Primary Point Data Integration requires the use of multiple techniques. Multiple techniques involve multiple vendors today forcing the customer to deal with multiple models, management and metadata management tools. and SY aims to provide comprehensive support for all techniques with a suite, which will address the technology disparities introduced by multiple vendor solutions Details A key thing to understand is the different between techniques, technologies and products when looking at IT. Replication server is a product, Replication is a technology, Distribution is a technique and Reporting is an application. It is key to differentiate between technique and technology. In almost all data integration cases, for instance data integration for analysis use cases, customers tend to use a mix of technologies. IN this use case above what you find is the usage of ETL and Replication to stage data. Replication is preferred mechanism to stage data if you cant afford to impact the systems, if the systems are idle at night then one can run a nightly ETL job to get the data to a staging area. In the staing area one uses profiling and cleansing technologies to make the data ready for a datawarehousing before bulk loading it into the warehsouse. The reporitng tools and dashboards then leverage this sanitized data for decision making. In this architecture today, customers are forced to go to go to different vendors to get technologies for the different techniques they choose. For instance Replication is purchased from one vendor and then ETL from another. Since these come from different vendors there is no common sharing of metadata, modeling or even management. This adds to cost and complexity To address this specific issue , SY is combining its data integration technologies into a suite, such that a customer can decide on choosing a technique that is most suitable for his task without worrying about the technologies and products. Let’s take a look at the suite
Primary Point: Analysis in organizations require a combination of technologies but the heart of fast adhoc analysis is an analysis store. Details Let us take a look at a classic customer scenario focused on informed decision making. In many financial organizations that manage risk, today risk is managed at different levels. Each segement tends to create its own data mart, duplicating reference data and deal/market data. This duplication adds to complexity and increases the cost. So many customers are looking at creating a single datamart that will the repository of the truth, and provide access to all types of analysis engines while providing very good performance. The key requirements are adhoc analysis, complex queries, very good performance. Sybase IQ is our analysis store which meets all these requirements and significantly helps reduce cost by compressing data. In this particualr example multiple engines get to look at different views of data, while all of them leverage one common reference data. Finally a key thing with analysis is distribution of information for decision making And Sybase provides technology, today as part of our data integration capability to provide a uniform way to distribute information to myriad users and devices. let me tell you a bit more about our success in the analysis area with our IQ datastore
Creating an Information Edge— Today Innovative technology built upon more than 20 years of experience in creating industrial-strength information management and information mobility solutions that deliver world-class performance and reliability Open and secure software solutions that work across platforms, applications and devices High standards of business integrity toward our customers, partners, employees and competitors
Informed Decision Making Shailesh Mungikar Sr. Staff Engineer, Business Intelligence Group, Sybase, Inc. Sybase Confidential Proprietary .
Informed Decision Making From Fairy Tale to Nightmare I absolutely need to understand how my company behaves OK guys, Let’s see how we can satisfy our users IT will analyze the problem using its own vision … We will need an ETL to store the data in our RDBMS. We will need a query tool to retrieve the data from our RDBMS. … And will use the company’s standard RDBMS Well, IT built something that works, but… … what is the exact cost of this ? The infrastructure is very expensive. We have a very few users and they complain …
The issue is about using something to do what it was designed for…..
Rather than starting with something that was not and creating a monster!
Informed Decision Making Data Integration Analytics Server Reporting Analytics Ad-hoc Custom Operational Systems Infrastructure for Informed Decision Making Applications to assist Informed Decision Making
Data Integration Using Multiple Techniques in Tandem COSMOS Smart Stream ESA Others Staging Area Data Warehouse Desktop Handheld DW Staging Tables Reporting Tools Data Mining Tools Dashboards /Portals M-Business Mobile Server WiFi GPRS Sources Star Schema Data Storage Presentation Presentation Data Acquisition Data Cleanse/ Transform Replication ETL Replication ETL ASIQ Bulk Load
Data Integration Suite For Heterogeneous Environments Search ETL Real-Time Events Data Federation EII Replication Federation Consolidation Distribution Sybase Value Proposition Integrated Administration Integrated Modeling, Metadata and Development Available Today Available as DI Suite Q4’07
Specialty analytics store capable of handling large volumes of data and servicing in real-time complex queries for risk management
Information delivery to heterogeneous users and devices Information Delivery Multiple users of datamart with different views all accessing same reference data Extract / Transform / Load (ETL) Tool Information Delivery