Announced in July, Pentaho 8.3 is the latest version of the data integration and analytics platform software from Hitachi Vantara. Along with new and improved features, this version will support DataOps, a collaborative data management practice that helps customers access the full potential of their data.
“DataOps is about having the right data, in the right place, at the right time and the new features in Pentaho 8.3 ensure just that,” said John Magee, vice president, Portfolio Marketing, Hitachi Vantara. “Not only do we want to ensure that data is stored at the lowest cost at the right service level, but that data is searchable, accessible and properly governed so actionable insights can be generated and the full economic value of the data is captured.”
How Pentaho prevents the loss of data
According to Stewart Bond, research director, Data Integration and Integrity Software, and Chandana Gopal, research director, Business Analytics Solutions from IDC, “A vast majority of data that is generated today is lost. In fact, only about 2.5% of all data is actually analyzed. The biggest challenge to unlocking the potential that is hidden within data is that it is complicated, siloed and distributed. To be effective, decision makers need to have access to the right data at the right time and with context.”
The struggle is how to manage all the incoming data in a way that exposes everyone to what’s coming down the pipeline. When data is siloed, there’s no guarantee the right people are seeing it to analyze it. Pentaho Development is a single platform to help businesses keep up with data growth in a way that enables real-time data ingestion. With available data services, you can:
- Make data sets immediately available for reports and applications.
- Reduce the time needed to create data models.
- Improve collaboration between business and IT teams.
- Analyze results with embedded machines and deep learning models without knowing how to code them into data pipelines.
- Prepare and blend traditional data with big data.
Making all the data more accessible across the board is a key feature of Pentaho that this latest release continues to strengthen.
What’s new in Pentaho 8.3?
Latest version of Pentaho includes new features to support DataOps
DataOps limits the overall cycle time of big data analytics. Starting from the initial origin of the ideas to the making of the visualization, the overall data analytics process is transformed with DataOps. Pentaho 8.3 is conceptualized to promote the easy management and collaboration of the data. The data analytics process is much more agile. Therefore, the data teams are able to work in sync. Also, efficiency and effectiveness are increased with DataOps.
Businesses are looking for ways to transform the data digitally. They want to get more value from the massive pool of information. And, as data is almost everywhere, and it is distributed more than ever before, therefore, the businesses are looking for ways to get the key insights from the data quickly and easily. This is exactly where the role of Pentaho 8.3 comes into the picture. It accelerates the businesses’ innovation and agility. Plenty of new and exciting time-saving enhancements have been done to make Pentaho a better and more advanced solution for the corporates. It helps the companies to automate their data management techniques.
Key enhancements in Pentaho 8.3
Each enhancement included with Pentaho 8.3 in some way helps organizations modernize their data management practices in ways that assist with removing friction between data and insight, including:
Improved drag and drop pipeline capabilities
These help access and blend data that are hard to reach to provide deeper insights into the greater analytic value from enterprise integration. Amazon Web Services (AWS) developers can also now ingest and process streaming data through a visual environment rather than having to write code that must blend with other data.
Enhanced data visibility
Improved integration with Hitachi Content Platform (HCP), a distributed, object storage system designed to support large repositories of content, makes it easier for users to read, write and update HCP customer metadata. They can also more easily query objects with their system metadata, making data more searchable, governable, and applicable for analytics. It’s also now easier to trace real-time data from popular protocols like AMQP, JMS, Kafka, and MQTT.
Users can also view lineage data from Pentaho within IBM’s Information Governance Catalog (IGC) to reduce the amount of effort required to govern data.
Expanded multi-cloud support
AWS Redshift bulk load capabilities now automate the process of loading Redshift. This removes the repetitive SQL scripting to complete bulk loads and allows users to boost productivity and apply policies and schedules for data onboarding.
Also included in this category are updates that address Snowflake connectivity. As one of the leading destinations for cloud warehousing, Snowflake’s primary hiccup is when an analytics project wants to include data from other sources. Pentaho 8.3 allows blending, enrichment and the analysis of Snowflake data in conjunction with other sources, including other cloud sources. These include existing Pentaho-supported cloud platforms like AWS and Google Cloud.
Pentaho and DataOps
Each of the new capabilities and enhancements for this release of Pentaho are important for current users, but the larger benefit to businesses is its association with DataOps. Emerging as a collaborative data management discipline, focused on better communication, integration, and automation of how data flows across an organization, DataOps is becoming a practice embraced more often, yet not without its own setbacks. Pentaho 8.3 helps businesses gain the ability to make DataOps a reality without facing common challenges often associated with data management. According to John Magee, Vice President Portfolio Marketing at Hitachi, “The new Pentaho 8.3 release provides key capabilities for customers looking to begin their DataOps journey.”
Beyond feature enhancements
Looking past the improvements and new features of the latest Pentaho release, it’s a good product because of the support it offers its community of users. From forums to webinars to 24/7 support, it not only caters to huge volumes of data on a practical level, but it doesn’t ignore the actual people using the product outside of the data.
Author Bio
James Warner is a Business Intelligence Analyst with Excellent knowledge on Hadoop/Big data analysis at NexSoftSys.com
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