Data is driving the strategic decisions within organizations. Because data is such an important asset, it is essential to capture data from a variety of sources across the enterprise, including partner ecosystem and third-party data. Many organizations have started initiatives to bring data from the various sources and move it onto data lakes or messaging systems such as Kafka so that they can integrate and analyze the data to help drive critical business decisions.
A cloud data platform is typically used for a variety of business use cases including:
Organizations typically ingest data into a cloud data lake before moving the data into cloud data warehouses where it can be made available for BI and analytics. The challenge is, you need to efficiently and accurately ingest large amounts of data from a variety of sources. That’s where your ingestion solution makes a difference.
Data may come from batch or real-time sources and there are four primary data sources:
Typical data lake architecture involves the ingestion of data from the above sources onto cloud data lakes or messaging systems (like Apache Kafka). Once the data is available in the lake, various data integration techniques like enrichment, transformations, and aggregation can be applied to the data to make it ready for the business use cases that we described above.
Organizations are struggling with mass ingestion deployments for a variety of technical and operational reasons and are seeking solutions to meet their business and technical needs:
Informatica offers the industry’s first cloud native unified mass ingestion solution with Informatica Intelligent Cloud Services (IICS) Cloud Mass Ingestion for ingesting data from various sources.
Informatica Cloud Mass Ingestion addresses three main use cases:
Cloud Mass Ingestion provides a simple wizard-driven experience for building flows to ingest data from batch sources like file and relational databases as well as real-time sources like CDC, IoT systems and other streaming sources. It provides a consistent real-time monitoring and lifecycle management experience for jobs so that you can manage them effectively.
Fig 3: Simple, intuitive experience for designing and real-time monitoring
Ingestion of data from variety of sources is a key first step in your journey towards cloud data lakes. It is important to have a unified solution to ingest data from various sources using a consistent design, deployment, monitoring, and lifecycle management experience. Informatica offers a unified cloud native Mass Ingestion solution within IICS to address the ingestion use cases of the customers.
Visit the Cloud Mass Ingestion product page for more details.
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