Oracle Exadata And Netezza Twinfin Compared

Netezza focuses on technology designed to query and analyze big data. The company's innovative data warehouse appliances are disrupting the market. Wishing to exploit data at lower costs of operation and ownership, many of our customers have moved their data warehouses from Oracle. Oracle has now brought Exadata to market; a machine which apparently does everything TwinFin does, and also processes online transactions. This examination of Exadata and TwinFin as data warehouse platforms is written from an unashamedly Netezza viewpoint, however to ensure credibility we have taken advice from Philip Howard, Research Director of Bloor Research and Curt Monash, President, Monash Research. To innovate requires us to think and do things differently, solving a problem using new approaches. Netezza focuses exclusively on customers needs and wants for data warehousing. TwinFin delivers excellent performance for our customers' warehouse queries. TwinFin offers customers simplicity; anyone with basic knowledge of SQL and Linux has the skills needed to perform the few administrative tasks required to maintain consistent service levels through dynamically changing workloads. TwinFin's performance with simplicity reduces their costs of owning and running their data warehouses. More important, our customers create new business value by deploying analytic applications which previously they considered beyond their reach. "Netezza was part of the inspiration for Exadata. Teradata was part of the inspiration for Exadata," acknowledged Larry Ellison on January 27, 2010. We'd like to thank them for forcing our hand and forcing us go into the hardware business. While delivered with Larry Ellison's customary pizzazz, there is a serious point to his comment: only the best catch Oracle's attention. Exadata represents a strategic direction for Oracle; adapting their OLTP database management system, partnering it with a massively parallel storage system from Sun. Oracle launched Exadata V2 with the promise of extreme performance for processing both online transactions and analytic queries. That Oracle excels at OLTP is a given. But data warehousing and analytics make very different demands of their software and hardware than OLTP. Exadata's data warehousing credentials demand scrutiny, particularly with respect to simplicity and value. This eReport opens by reviewing differences between processing online transactions and processing queries and analyses in a data warehouse. It then discusses Exadata and TwinFin from perspectives of their query performance, simplicity of operation and value. All we ask of readers is that they do as our customers and partners have done: put aside notions of how a database management system should work, be open to new ways of thinking and be prepared to do less, not more, to achieve a better result. One caveat: Netezza has no direct access to an Exadata machine. We are fortunate in the detailed feedback we receive from many organizations that have evaluated both technologies and selected TwinFin. Given Oracle's size and their focus on Exadata, publicly available information on Exadata is surprisingly scarce. The use cases quoted by Oracle provide little input to the discussion, which in itself is of concern to several industry followers, e.g. Information Week. The information shared in this paper is made available in the spirit of openness. Any inaccuracies result from our mistakes, not an intent to mislead.

Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

You can build a world-class SOA infrastructure entirely using popular, andmature, open-source applications. Unfortunately, the technical documentationfor most open-source projects focuses on a specific product, the big SOA picture.You're left to your own devices to figure out how to cobble together a fullsolution from the various bits. In other words, unless you already know howMule and Tuscany work with jBPM, you're stuck. Open Source SOA shows readers how to build an entire SOA application usingopen-source technologies. It shows readers how to apply key ideas like EnterpriseService Bus (ESB) design and Business Process Management (BPM) and learnthe tools and techniques to implement them effectively. To pull everything together, the author describes real-life case studies from hisown work to tie together all the principles and practices. These hard-to-find casestudies are pure gold for the reader, as most developers keep these trade secretsto themselves. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Welcome to the Underground! Newly Revised for 2014, for IBM PureData for Analytics Powered by Netezza Technology, including TwinFin and Striper. Ever wanted to know more about the most powerful data processing technology on the planet? Look no further than this foray into the simplest, most effective and easiest-to-implement data appliance that the marketplace has to offer. Get some insight into the data warehousing principles that spawned the genius inside "the machine," how to leverage it to meet critical deadlines, and how to put some serious processing juice to work on a large-scale problem domain. Need some gravity-bending power to shape and mold whole terabytes-at-a-time like they were so much warm cookie dough? Inside are some tricks, tips and opinions on how to make a smooth and clean transition from an underpowered - er - overwhelmed data processing system and into the future of a quietly running appliance - that can inhale and exhale data at scales that will blow your mind. Okay, enough of the hype. Just crack the pages and get moving. This book is for those who already have a machine (and those who might want to just kick the tires). But keep in mind, once you kick the tires, you'll want one. Maybe two. Big Data. Complex Data. It's what's for dinner!

Big Data. Complex Data. It s what s for dinner!

Chemical and Synthetic Biology Approaches to Understand Cellular Functions - Part C, Volume 633, the latest release in the Methods in Enzymology series, continues the legacy of this premier serial. This release includes sections on Next generation probes for molecular imaging in cells, Competitive binding assay for biotin and biotin derivatives, based on avidin and biotin-4-fluorescein, Converting avidin to bind ligands other than biotin, especially steroids, Chemoenzymatic Labeling Strategy, Engineered Siderophores, Small molecules to inhibit bacterial population behavior, NMR tube bioreactor, Small molecule controlled RAS activation system, Small molecule regulated Cas9, the Design and application of synthetic receptors, and much more.

Providing expert knowledge about the features in the new release of DB2 for z/OS, this extensive guide details the innovations of DB2 10's SQL and pureXML enhancements--which increase productivity, enhance performance, and simplify application ports. DB2 for z/OS continues to be the undisputed leader in total system availability, scalability, security, and reliability at the lowest cost per transaction. This resource focuses on the features and functions of DB2 10 for IT, including improving operational efficiencies and reducing costs, as well as covering innovations in resiliency for business-critical information, rapid application and warehouse deployment for business growth, and enhanced business analytics and mathematical functions with QMF.