Business Intelligence Managers/Analysts, Data/ETL Engineers, and Information/Data Architects are tasked with empowering business users to make use of
data to drive smart decisions and innovations. Data-driven initiatives can be challenging considering the explosion of data volumes due to the proliferation of sensors, IoT, and mobile computing.
Moreover, a growing number of groups within the business want access to fresh data.
To fully harness their data, organizations must also have a cloud strategy for their digital transformation efforts, namely to migrate data from
on-premises environments to the cloud. Considering the tremendous business value of unlocking that data, it’s imperative to prioritize and streamline these
data integration and migration projects.
Gone are the days when IT needed hundreds of coders to build extract, transform, load (ETL) solutions and then maintain those by writing more code. Modern integration platforms eliminate the need for custom coding. Now, data integration projects deploy and scale, often as much as ten times faster.
iPaaS platforms ease the pain because they’re designed for flexibility and ease of deployment for any integration project. A drag-and-drop UX coupled with a powerful platform and hundreds of pre-built connectors out of the box.
The connectors are always up-to-date, so the IT organization doesn’t spend an inordinate amount of time maintaining every integration by hand. This saves an incredible amount of time, money, and frustration across the team and projects and greatly reduces risk.
Not all integration platforms are created equal. Some do simple point-to-point cloud app integrations while others transform large and complex data into a data lake for advanced analytics. Some stgill require extensive developer resources to hand-code APIs while others provide self-service, drag-and-drop offerings that can be used by IT and business leaders alike. Some are best for specific tactical projects while others provide a strategic, enterprise-wide platform for multi-year digital transformation projects.
Organizations must address four key steps during the data migration and integration process:
1. Capture data that supports both the known use cases as well as future undefined use cases (think IoT data to support a future machine learning
enabled use case).
2. Conform inbound data to corporate standards to ensure governance, quality, consistency, regulatory compliance, and accuracy for downstream
consumers.
3. Refine data for its eventual downstream application and/or use cases (once its been captured and conformed to corporate standards).
4. Delivery of data needs to be broad and prepared to support future unknown destinations.
For decades, IT has been tasked to manage integration projects by writing tons of custom code. This onerous task is even more complex with the proliferation of SaaS applications, the surge in big data, the emergence of IoT, and the rise of mobile devices. IT’s integration backlog has exploded. Not only is the deployment too much work, but there is a growing cost to maintain all of the integrations.
Deploying a tactical or departmental data warehouse solution should take days, not months. Moreover, enterprise-wide data transformation projects should take months, not years.
The best data integration platforms:
– Support multiple app and data integration use cases across cloud, on-premises, and hybrid deployments
– Offer the flexibility to be used in cloud, hybrid, or on-premises environments, regardless of the execution location
– Provide a self-service user experience aided by AI, machine learning, hundreds of pre-built connectors, and integration pipeline
templates (patterns) resulting in greater user productivity, and faster time-to-integration
– Have an underlying, scalable architecture to grow with evolving data and integration requirements
– Support different data modes such as streaming, event-driven, real-time or batch
“The SnapLogic iPaaS offering is functionally rich and well-proven for a variety of use cases. It supports hybrid deployments and provides rich and differentiating features for analytics and big data integration (Hadooplex). Clients score SnapLogic as above average for cloud characteristics, functional completeness, ease of use and ability to meet SLAs.” Gartner
SnapLogic is a U.S.-based integration platform company. In mid-2013, it transitioned from a traditional software business to an iPaaS model with the release of the SnapLogic Elastic Integration Platform which provides a large set of native iPaaS capabilities that target the cloud service integration, analytics and big data integration use cases.
The flagship Enterprise Edition features a set of base adapters (Snaps), an unlimited number of connections and unlimited data volume.
Synergy Software Systems has been an Enterprise Solutions Integrator in the GCC since 1991. We are pleased to announce our formal partnership to represent Snap Logic in the MEA region.
Do you need to integrate with Azure? with SAP Data Warehouse Cloud? with Workday? With Odette compliant auto mamufacturers………..?.
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