Informatica gets Intelligent About Powering Digital Transformation
Against the backdrop of more organizations turning to the cloud for the storage and use of the valued asset of data, Informatica has announced their Cloud Spring Release for 2017.
Organizations today need to take advantage of the numerous relevant data platforms to provision their data to. Platforming the data correctly is a key indicator of workload success. This leaves the progressive organization with more data platforms than ever before and with a clear need to make them all work together. Throw in multiple clouds and the data management challenge is moving exponential.
Managing the data integration is one of my client’s limiting factors to data – and consequently business – success.
All platforms cannot perform all enterprise processing and must take advantage of the data that has been sourced into other platforms, and refined there. Data integration is at an all time high in terms of need and showing no signs of abating. Informatica calls the challenge Hybrid Data Management.
It is the top data job in terms of sheer volume of need and Informatica – the “Switzerland of Data” – has always been a leader at this.
The Informatica World announcements are less a pivot than a natural progression. Like many software providers, Informatica must provide cloud native software. Their “iPaaS” solution has always covered the gamut of need for modern data integration. The Informatica World announcements expand their solution with connectivity, API and application integration enhancements.
Informatica’s position is that IT does not want to be system integrators, but does want end-to-end data management with enterprise-class scalability and flexibility along with flexible pricing.
To that end, the flagship of the Informatica World announcements is the Intelligent Data Platform (IDP) for the Cloud, which includes a new user interface, new tool designs, and a microservices architecture that keeps common capabilities consistent across all of the cloud products.
This will help to ensure consistency across the Lego pieces of the Data Integration Cloud, MDM Cloud, Data Governance Cloud, and the Security Cloud.
The Intelligent Data Platform scans and provides a view of all data and metadata across the enterprise, not just data integration data and metadata. Live Data Map is the enabling technology for the machine learning / AI intelligence of the platform.
The Enterprise Information Catalog (EIC) provides visibility into the data in an organization. Its functions will largely be able to be done with a common UI, login and skillset. It also features intelligence. For example; if you are working with some data sets it will automatically suggest similar data sets that people have used while doing work similar to what you are doing.
Another example of intelligence in the Intelligent Data Platform is that the data prep capability in Intelligent Data Lake can offer to help you to join data tables with suggestions like “You might want to join these three tables by using this key”.
The metadata is collected by “scanner” technology. Many such “scanners” are available today that includes Big Data Platforms (HIVE, BigInsights, HDFS, Cloudera Navigator), Databases (Oracle, DB2, etc.), Applications (SAP R/3, Salesforce, etc.), etc. and we can expect Informatica’s developer path to add to this list in order to rapidly be able to cover most enterprise assets with the Intelligent Data Platform soon.
The MDM Cloud will be available in Q4 with cloud-native Customer 360 for Life Sciences, Cloud Reference Data and Cloud Product 360 available first.
Informatica will also be announcing integrated Data Quality, the Enterprise Information Catalog and Secure@Source additions into the recently acquired Diaku Axon data governance software. Secure@Source will add an additional layer of data-centric security for data before it is integrated or moved elsewhere into the architecture.
Finally, the Informatica World announcements provides one-click installation and EIC installation on AWS and Azure of their Hadoop data integration product Big Data Management, which now decides between its Blaze engine and Spark for managing a workload.
The many organizations that are taking strong steps towards the cloud for their data and processing will see benefit from the IDP approach. With a platform for widespread metadata sharing and leveraging skills across a spectrum of modern data functions, IDP and the other parts of the 2017 Informatica World announcements will prepare organizations in making data into the asset it needs to be.