding improvements have been checked out in Pentaho 8.0 which helps us to communicate with the Pentaho client tool over the web socket. Remember, now it doesn’t require any zookeeper to do all these. With the help of this, transformation steps get reduced and much more stable load balancing came into the picture.
Pentaho 8.0 uses distort specific spark library which makes it robust and error-free. It has also compatible with different data formats: Avro and Parquet. Now, it has support for Knox which provides perimeter security Thus, it is vastly used in Horton works deployments due to its enhanced security.
Conclusion
We have seen how Pentaho 8.0 has brought a revolution to the world of big data and it has moved beyond big data to the real transformation with its exciting features explained above.
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