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Infobright is a commercial provider of column-oriented relational database software with a focus in machine-generated data. The company's head office is located in Toronto, Canada. Most of its research and development is based in Warsaw, Poland. Wikipedia.


In a method for storing data in a relational database system using a processor, a collection of values is assigned to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, and predetermined information about structures relevant to data content that is stored in the system. For each structure in the structure dictionary, a structure match list is formed from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor. An outlier match list is formed from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary. The collection of values is stored in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection.


In a method for storing data in a relational database system using a processor, a collection of values is assigned to a structure dictionary, wherein each of the values represents the value of a row for an attribute and has a unique ordinal number within the collection, and wherein the structure dictionary contains structures defined based on at least one of interaction with a user of the system via an interface, automatic detection of structures occurring in data, and predetermined information about structures relevant to data content that is stored in the system. For each structure in the structure dictionary, a structure match list is formed from ordinal numbers of values matching the structure, and a structure sub-collection from values matching the structure, using the processor. An outlier match list is formed from ordinal numbers of values that are not null and do not match any structure in the structure dictionary, and an outlier sub-collection from values that are not null and do not match any structure in the structure dictionary. The collection of values is stored in the relational database in a form of structure match lists, structure sub-collections, outlier match list and outlier sub-collection.


A method of resolving data queries in a data processing system. The method comprises receiving in the data processing system a data query, where the data processing system stores a plurality of information units describing pluralities of data elements, a first information unit having a retrieval subunit that includes information for retrieving all unique data elements in a first plurality of data elements and a summary subunit including summarized information about data elements in the first plurality of data elements. The method further includes deriving, via the data processing system, a result of the data query, wherein the result of the data query comprises a plurality of new data elements. The data processing system uses summary subunits of information units to select a set of information units describing data elements that are sufficient to resolve the data query.


A method for applying adaptive data compression in a relational database system using a filter cascade having at least one compression filter stage in the filter cascade. The method comprises applying a data filter associated with the compression filter stage to the data input to produce reconstruction information and filtered data, then compressing the reconstruction information to be included in a filter stream. The filtered data is provided as a compression filter stage output. The method may comprise evaluating whether the compression filter stage provides improved compression compared to the data input. The filter stage output may be used as the input of a subsequent compression filter stage.


News Article | April 10, 2015
Site: www.eweek.com

RICK ABBOTT BIO: Rick Abbott is President of 360DegreeView, LLC. Rick has over 19 years of information management and technology experience, including private and public sector work. On the commercial side, Rick has significant experience in both the telecommunications and financial services industries. Rick has over eight years of "Big 5" experience, including an associate partnership position with Deloitte Consulting. Rick's primary focus over the past 13 years has been on large-scale business intelligence initiatives. He has direct experience in all aspects of business intelligence and data warehouse projects including business case development, strategic planning and business alignment, business requirements, and technical architecture and design. He possesses over 10 years of large, IT-related project management experience. Rick also has significant experience in assisting clients in negotiating large technology product, service, and outsourcing contracts. Read Rick's blog at www.360degreeinsight.com. He can also be reached at rick@360degreeview.com.================================================================================BOB ZUREK BIO: Bob Zurek is Chief Technology Officer and Vice President of Product Management at Infobright. Bob is also responsible for client services including sales engineering and implementation services. Bob has over 25 years of proven success in software development, technology research, and product management. He also possesses deep expertise in database management systems, business intelligence, and open-source technologies. Prior to joining Infobright, Bob was vice president of products and CTO at EnterpriseDB. While at EnterpriseDB, Bob led the company's technology and product management operations for their open-source product line. Prior to EnterpriseDB, Bob held management positions at IBM, Ascential Software and other technology companies where he consistently demonstrated the ability to define and deliver market-leading products with strong competitive differentiation. Read Bob's blog at http://www.infobright.org/Open-source/Blog/bob_zureks_blog. He can also be reached at bob.zurek@infobright.com.

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