Enterprise Data Operations and Orchestration for Databricks

Positions you for success in analytics and helps you avoid the pitfalls of a data swamp

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Infoworks For Databricks

Infoworks is the only automated Enterprise Data Operations and Orchestration (EDO2) system that runs natively on Databricks and leverages the full power of Databricks and Apache Spark to deliver the fastest and easiest solution to onboard data and launch analytics use cases on Databricks.

Infoworks offers a comprehensive suite of functionality that covers the entire data workflow, enabling users to onboard, prepare, and operationalize data, and achieve unprecedented scale and agility in analytics.

Step 1: Onboard Your Data

Data onboarding is the critical first step in operationalizing your data lake. Infoworks not only automates data ingestion but also automates the key functionality that must accompany ingestion to establish a complete foundation for analytics. Data onboarding with Infoworks automates:

  1. Data Ingestion – from all enterprise and external data sources
  2. Data Synchronization – CDC to keep data synchronized with the source
  3. Data Governance – cataloging, data lineage, metadata management, audit, and history
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Step 2: Prepare Your Data

Infoworks automates preparing data for analytics and optimizing data pipelines for performance. Data preparation with Infoworks applies intelligent automation to:

  1. Data Transformation – data pipeline design, optimization, and incremental updates
  2. Data Modeling – use-case specific optimization of data models with incremental updates
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Step 3: Operationalize Your Data

Infoworks greatly simplifies deployment and management of analytics use cases in production by automating:

  1. Data Pipeline Deployment and Promotion – from development to production
  2. Pipeline Orchestration – automated management of fault-tolerant analytic workflows
  3. Hybrid and Multi-Cloud Deployment – automated export or migrate data pipelines to target platforms on-premises or in the cloud
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Infoworks and Databricks Accelerate and Streamline Your Digital Transformation

Eliminate Your Data Analytics Backlog

Fully integrated system manages end-to-end data workflows and data pipelines, from sandbox to production

Rapidly launch analytics and machine learning use cases on Databricks at scale

Reduce Ongoing Operational Costs

No-code environment to orchestrate and manage enterprise data operations

Run data workflows directly on Databricks and store data natively in Databricks Delta Lake

Scale up for Enterprise Readiness

Built-in monitoring, management and governance

Accommodate changes in data pipeline workflows as business requirements and technologies evolve

Migrate More Quickly to Achieve Cloud Analytics Productivity

Easily migrate data and data pipeline processes from on-premises to the cloud

Extensive automation capabilities across data ingestion, transformation, orchestration and management

Case Study

Leading Healthcare Company
2 Weeks

Improves SLA’s and exceeds TCO goals while reducing complexity and on-going maintenance:

  • 42 source tables
  • 24 data pipelines
  • 38% decrease in data operations costs
  • 25% increase in query performance
  • Ability to control costs down to the individual data workflow
  • Automated use of on-demand and elastic clusters
  • Eliminates hand-coding

See Infoworks and Databricks in Action

Explore how Infoworks automates and accelerates the creation and ongoing management of enterprise-scale Databricks cloud analytics and ML projects.

Want to learn how Infoworks software automates data operations and orchestration for Databricks?

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