Big data analytics platform, Sybase IQ 15.4 Express Edition, is now available for free. This article introduces Sybase IQ's big data features and shares some valuable resources with you. Sybase IQ, with its installation base of more than 4,500 clients all over world has always been a leading columnar database for mission critical analytic functions. With new features like native support for Map Reduce and in-database analytics, it  positions itself as a premium offering for big data analytics.

 

Columnar databases have been in existence for almost 2 decades now. Row level databases for OLTP transactions and Columnar databases for analytics, more or less met requirements of organizations. Extracting, transforming and loading (ETL) transactional data into analytic platform has been a big business. However, the recent focus on big data and the nature of it (semi-structured, unstructured) is changing the landscape of analytic platforms and the way ETL is used. Boundaries between OLTP and analytic platform are somewhat blurring due to advent of real-time analytics.

 

Due in large part to the tremedous growth of ecommerce in recent years, much of the developer talent pool was attracted to low-latency and high throuput transactional systems. Without a doubt, the same pool is gravitating towards aquisition, management and analysis of semi-structured data now. Host of start-ups and established technology companies are creating new tools, methods and methodologies in an effort to address the data deluge we are generating from our use of social networks. Even if there are myriad of options available to handle big data and analytic, some clear trends or underlying technologies have emerged to the fore. Hadoop, the open source implementation for batch operations on big data and in-memory analytic platform to provide real-time business intelligence are two of the most significant trends. Established vendors like Oracle, IBM, Informatica have been adding new products or updating their existing offerings to meet the new demands in this space.

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