Overview
Informatica Big Data Edition provides a safe, efficient way to integrate all types of data on Hadoop without having to learn Hadoop.
Accelerate deployments
Early adopters of Hadoop had no choice but to hand code using Java or scripting languages such as Pig or Hive. Informatica Big Data Edition saves developers time with a visual development environment, reusable business rules, efficient collaboration tools, and flexible deployment models that allow them to build production-ready data pipelines up to five times faster than hand coding allows. Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data.
Integrate all data at scale
Transaction data stored in databases and flat file formats is only a fraction of the ever-growing volume of data that today's businesses need to integrate. Informatica provides hundreds of high-speed connectors and pre-built transformations so you can integrate and cleanse data on Hadoop from cloud and mobile applications, social media, sensor devices, and more.
Readily staff big data projects
Hiring and retaining Hadoop experts can be a time-consuming and costly challenge — but it doesn’t have to be. With Informatica Big Data Edition, no specialized coding is required to scale performance on distributed computing platforms like Hadoop. There are more than 100,000 trained Informatica developers worldwide who can staff your big data projects today.
Adopt new technologies faster
Hadoop is evolving rapidly, but you shouldn't have to rebuild everything each time a change or innovation emerges. Informatica Big Data Edition is powered by Informatica Vibe™ so you can build your transformation logic once and adopt new technologies fast without having to rebuild your data pipelines and destabilize your production environments.
Key Features
Faster to value, faster to staff, faster to integrate, faster to trust, faster to innovate, faster to deploy.
Universal data access
Access all types of data including transactions, applications, databases, log files, social, machine, and sensor data
High-speed data ingestion and extraction
Move data between source systems, Hadoop, and target applications using high-performance connectivity
Real-time data collection and streaming
Collect log files and machine and sensor data in real time and reliably stream data at scale directly into Hadoop
Data integration on Hadoop
Access an extensive library of prebuilt transformation capabilities on Hadoop via a visual development environment
Data profiling on Hadoop
Profile data on Hadoop to understand the data, identify data quality issues, and collaborate on data pipelines
Data discovery on Hadoop
Automate the discovery of data domains and relationships on Hadoop such as sensitive data that needs to be protected
Data quality on Hadoop
Scrub, standardize, and enrich data on Hadoop with an extensive set of data quality rules including address validation
Natural language processing on Hadoop
Use natural language processing to identify and classify entities in social media and text files
Complex data parsing on Hadoop
Parse complex, multi-structured, unstructured, and industry standard data on Hadoop using pre-built parsers, or easily create your own
End-to-end data lineage
Provides complete transparency with end-to-end data lineage of all data movement from source data, through Hadoop, to target applications
Design once and deploy faster
Preserves transformation logic so you can build data pipelines once and speed deployments as Hadoop continues to change
Editions of Big Data Edition
Feature List |
Standard |
Governance |
Data Integration Transforms on Hadoop |
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Data Quality Transforms on Hadoop |
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Data Profiling on Hadoop |
Column, Rule, Join Validation, Mapping Generation from Profile, Midstream, Comparative Profiling and Scorecarding |
|
Complex Data Parsing (Big Data Parser) |
Restricted to logs, XML, JSON, custom/proprietary data formats |
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End-to-End Data Lineage |
|
Restricted to supporting Big Data Edition |
Business Glossary |
|
Restricted to supporting Big Data Edition |
Natural Language Processing (NLP) Transforms on Hadoop |
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Address Validation Transforms on Hadoop |
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Data Domain Discovery on Hadoop |
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Data Masking Transforms on Hadoop (Limited) |
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Real-Time Data Collection and Streaming (Vibe Data Stream) |
Restricted to HDFS targets and 100 GB daily source data volume |
Restricted to HDFS targets and 100 GB daily source data volume |
High-Speed Data Ingestion |
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Database Connectivity |
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Hadoop Connectivity |
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HBase Connectivity |
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Social Media Connectivity |
Unlimited Data Types |
Unlimited Data Types |
Ten (10) Informatica Data Analyst Named Users |
|
|
Support (included with subscription license only) |
8 x 5 |
24 x 7 |
Related Products & Solutions
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Customer Success Stories
UPMC
UPMC used a collection of Informatica products to improve research outcomes in the quest to cure various diseases
BNY Mellon
BNY Mellon accelerated a successful merger using Informatica’s real-time integration products