Solution Brief: Automated Data Lake Creation and Management
Infoworks fully automates the ingestion and synchronization of data going into a data lake.
READ MOREOrganizations are modernizing their Enterprise Data Operations and Orchestration (EDO2) systems and are moving from traditional data warehouse platforms to data lakes or Delta Lakes (in the case of Databricks users). The goal is to support more agile and flexible data analytics environments that work for both traditional business intelligence and machine learning data analytics. Infoworks provides greater levels of automation that simplify your EDO2 implementation through greater levels of automation:
Infoworks DataFoundry provides a wide range of capabilities that cover data ingestion, change data capture, synch and merge of data into your data lake (or Delta Lake), promotion of data pipelines to production as well as orchestration and monitoring of your data pipelines running at enterprise scale.
Develop data pipelines and full workflows with an easy to use no-code development environment. Deep automation takes care of highly repetitive tasks like creation of CDC data pipelines, handling of slowly changing dimensions, and automatic creation of data lineage to aid in data governance.
Data governance is not an afterthought at Infoworks, it is built right in! Data access to data in your Data or Delta lake can be controlled through role and domain management. Data pipelines developed with Infoworks DataFoundry are “lineage-ready” and automatically track lineage from ingestion through to consumption. All data pipelines are pre-configured to participate within more complex workflows that can be started, paused and restarted, all without having to write a single line of code or script. Operationalization of processes are handled within the no-code development environment, automatically.s
Machine learning and business intelligence data pipelines developed with Infoworks Data Foundry can run natively on any of the major big data lake platforms, on-premises or in the cloud. Pipelines deployed on one data lake can be moved to any another platform without requiring recoding while delivering a high level of performance. This high level of portability eliminates cloud-vendor lock-in and gives you maximum flexibility as data lake and cloud analytics technologies evolve.
Populated and managed a data lake for thousands of concurrent users
Infoworks fully automates the ingestion and synchronization of data going into a data lake.
READ MORELearn how this high tech manufacturer replaced a 130 week in house development with 10 weeks of effort using Infoworks
READ MORERead this eGuide to learn the top 4 solutions needed to avoid being sucked into a Big Data whirlpool
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