1 WHITE PAPER LOWER COSTS, INCREASE PRODUCTIVITY, AND ACCELERATE VALUE, WITH ENTERPRISE- READY HADOOP
2 CLOUDERA WHITE PAPER 2 Table of Contents Introduction 3 Hadoop's Role in the Big Data Challenge 3 Cloudera: The Leading Hadoop Distribution 4 Informatica: Discover Insights and Innovate Faster on Hadoop 5 Data Warehouse and ETL Optimization with Cloudera and Informatica 6 eharmony Embraces Big Data with Cloudera and Informatica 7 The Cloudera/Informatica Advantage 8 Conclusion 9
3 CLOUDERA WHITE PAPER 3 Introduction Organizations increasingly recognize the potential of big data to transform their business improving customer retention and acquisition, increasing operational efficiencies, enabling better products and service delivery, and generating new business insights. Cost-effectively harnessing terabytes or petabytes of big data requires a new approach that extends current technologies. The limitations of traditional data infrastructures render them unsuitable for the extreme scale of big data processing and storage. The open source Hadoop framework and advanced data integration technology are critical components in a growing number of big data initiatives for both processing and storing data in Hadoop at dramatically lower costs. This white paper outlines how organizations can realize big data s promise by combining Cloudera Enterprise, an open-source Hadoop distribution and associated tools and services, and the Informatica Platform. The Informatica Platform can access all types of data, move up to terabytes per hour into Hadoop, parse, cleanse and transform data on Hadoop, and deliver insights from Hadoop at any latency across the enterprise. Over several years, Cloudera and Informatica have collaborated at a technological level to optimize interoperability between the joint solutions. As respective leaders in Hadoop products and services and enterprise data integration, the Cloudera and Informatica partnership can equip your organization with proven technology and services expertise to maximize your return on big data. Hadoop is ideally suited for complex data analytics and largescale data storage and processing. Hadoop s Role in the Big Data Challenge Growth in data volumes, variety, and velocity is hitting the limits of existing information management infrastructures, forcing companies to invest in more hardware and costly upgrades of databases and data warehouses. In many cases, adding traditional data infrastructure is impractical because of high costs, scalability limitations when dealing with hundreds of terabytes, and incompatibility of relational systems with unstructured big data. Organizations are implementing innovative approaches to handling growth in both big transaction data (data warehouses, ERP applications, and OLTP systems) and big interaction data (from social media, web clickstreams, call detail records [CDRs], sensors and devices, and more). Beyond handling growth, they seek a solution capable of integrating traditional structured, multistructured, and unstructured data to gain insights not otherwise possible. Enter Hadoop. Cloudera chief architect Doug Cutting founded the Apache Hadoop project to address the inability of traditional systems to handle the explosion of data on the Web. It enables distributed, fault-tolerant, parallel storage, processing, and analysis of huge amounts of multistructured data across highly available clusters of inexpensive industry standard servers. Hadoop is ideally suited for complex data analytics and largescale data storage and processing, often at 10 to 100 times less cost than traditional systems. Given its unique strengths, many organizations are offloading between 20 percent and 50 percent of processing and storage to Hadoop systems.
4 CLOUDERA WHITE PAPER 4 Cloudera supplies the Industry s leading Hadoop distribution, as well as a comprehensive set of tools and services. Cloudera: The Leading Hadoop Distribution With customers including ebay, Samsung, Chevron, Nokia, and JP Morgan Chase & Co., Cloudera supplies the industry s leading Hadoop distribution as well as a comprehensive set of tools and services to effectively operate Hadoop as a critical part of a technology infrastructure. Its Cloudera Enterprise offering includes: > CDH: Cloudera s 100 percent open source platform based on Apache Hadoop delivers the core elements of Hadoop scalable storage and distributed computing plus capabilities for security, high availability, fault tolerance, load balancing, compression, and integration with software and hardware solutions from partners such as Informatica. The CDH distribution is strengthened by a bundle of more than a dozen open source projects including a nonrelational database, workflow orchestration, cloud integration, and machine learning libraries to help maximize the performance and value of a Hadoop deployment. > Cloudera Impala: As the industry s first native real-time SQL query engine for Apache Hadoop, Impala is the newest component of CDH. Impala completely changes the way organizations can benefit from Hadoop, including: > Data processing workload acceleration, with data pipelines that last seconds instead of minutes or hours, to meet tighter service-level agreement (SLA) specifications. > Interactive business intelligence with popular tools. This opens up real-time access to big data to every analyst in the organization, without requiring any special Hadoop training, significantly lowering the adoption risk of a big data project and accelerating return on investment (ROI). > Reduced overall cost of data management. Instead of replicating large amounts of data to a relational database to get interactive SQL performance, Cloudera customers can obtain the same experience without added cost or complexity. > Cloudera Manager: Cloudera s Hadoop management platform supplies a central point for administration across a CDH cluster. The application automates installation to reduce deployment time from weeks to minutes, provides a cluster-wide, real-time view of nodes and services running, enables configuration changes from a single control console, and delivers reporting and diagnostic tools for troubleshooting and optimization. > Cloudera Support: Cloudera offers the industry s highest quality technical support for Hadoop, with a team of support engineers composed of contributors and committers for every component of CDH. No one knows the Hadoop stack better or has more experience supporting large-scale clusters in production. With Cloudera Support, customers experience more uptime, faster issue resolution, and better performance.
5 CLOUDERA WHITE PAPER 5 The Cloudera/Informatica solution enables organizations to utilize their existing Informatica-trained professionals Informatica: Discover Insights and Innovate Faster on Hadoop For all its advantages in data processing and storage, Hadoop stands to become another data silo without data integration or other complementary technology to unlock the business value of big data. In a number of early deployments, some enterprises resorted to time-consuming hand coding for a range of data process requirements, despite high costs and downstream maintenance headaches. Informatica addresses the need for a codeless environment for extract, transform, and load (ETL) workloads on Hadoop, with a range of innovative Informatica Platform technologies that enable organizations to use their existing Informatica-trained professionals or find the requisite skills from a global pool of more than 100,000 developers trained on Informatica technology. Informatica capabilities for Hadoop include: > GUI-based development: Most Hadoop development today is performed by hand in a manner very similar to the way ETL code was developed a decade ago before ETL tools such as Informatica PowerCenter were created. Graphical codeless development has already proven to reduce development time by as much as fivefold while identifying data errors not caught by hand coding Hadoop. > Universal data access: Organizations use Hadoop to store and process a variety of diverse data sources and often face challenges in combining and processing all relevant data from their legacy data sources and new types of data. The Informatica Platform helps organizations achieve ease and reliability of pre- and postprocessing of data into and out of Hadoop. > High-speed data ingestion: Access, load, transform, and extract big data between source and target systems or directly into Hadoop or your data warehouse. Replicate hundreds of gigabytes to terabytes per hour from source systems to Hadoop. > Data archiving: Archive data directly to Hadoop. Informatica helps to automate complex partitioning based on related tables or entities, not just individual tables, using the underlying database partitioning capabilities. Archive inactive data from production databases and data warehouses to extend their capacity and avoid costly upgrades. > Data parsing and exchange: Hadoop excels at storing a diversity of data, but the ability to derive meanings and make sense of it across all relevant datatypes is a major challenge. Informatica technology helps improve productivity for extracting greater value from unstructured data sources including images, texts, binaries, and industry standards. > Comprehensive data transformations: The Informatica Platform provides an extensive library of prebuilt transformation capabilities on Hadoop, including basic datatype conversions and string manipulations, high-performance caching-enabled lookups, joiners, sorters, routers, aggregations, and many more. Perform natural language processing to extract entities from unstructured data such as from s, social data, and documents used to enrich master data. > Metadata management: Informatica supplies full metadata management capabilities, with data lineage and auditability, and promotes standardization across heterogeneous data environments.
6 CLOUDERA WHITE PAPER 6 > Data quality and data governance: Many organizations use Hadoop for end-user reporting and analytics that require high data quality. Informatica technology furnishes capabilities to profile, cleanse, and manage data to better understand what data means, increase trust, and manage data growth effectively and securely. > Data profiling: Profile data directly on Hadoop both through the Informatica developer tool and a browser-based analyst tool. This ability makes profiling data faster and more scalable, as well as easier for developers, analysts, and data scientists to collaborate on data flow specifications and validate mapping transformation and rules logic. > Data virtualization: Use data virtualization to provide a fine-grained secure access layer that combines data on Hadoop with other information management systems such as your data warehouse, MDM, or application databases. The Cloudera/Informatica solution helps organizations address the challenges of traditional environments through unlimited scalability, cost-effective performance, while lowering costs between 10 to 100 times and increasing productivity up to 5 times Data Warehouse and ETL Optimization with Cloudera and Informatica Through technology and professional services, Cloudera and Informatica offer enterprises a fast, repeatable process to optimize data warehouse and ETL processing and storage that maximizes the ROI of existing information management infrastructure and the high performance and cost-effective benefits of Hadoop. The challenges that motivate shifting data processing and data volumes to Hadoop include the following four: > As data volumes and business complexity grows, ETL and ELT processing is unable to keep up on conventional relational database technology. Critical business windows are missed. > Databases are designed to primarily load and query data, not transform it. Transforming data in the database consumes valuable CPU, making queries run slower, which impacts BI users experience. > Conventional databases are expensive to scale as data volumes grow. Therefore, most organizations are unable to keep all the data they would like to analyze directly in the data warehouse. As a result, they end up throwing away the data or moving data to more affordable off-line systems, such as a storage grid or tape backup. It s very common to hear: We want to analyze three years of data but can only afford three months. > Traditional data management infrastructure is not as flexible to change as data volumes grow and new datatypes emerge (e.g., machine data, documents, and social media). Change requests to schemas and reports can take weeks or even months, leaving the business to fend for itself. Hadoop provides the flexibility to cost-effectively work with more data and more types of data and to perform more flexible analysis, enabling the business and IT to be more agile.
7 CLOUDERA WHITE PAPER 7 Consulting and tools such as Informatica s Data Warehouse Advisor, software that monitors how businesses use data, can help organizations evaluate their current cost of data storage, processing capacity, and performance bottlenecks, plus raw or dormant data that could be more cost-effectively managed in Hadoop. The PowerCenter Big Data Edition supplies a visual no-code development environment to build and execute ETL transformations on Hadoop. It also enables developers to do complex file parsing (e.g., Web logs, JSON, and XML), data profiling, and entity extraction for unstructured text (e.g., natural language processing) on Hadoop. The PowerCenter Big Data Edition includes connectivity to traditional relational databases, social data for Facebook, Twitter, and LinkedIn, and many other capabilities. The Cloudera/Informatica solution helps organizations address the challenges of traditional environments through unlimited scalability, cost-effective performance, lower costs between 10 to 100 times, and increased productivity up to 5 times. Informatica technology enables developers to build and deploy data transformations and data flows on Hadoop without hand codingand offers a variety of data movement capabilities, including data replication, batch, trickle feed, and streaming, with scalability to move up to terabytes per hour into Hadoop and out of Hadoop. Cloudera consultants provide expertise in configuring, managing, and tuning a CDH cluster, with knowledge transfer to ensure sustainability and extensibility in the years to come. eharmony, the popular on-line dating site, is a good example of an enterprise capitalizing on the capabilities of a joint Cloudera/Informatica solution. The Cloudera/Informatica solution gives eharmony greater speed and agility in embracing big data to meet business demands eharmony Embraces Big Data with Cloudera and Informatica eharmony founded in 2000 and now resulting in an average of 542 marriages a day in the United States deployed the Cloudera CDH Hadoop distribution as the analytics platform to run proprietary algorithms that processed data to generate compatibility matches. The company s problem was that reliance on Ruby scripting to transform hierarchical JSON data in Hadoop for use by its data warehouse was time-consuming for both script development and processing; it also could not scale to an expected fivefold increase in data volumes. eharmony turned to HParser, Informatica s data transformation environment optimized for Hadoop, to take full advantage of Cloudera CDH and cut data processing time by four times. Replacing Ruby scripting to process JSON data held in Hadoop, HParser introduced advanced data parsing capabilities into the CDH environment, eliminating tedious script development while slashing big data processing time from 40 minutes to 10 minutes. With the move, eharmony extended its existing investment in Informatica PowerCenter, which loaded up to 7 TB a day into the data warehouse from conventional sources, to add HParser s capabilities to handle JSON, XML, Omniture Web analytics data, log files, Word, Excel, PDF and other files, as well as industry-standard file formats (e.g., SWIFT, NACHA, and HIPAA). The joint Cloudera/Informatica solution gives eharmony greater speed and agility in embracing big data to meet business demands for instance, generating compatible matches almost immediately after a new member joins.
8 CLOUDERA WHITE PAPER 8 The Cloudera/Informatica solution offers distinct advantages in enabling organizations to realize the promise of big data The Cloudera/Informatica Advantage A joint Cloudera/Informatica solution offers distinct advantages in enabling organizations to realize the promise of big data: > Accelerates adoption of Hadoop by leveraging existing Informatica skill sets, letting customers design in Informatica, reuse existing work, and run on CDH > Expands Hadoop s connectivity and processing capabilities through a rich set of prepackaged data integration functionality > Lowers costs of data processing and storage by allowing Informatica tasks best suited for Hadoop to run on CDH > Increases developer productivity with a metadata-driven graphical environment on a flexible and scalable data platform > Enables unified monitoring and management of data integration across Hadoop and other systems using Informatica s unified administration and Cloudera Manager > Allows data governance across all data assets including data on Hadoop
9 CLOUDERA WHITE PAPER 9 Conclusion Effectively harnessing big data promises quantifiable benefits to organizations. Beyond offloading data storage and preprocessing from expensive database and data warehouse platforms to Hadoop for staging and ETL, financial services companies can improve fraud detection processes and risk and portfolio analysis. Telcos can process massive volumes of CDRs to improve customer support and provide new location-based services. Manufacturers can leverage big data from machine device sensors to improve product quality and predictive maintenance. Retailers can use big data to make next-best offer recommendations to increase customer up-sell and cross-sell. An analytics-ready Hadoop platform and advanced data integration are critical technologies to take full advantage of big data. With Cloudera and Informatica, enterprises have proven solutions and services to maximize their big data returns by successfully leveraging Hadoop as one part of their overall data integration infrastructure. Learn more at and About Cloudera Cloudera, the leader in Apache Hadoop-based software and services, enables data driven enterprises to easily derive business value from all their structured and unstructured data. As the top contributor to the Apache open source community and with tens of thousands of nodes under management across customers in financial services, government, telecommunications, media, web, advertising, retail, energy, bioinformatics, pharma/healthcare, university research, oil and gas and gaming, Cloudera's depth of experience and commitment to sharing expertise are unrivaled. Cloudera provides no representations or warranties regarding the accuracy, reliability, or serviceability of any information or recommendations provided in this publication, or with respect to any results that may be obtained by the use of the information or observance of any recommendations provided herein. The information in this document is distributed AS IS, and the use of this information or the implementation of any recommendations or techniques herein is a customer s responsibility and depends on the customer s ability to evaluate and integrate them into the customer s operational environment. Cloudera, Inc. 220 Portage Avenue, Palo Alto, CA USA or cloudera.com 2013 Cloudera, Inc. All rights reserved. Cloudera and the Cloudera logo are trademarks or registered trademarks of Cloudera Inc. in the USA and other countries. All other trademarks are the property of their respective companies. Information is subject to change without notice.
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