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Streaming Analytics, Kafka, Data Lakes, Big Data Streaming Analytics, Stream Data Collection
Streaming Analytics, Kafka, Data Lakes, Big Data Streaming Analytics, Stream Data Collection
Streaming Analytics, Kafka, Data Lakes, Big Data Streaming Analytics, Stream Data Collection
Archive data from legacy applications in IT Portfolio and move dormant data in production applications to secure your data from breach
Informatica Data Quality 9.6 - Great data isn’t an accident. Great data happens by design. Combine data cleansing with a holistic data stewardship process
Big Data Management For Dummies, an eBook that explains the building blocks, including the three core pillars: big data integration, big data governance, and big data security.
Informatica PowerCenter 9.6 allows you to build data quality directly into an data integration process. Data integration agility is crucial.
Many of today's Big Data projects convert our personal data into sales and marketing insights. But -- can I trust you to keep my data accurate & securely?
Learn key differences between data leakage and data loss, and tips to prevent data leakage.
Without Data Quality, your Data Scientists aren't able to add value
Join the Big Data Ready Summit at Informatica World 2015 to learn how you can become Big Data Ready!
How to Make Great Data Work? Data Architectures for Agility and Compliance.
Data governance programs face new challenges when it comes to supporting emerging big data use cases.
Big Data in Automotive Accelerates from 0-60 in 3 seconds with Big Data Management.
To turn insights into value, you must quickly build the data pipeline that turns raw data into business results
See Data Integration Hub 10.1’s Cloud & Big Data Integration in Action.
Customer Data Decay: Why Your Contact Data is Rotten.
A good data catalog is the foundation for any data project.
Self Service BI vs Data Governance: How to be "data agile" with a Catalog.
Data Security at Informatica World 2017: Customer and Expert Guidance for Data Security