November 28, 2021

With Cloud Data Marketplace, Informatica Organizes Data Sharing Across the Enterprise

To facilitate the reuse of datasets in the enterprise, Informatica launches its Cloud Data Marketplace solution. IT and business teams will be able to load datasets and analytical or AI / ML models that users can access on a self-service basis through an online shopping interface.

After delivering governance tools and data cataloging as-a-service this summer, Informatica now brings, with its Cloud Data Marketplace, a cloud-native solution to make games available on an enterprise scale. selected data to facilitate sharing between the different departments and businesses. By providing this self-service access to data corresponding to the most frequent needs of its users, the company will be able to reduce the time spent by different teams of data scientists and other data managers searching for it each of their own. side to different places and prepare them themselves. Potential consumers of these datasets access the marketplace created through an “online data purchase” type interface that facilitates their search through the different categories available.

In the Cloud Data Marketplace created, the datasets are accessible in a self-service mode and classified by categories. (enlarge image)

AI and machine learning models

The marketplace can also include analytical models and artificial intelligence and machine learning models that will be collected in the form of packages by teams of data scientists. The Cloud Data Marketplace is thus presented as a space for exchange where data scientists and business users can search, consume and publish data sets and AI / ML models, summarizes Informatica. It is possible to deploy several entry points of the marketplace in order to open access to different communities of data consumers.

In an online presentation, the supplier explains how to set up a Cloud Data Marketplace by starting with the creation of administrative roles responsible for supervising it (with IT profiles but also business profiles: administrator, data steward, operational technical profile) and then importing data sets from any source, whether hybrid or multi-cloud.

Marketplace administrators declare the formats in which the data is presented as well as the access methods. (enlarge image)

The different stages of data validation can be automated. On governance aspects, automated workflows display the terms and conditions of use of the datasets to users.

Depending on the nature of the shared data, the terms of use are automatically displayed to users. (enlarge image)

Migrate ETL workloads from PowerCenter to IDMC on Azure

This announcement comes a few days after the return to the stock market of the American publisher, a specialist in data integration. The latter was removed from the listing after its acquisition by an investment fund, during which time it was able to accelerate the transition of its software to cloud services. On this ground, Informatica recently announced, to customers of its on-premise PowerCenter solution, a joint program with Microsoft to transfer their data warehouses and their ETL workloads currently managed on their own to the Azure public cloud. servers. These data warehouses and workloads will be migrated to Informatica’s Intelligent Data Management Cloud (IDMC) platform on Azure (available on Microsoft’s public cloud marketplace) and to Azure Synapse Analytics.

This cloud migration program includes the Migration Factory to automate over 90% of existing customer integration mappings to IDMC on Azure and Azure Synapse Analytics. It includes access to cloud data storage and management experts from both partners, as well as financial incentives to lower the cost of the migration, Informatica says.