Infoworks for databricks data onboarding

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      Imagine combining the best talent and technology in the world to deliver the market’s only comprehensive enterprise data operations and orchestration (EDO2) platform. That’s what we’ve done at Infoworks! Join us on our journey to build the foundational data platform running at scale in the world’s largest enterprises.
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Infoworks Data Onboarding

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:

Data Ingestion – from all enterprise and external data sources
Data Synchronization – CDC to keep data synchronized with the source
Data Governance – cataloging, data lineage, metadata management, audit, and history

Data Ingestion & Synchronization

Capabilities:

Schema Discovery
Data type discovery & mapping
High-speed, parallelized data ingestion
Change Data Capture (including log-based)
Data Validation and reconciliation
Schema change handling
Time Axis/SCD2 at record level
Native paths to sources (e.g TPT for Teradata)
Connectors for databases, data warehouses, NoSQL, SaaS apps, APIs, files (CSV, JSON, etc) and more…

Benefits for Databricks users

Performance & Optimization

All ingestion is run using Databricks Runtime processing (not JDBC), for better performance
Automated deployment of auto-scaled, on-demand clusters tailored for individual jobs and data sizes for easier optimization

Simplified Management

Augments Delta Merge support, by automatically maintaining record versioning, for any time period
Data is natively stored in Delta Tables
Automatically prevents duplicate record errors in Delta merge
auto-optimizes Delta Tables to Overcome fragmentation due to multiple small files

Easy Access to Data

All Delta tables created by Infoworks data onboarding are registered in the metastore, allowing easy SQL access via notebooks
Onboarded data is automatically cataloged

Data Governance

Capabilities

Automated cataloging of all data sources that have been crawled, ingested and synchronized
Catalog includes data pipeline targets that have been prepared from transformation pipelines and all accelerated data models prepared using Infoworks
Discover and search for data sets by name, metadata, and tags
Add business descriptions and
glossary information
Review metrics including data
refresh statistics
Automated maintenance of data lineage from source to consumption
Audit tracking of all changes to data assets
Role-based access control into domains for collaborative data preparation
Auto stratification of data into raw/ingested zones, integrated and curated zones

Benefits for Databricks Users

Simplified Data Discoverability

Automatically maintains a data catalog with business and technical metadata, for all ingested data, for easier data discovery by data engineers, data scientists and others

Built-in Data Governance

Provides a single trusted view of all data assets in the Delta Lake
Avoids a data swamp, through automated metadata lineage, audit, and governance

Featured Content

Webinar

Automate Cloud Data Operations for BI and ML Data Pipelines

In this joint presentation with Databricks, see how you can build production-quality data pipelines faster for Databricks.

Case Study

Retail Department Store: Customer 360

A brick and mortar plus online retail department store accelerates their time to deployment for a customer 360 analytics initiative

Case Study

12 Minute Video: Bank of New York - Eagle Investment Systems

Learn how Eagle went from incubation to an enterprise-scale solution in just 10 months in this "highlights reel" from Strata.

White Paper

Bloor Research: Infoworks Software Review

A 2 page overview and review of Infoworks by industry analyst and expert, Philip Howard of Bloor Research

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Onboard Your Data

Establish an enterprise-grade foundation to run analytics at scale