We are thrilled to announce the general availability of the May 2020 release of the SnapLogic Intelligent Integration Platform (IIP).
New Iris artificial intelligence (AI) innovations within this release allow you to build painless integrations, increase collaboration within your organization with new Stickies, and automate workflows with new SAP S/4HANA Snaps, among many more.
New Mask Snap, powered by Iris AI: Simplify data masking!
As you work with a variety of data in your dev and test environments, it is always good practice to shield and protect sensitive information. Masking sensitive or personally identifiable information such as: social security numbers (SSN), email addresses, names, street addresses, and birthdates is easy with our new Mask Snap.
With the Mask Snap, Iris AI is embedded in every step :
– suggestions on the fields you should mask,
– recommended search mode,
– recommended match mode,
– recommended masking options
You can remove or mask fields, and it works with all data types, including highly-nested JSON.
We continue to enhance our industry-leading AI technology to make it easy for you to build integrations and automations, easily and painlessly. With the new May 2020 release, as you are configuring a database or an application Snap, Iris AI now provides configuration recommendations such as schema name, object name. To provide these recommendations, Iris employs over five years of metadata information and usage patterns to intelligently determine the most commonly used schemas and objects in your organization.
From source to destination, Iris AI continues to simplify schema mappings – map even complex schemas in minutes. With the May 2020 release, Iris now provides target recommendations in Mapper for exact matches between source and destination schemas.
Boost collaboration with peers using Stickies!
SnapLogic customers who have previewed our May 2020 release have embraced our new Stickies feature with great enthusiasm. Stickies enables better collaboration and documentation of your pipeline building efforts. Stickies allow you to create and post notes on the Designer canvas to annotate different parts of the pipeline and document the workings of a pipeline in detail.
Stickies provide a great collaboration tool between IT teams, who might create pipelines, and business teams, who might want to customize and run pipelines based on their specific needs.
Stickies reside at the pipeline level, thus, they complement the Snap level ‘note’ feature already present in the platform. Additionally, Stickies are part of a pipeline’s metadata – export stickies along with your pipelines.
Deeper operational insights with Insights dashboard and task monitoring
In the May 2020 release, to provide you with trends data on operational parameters and task level insights into your SnapLogic deployment, there are significant updates to the Dashboard tab.
USe the enhanced Insights tab to improve operational efficiency with a view of historic usage and trends across key performance indicators (KPIs) such as :
– documents processed,
– pipeline executions,
-Snap executions, etc.
Filter these KPIs by specific criteria and personalize the view stohave the most relevant visualizations at the top.
The May 2020 release introduces a new tab, called ‘Task’, to provide a task level view of your SnapLogic deployment. Monitor the performance and health of your tasks and drill down into historical information to identify where certain tasks are failing or underperforming. Significantly improve your efficiency as you troubleshoot the root cause of a dip in performance or failure.
Automate your customer journey with new SAP S/4HANA Snap Pack
Another key update in the May 2020 release is the new SAP S/4HANA Snap Pack. SAP S/4HANA, is a modern enterprise resource planning (ERP) system that leverages SAP HANA, an in-memory database. Here are a few key use cases k:
– Order-to-Cash from Salesforce to SAP S/4HANA
– Real-time inventory management from databases to SAP S/4HANA
– Advanced financial planning with data from SAP S/4HANA to Anaplan
– Managing and engaging talent with automations across Workday and SAP S/4 HANA
– Managing organizational spend across Coupa or SAP Ariba and SAP S/4HANA
The SAP S/4HANA Snap Pack provides Create, Delete, Read, and Update Snaps and massively simplifies data modeling as you build automated business processes to connect SAP S/4HANA with other systems.
Build a single source of truth for your customer profile data inAdobe Experience Platform
We have updated the Adobe Experience Platform,( previously referred to as Adobe Cloud Platform Snap Pack). Use it as the single source of truth for your customer profile data. Update and maintain customer data in real-time to power accurate, up-to-the-moment, insights for your sales, marketing, and support teams. This Snap Pack update consists of a Write Snap, an S3 connector, and an AEP File Generator to leverage the capabilities of the Adobe Experience Platform and eliminate data silos for your customer profile data.
Connect with other Snap updates with confidence
Cassandra Snap Pack: now updated to support v3, with an updated JDBC driver
Snowflake Snap Pack: updated to JDBC driver version 3.12.3.
ServiceNow Snaps: now certified against Madrid, Orlando, and New York versions.
Oracle Snaps now supports version 19c.
SnapLogic eXtreme enhancements
Offering enhanced account encryption and cross-account IAM roles, SnapLogic eXtreme gets a big security boost with this release. These two new enhancements help your organization improve its security posture while delegating access to AWS EMR resources that SnapLogic eXtreme leverages to execute Spark-based pipelines.
Enhanced Account Encryption leverages Amazon KMS asymmetric keys– you no longer need to put in the secret key associated with your account in the SnapLogic UI.
Cross-Account IAM Role enables SnapLogic to assume an authorized role for the purpose of managing the lifecycle of Amazon EMR clusters that run Spark mode data transformations, so you don’t have to do it..
SnapLogic eXtreme is broadly applicable with support for any JDBC compliant data store.
Use a Spark mode pipeline to read from or to write to any JDBC compliant database.
Important for big data workloads – no longer need to use a data lake like S3 for staging.
