• Big Data for the Pharmaceutical Industry

    If pharmaceutical companies cannot reduce data management overhead they risk drowning in excessive data. The paper discusses how Life Science companies that wish to be competitive in a world that is rapidly expanding ‘beyond the pill’ can implement capabilities to quickly find relevant data to inform new initiatives or power new solutions and business models.

  • Big Data Management For Dummies

    Big data is vital to driving business innovations and operational efficiencies. Yet companies struggle to make big data projects pay off. Understand the principles of big data management so you can deliver big data that is clean, governed, and secure.

  • Bloor: Managing Data Lakes

    Learn how to optimize your data lake for productivity, collaboration, TCO, and ROI with Bloor's Managing Data Lakes report.

  • The Marketing Data Lake

    A story of how one data-driven marketing team tackled today’s most critical marketing challenge—to answer the simplest questions about leads and revenue.

  • Turning a Data Lake into a Data Marketplace

    A data marketplace is a new type of information management architecture that extends traditional notions of data lakes to combine a standardized and industrialized process for curating raw data assets into trusted information, with a collaborative and self-service mode of engagement with end users so that data consumers can quickly and easily shop for the data they need.

  • Big Data and HParser Game-Changing Innovation for Telecommunications Operators

    This white paper describes the game-changing role of HParser in the telco industry and provides a real-world project example—efficient low-cost processing of call detail records (CDRs). The prescriptive example describes system design, work estimates, capacity planning, and performance benchmarks. It concludes by describing a quick, easy approach to launching big data projects.

  • A Faster Path to Profit for Technology Solution Providers

    How providers can continue to bring new products and services to market in less time than ever by embedding market-leading data integration capabilities from another vendor into their offerings instead of building their own data integration functionality.

  • The Trend Toward Fully Integrated Maintenance

    A discussion on the effects of global digital trends on maintenance practice and professionals. How to embrace the Internet of Things to deliver improved maintenance performance and integrate key business goals into maintenance decision making.

  • Avvo Customer Story

    Informatica Big Data Management allows Avvo to deliver data rapidly and empower business users to self-serve, resulting in significant revenue-generating productivity gains

  • Full Steam Ahead

    Railinc Fast-tracks Railway Operations using Self-service Data

  • Tinkoff Bank

    Tinkoff innovates at a lower cost with Informatica.

  • Western Union

    Western Union helps loved ones near and far stay connected by moving money around the globe. The 160-year old company is evolving its business model, supported by a data strategy that will help enable expansion of digital products, growth of web and mobile channels, and a more personalized online customer experience.

  • Informatica Big Data Security

    By evaluating sensitive data’s location, protection, volume, proliferation, use, and value, organizations can create a risk-based view to help prioritize security investments and focus their data protection resources and processes.

  • Blaze Data Management Engine

    Informatica's Blaze is the industry’s unique data processing engine integrated with YARN to provide intelligent data pipelining, job partitioning, job recovery, and scaling, which is optimized to deliver high performance data processing leveraging Informatica’s propriety cluster awaredata integration technology.

  • How to Avoid the Top 5 Big Data Challenges

    Sr. Director of Big Data Product Marketing John Haddad blogged in July 2014 about his take on the top five big data challenges organizations face today and offered strategies to solve them. This brief is based on those blog posts.

  • The Big Data Payoff

    An infographic on the keys to operationalizing Big Data projects to generate business value. Based on a survey—conducted by IDG Research Services and commissioned by Informatica and Capgemini—of 210 executives in North America and EMEA.

  • Big Data Adoption Success Pack

    Informatica’s Big Data Adoption Success Pack provides you with expert support to quickly start your project with the right architecture and installation – to help you succeed at every stage of your Big Data journey.

  • Big Data Management Foundation Plus Governance

    Informatica Big Data Management allows customers to quickly leverage the power of Hadoop without the need for a hand coded solution. This area of technology innovation is quickly evolving with new product capabilities and newly discovered use cases which are rapidly impacting nearly every industry.

  • Big Data Management Foundation

    Informatica Big Data Management allows customers to quickly leverage the power of Hadoop without the need for a hand coded solution. This area of technology innovation is quickly evolving with new product capabilities and newly discovered use cases which are rapidly impacting nearly every industry.

  • Customer Success Service Pack

    At Informatica Professional Services we have led thousands of successful software implementations, and have identified common factors which are shared by our most successful customers. The Value Realization Blueprint is a formalized process we take new Informatica customers through to prepare them for success.

  • Enterprise Data Catalog Adoption Success Pack

    Informatica’s Enterprise Data Catalog Adoption Success Pack provides you with expert guidance on your product architecture, installation and configuration – to help you succeed at every stage of your Enterprise Data Catalog journey.

  • Enterprise Data Preparation Success Pack

    The key to unlocking value from a marketing data lake is to give data analysts and data scientists the ability to quickly and iteratively analyze the raw data, augmented with enterprise data, so they can look for “gold nuggets” that deliver new insights.

  • Informatica Enterprise Information Catalog Add-On

    Informatica’s Enterprise Information Catalog allows customers to catalog metadata across the enterprise and enables searching data assets and visualization of data lineage and relationships via an efficient user-friendly interface.

  • Informatica Big Data Edition Architecture and Deployment

    Increasing data volumes and speed of information coupled with the explosion of social media has put increasing pressure on IT departments to provide new ways to manage the avalanche of data. Hadoop and related technologies are at the center of many of these efforts and Informatica provides a Big Data Edition to speed the adoption of Hadoop.

  • Informatica Big Data Edition Foundation

    Informatica Big Data Edition allows customers to quickly leverage the power of Hadoop and Social Media connectivity without the need for a hand coded solution. This area of technology innovation is quickly evolving with new product capabilities and newly discovered use cases which are rapidly impacting nearly every industry.

  • Intelligent Data Lake Add-On

    Informatica's Intelligent Data Lake enables self-service access to data stored within Hadoop for data analysts by providing search, discovery and data preparation capabilities.

  • Data Warehouse Optimization Solution

    The joint data warehouse optimization solution including Informatica Big Data Edition, Cisco® Data Virtualization, Cisco UCS®, and Hadoop enables a large volume and variety of data to be integrated and prepared more quickly and more economically.

  • Pervasive and Trusted Analytics

    A Joint Cloudera-Informatica-Tableau-Solution: Quickly and Repeatably Curate All Data into Trusted Information for Self-Service Analytics

  • Newly Emerging Best Practices for Big Data

    This white paper captures the several years of big data best practices available, steering a middle ground between high-level admonitions and down-in-the-weeds technical minutia specific to a single tool.

  • PowerExchange for Hadoop

    Find out how to overcome the challenge of getting any and all data into and out of Hadoop without hand-coding by leveraging the PowerCenter development environment.

  • Getting Big Value Out of Big Data

    In this webinar, we'll explore key findings and lay the groundwork for overcoming big data challenges-with real-world experiences and proven best practices.

  • Clean Your Dirty CRM Data

    How many times have you gone to pick up the phone and the person on the other end tells you, “I’m sorry but you have the wrong number”? It’s a common occurrence in Sales and Marketing as contact data is notoriously inaccurate. From invalid email addresses to undeliverable postal addresses, dirty data is holding your team back from success.

  • Make IoT Pay Off with Big Data Streaming Analytics

    In an era of connectivity, the potential to automate, simplify, and improve your life is awe inspiring. Your company’s opportunity is to leverage connectivity with optimized operations and disruptive business models that will leave competitors dazed. In this webinar, hosted by Information Management, Forrester and Informatica will discuss the keystone that connects IoT with big value: Big Data streaming analytics.

  • Informatica Marketing Data Lake Deep Dive and Demo

    Answering toughest marketing questions using analytics is on top of mind for every marketing leader. Answering these questions hold the key to successful marketing but organizations still fly blind in turning data into actionable insights. With Informatica Marketing Data Lake, data-driven marketers can maximize the return on marketing investments. By combining data ingestion, data quality, governance and master data management, Informatica Marketing Data Lake enables marketing teams to understand granular insights about campaigns and other marketing activities that help increase sales effectiveness, customer loyalty and deliver higher return-on-investment.

  • Transforming Risk Management and Regulatory Compliance at Freddie Mac

    Join Lori Smith, Enterprise Data Strategy & Governance Director at Freddie Mac and Thomas Brence, Director of Product Marketing at Informatica as they discuss the data governance journey at Freddie Mac, one of the two government-sponsored enterprises charged with providing liquidity and stability to the U.S. housing market.

  • Cloud Data Warehouse with PowerCenter and Amazon Redshift – Deep Dive & Demo

    In this technical session we will discuss the reasons many customers are extending PowerCenter to support cloud data warehouses on AWS with Amazon Redshift and review common patterns for Amazon Redshift adoption. We will overview the Amazon Redshift architecture and discuss available options from Informatica for extending PowerCenter to support Amazon Redshift. We will share details about using prebuilt Informatica connectors for Amazon Redshift and other AWS services such as Amazon S3, and overview advanced scaling features such as grid, partitioning and pushdown optimization.

  • Defining Enterprise Cloud Data Management for a hybrid world

    Is your company on a data-driven digital transformation journey? With cloud being a strong directive, managing the enterprise data across cloud and on-premises environments is a common impediment in this journey. However, you are not alone when facing this hybrid data management challenge. Join Forbes contributor and analyst, Joe McKendrick and James Humphrey, Principal Architect at National Instruments as they share critical business drivers, use cases and challenges shaping the success of the journey to cloud.

Success Story

Legal services marketplace automates self-service options for business users

Success Story

Athletic team opens new lines of revenue with a single view of every fan

Success Story

Comcast processes massive amounts of streaming data from customer devices to understand consumer preferences and proactively address customer experience issues.

Success Story

Learn how the CDO and Lead Architect at Lippo Digital use personalized customer engagement to predict customer behavior.

Success Story

Consumer-focused Internet Company Benefits from Big Data

Success Story

Railinc uses Informatica Enterprise Data Catalog to index metadata and add business context to rail data

Success Story

Insurer Delivers a 360-Degree View of Customer Activity to Help Grow Its Business

Success Story

Tinkoff Bank acquires and retains more customers at a lower cost with Informatica Big Data Management.

Success Story

Transamerica’s Enterprise Marketing and Analytics Platform provides a complete view and understanding of all customer relationships across Transamerica’s operations.

Success Story

With Informatica Big Data Management, Verizon serves its customers with a consistent experience across all channels to reduce customer churn, improve marketing effectiveness, and increase personalization.

Success Story

Western Union built a data platform based on Hadoop and Informatica Big Data Edition

  • Cloud Data Lake Management

    Deliver accurate and consistent big data insights you can actually trust to power quicker business decisions.

  • Big Data Management For Dummies

    Read “Big Data Management For Dummies” and learn to deliver trusted, timely, actionable data that drives innovation and business success.

  • Bloor Spotlight: Managing Data Lakes

    Read Bloor Research’s “Managing Data Lakes” and learn to maximize productivity and collaboration—while optimizing total cost of ownership (TCO).

  • Shining Light on Dark Data

    Unused, hidden, or siloed data represents a huge missed opportunity for many organizations. Learn how you can identify, access, analyze, and protect this data in your business and turn it to your advantage.

  • The Ultimate Guide to Data Catalogs

    Eckerson Group research into how to evaluate enterprise data catalogs for analytics to support self-service analytics, data governance, metadata management.

  • Unleash the Full Power of Data

    With this eBook from Informatica and Microsoft, you’ll learn how to turn data into a self-service resource using an intelligent, cloud-based data lake.

  • Big Data Analytics

    Leverage the power of big data analytics in traditional data warehouses, cloud, social channels and sensors with Informatica's scalable platform.

  • Big Data Management

    Accelerate productivity, performance, data integration, and deployment with Informatica Big Data Management, the industry’s most advanced data management product.

  • Big Data Streaming

    With Informatica Big Data Streaming you can sense, reason, and act on trusted data all within the context of business rules and real-time analytics models.

  • Big Data Quality Tools

    Optimize the process and standards for your business with Informatica's integrated platform of big data quality software and tools.

  • Informatica Big Data Certification

    Become certified in Big Data learning how to start extracting real business value from big data as an Informatica Certified Specialist.

  • 365onDemand Big Data and EDC Annual Subscription

    Gain the skills and knowledge necessary to ingest, stream, prepare, catalog, and utilize big data for your projects. Develop your core Informatica Intelligent Big Data, Data Catalog, and Data Lake skills to use, develop, and maintain an Intelligent Big Data environment for the Enterprise.

  • Big Data Developer, Specialist Certification - Certification

    This test measures your competency as a Developer utilizing Big Data to include basics such as application services, Hadoop, complex file parsing, the mechanics of data integration using developer tool. Test your knowledge of Big Data Streaming, mappings, Kafka, monitoring, troubleshooting.

  • Big Data for Developers - Instructor Led

    This course is applicable for software version 10.2.2. Learn to accelerate Big Data Integration through mass ingestion, incremental loads, transformations, processing of complex files, and integrating data science using Python. Optimize the Big Data system performance through monitoring, troubleshooting, and best practices while gaining an understanding of how to reuse application logic for big data use cases.

  • Big Data for Developers

    This course is applicable to software version 10.1. Discover how to leverage Informatica Big Data Management for the optimization of data warehousing by offloading data processing to Hadoop.

  • Big Data Management 10.1 : New Features

    An introduction to the new features in Informatica Big Data Management version 10, designed for those already familiar with the Informatica Developer client and Big Data Edition version 9. Learn the Parameters, Dynamic Mappings, Partitioning, Data Processor Transformation, and Big Data. This course is applicable to software version 10.

  • Big Data Management 10.1, Specialist Certification

    This exam measures your competency in utilizing PowerCenter mappings and workflows at basic and advanced levels in order to perform data integration on Big Data. It will test your ability to integrate PowerCenter with Hadoop clusters and the related Hadoop ecosystem.

  • Big Data Management for Administrators

    Applicable for users of software versions 10.x. Set up a live BDM environment by performing various administrative tasks such as Hadoop integration, configuration of the Distribution package, security mechanism set up, and performance tuning. Learn to integrate the Informatica domain with the Hadoop eco-system leveraging Hadoop’s lightning processing capability to churn huge data sets

  • Big Data Streaming for Developers - Instructor Led

    This course is applicable to software versions 10.2.1 and forward. Gain the skills necessary to execute end-to-end big data streaming use cases. Learn to prepare, process, enrich, and maintain streams of data in real time using Informatica, Edge, Kafka, and Spark.

  • Data Warehouse Academy - onDemand

    Data Warehouse Optimization Modern Data Architecture is a series that works to introduce people, process and technology optimization needed and the required data preparation skills. An overview on JSON, HParser, Foundation, Parallel Testing, Aggregate Tables, Complex Files and Weblogs are included in the series.

  • Enterprise Data Catalog: Configuration and Maintenance - Instructor Led

    This course is applicable for software version 10.2.1. Gain the skills and knowledge necessary to install, configure, and maintain an Enterprise Data Catalog (EDC) environment. Using the Catalog Administrator, learn to manage and monitor resources, schedules, attributes, and connections for initial implementation and ongoing system maintenance.

  • Enterprise Data Catalog: Configuration and Maintenance - ondemand

    This course is applicable for software version 10.2. Gain the skills and knowledge necessary to install, configure, and maintain an Enterprise Data Catalog (EDC) environment. Using the Catalog Administrator, learn to manage and monitor resources, schedules, attributes, and connections for initial implementation and ongoing system maintenance.

  • Enterprise Data Catalog: Data Discovery and Lineage Analysis - Instructor Led

    This course is applicable for software version 10.2.2. Gain the skills necessary to use Enterprise Data Catalog (EDC) to discover and explore datasets. Using EDC, learn to perform semantic search, customize searches, analyze data lineage and impact, associate assets with existing business terms from the Business Glossary, and add custom attributes to assets.

  • Enterprise Data Catalog: Data Discovery and Lineage Analysis - onDemand

    This course is applicable for software version 10.2. Gain the skills necessary to use Enterprise Data Catalog (EDC) to discover and explore datasets. Using EDC, learn to perform semantic search, customize searches, analyze data lineage and impact, associate assets with existing business terms from the Business Glossary, and add custom attributes to assets.

  • Enterprise Data Lake for Analysts

    This course is applicable for software version 10.2.1. Gain the required knowledge and skills to transform, cleanse, and enrich data in the data lake using an Excel-like spreadsheet interface in a self-service manner. Using Informatica Enterprise Data Lake, publish and share knowledge with the rest of the community to analyze the data using third-party BI or analytic tools.

  • Informatica Business Transformation Toolkit BOST Orientation

    Informatica’s Introduction to BOST™ course provides an overview of the BOST approach to architecture-led planning. Intended for business, systems, and technology architects/planners, and their managers, interested in learning about the BOST approach and how it relates to their leadership responsibilities and for those who are about to participate in a BOST planning engagement.

  • Informatica Developer Tool for Big Data Developers

    This course is applicable to software version 10. Learn the mechanics of Data Integration using the Informatica Developer tool for Big Data Development. This course takes you through the key components to develop, configure, and deploy data integration mappings.

  • Informatica Learning Library - Subscription

    Register for one year access to all onDemand training; Informatica’s catalog of self-paced classes that blend engaging multimedia and simulations that enable you to learn about using Informatica products, supplement your existing skills or download tips and tricks from our growing library. The purchase of this subscription includes 60 lab hours for exercises where you can practice lab exercises, keep your skills fresh or try out new ideas inspired from course learning.

  • Informatica MasterPass Education Subscription

    The Informatica MasterPass Education Subscription is your access to any and all official Informatica education public events and courses. Develop your expertise across the Informatica platform to become a true master of enterprise data management and intelligent disruption. This annual subscription program entitles a single individual to attend any public class in the world and access to any onDemand or eLearning course during their subscription. It is a true 24x7 education program for the individual intent on developing their ability and career to the level of Subject Matter Master.

  • Intelligent Data Lake: Fundamentals for Analysts - onDemand

    A fundamental overview of the methods used to discover data, and prepare data assets for actionable insights. Discover how to use a platform to enhance the data discovery and analysis experience while turning data into valuable data assets. This course is applicable for Version 10.1.1.

  • Introduction to Enterprise Data Catalog - onDemand

    Enterprise Data Catalog (EDC) enables students to use the tool to discover data, and relate to the data with lineage and relationships. Learn the key features of the tool such as data discovery, intelligent semantic search, metadata extraction, data profiling, and lineage, which makes working with data a smooth process. This course is applicable to software version 10x.

  • Lab Forum for OnDemand Students- Instructor Led

    Come join us for a FREE session designed to help improve your learning experience with a live question and answer session. This clinic is designed to allow you to drop in, asks questions on the onDemand content and labs, specific to the course you purchased. You are not required to attend the entire session. Questions within the clinic will be addressed first come, first serve within the call

  • PowerCenter Migration to BDM

    This course is applicable for software version 10.2.1. Gain an understanding of how to reuse application logic for big data use cases.