Recorded Live at Strata: 12-Minute Case Study Video on an Agile Data Lake Watch Now

Use Big Data Automation to Simplify
Data Engineering and DataOps

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Agile Data Engineering Platform

Eliminate Complexity Through Automation

The Challenge

Big data and cloud projects fail to deploy to production because data engineering and dataops are complex, resource intensive efforts that often take months or even years.

15%
of Hadoop projects deploy to production
2
data engineers for every data scientist
4
months from data source to insight
80%
of time spent in data preparation

The Solution

Infoworks agile data engineering platform automates the creation and operation of big data workflows from source to consumption, both on premise and in the cloud. We use big data automation to help our customers successfully implement end-to-end use cases to production in days, using 5x fewer people.

Customer Case Studies

Fortune 10 Retailer
Migrated a complex, machine learning, near-real-time, business process in 19 days
  • Synchronized with Teradata every 10 mins
  • 15 min data-availability service level agreement
  • Implemented by 2 engineers in 19 days from requirements to production
Without Infoworks Infoworks
~6 Months 19 Days
9.5x Improvement
Oil and Gas Exploration
Implemented a streaming ingestion, near-real-time, predictive analytics solution in 2 weeks
  • Streams data from oil wells in near real-time
  • Integrates with historical data
  • Built a real time drilling dashboard with preventive maintenance analytics
  • POC to production ready in 2 weeks
Without Infoworks Infoworks
~6 Months 10 Days
18x Improvement
Fortune 100 Technology Company
Populated and managed a data lake for thousands of concurrent users
  • 1,500 data sources
  • 100,000+ tables
  • Ingests, synchronizes and captures changing data on an ongoing basis
  • Supports a data shopping cart for enterprise-wide usage
Without Infoworks Infoworks
~9 months 2 Weeks
18x Improvement

Automation is the Key

Infoworks has introduced the world’s first agile data engineering and dataops platform, called the Infoworks Autonomous Data Engine. By applying an unprecedented level of big data automation to data engineering and dataops, we eliminate big data complexity both on-premise and in the cloud.

See it in Action

Automates the complete data workflow from data ingestion to consumption

Automates migration of data and workloads from legacy data warehouse systems to big data platforms

Automates ongoing orchestration and management of production analytics pipelines and critical infrastructure

Automates delivery of data to business intelligence and advanced analytics

Big Data Automation Delivers Tremendous Value to Your Business

Agility

  • Deploy new use cases in days….not months
  • Add new data sources with a single click
  • Enable self-service for faster data pipeline creation

Flexibility

  • Choose any analytics tools, methods, or algorithms
  • Choose any big data platform, on premise or cloud
  • Integrate custom or 3rd party applications

Operating Efficiency

  • Reduce time to build and maintain analytics use cases
  • Reliably operationalize projects into production
  • Monitor the status of end-to-end data pipelines

Cost Efficiency

  • Focus resources on generating business value
  • Decrease demand on IT through self-service
  • Spend less time maintaining existing data workflows

Are you ready to move your big data projects into production?

Schedule a Demo