Melissa Data, a provider of contact data quality and address management solutions for over 25 years, recently announced the release of its MatchUp tool for SQL Server Integration Services. The latest offering from Melissa Data enhances the process of detecting and eliminating duplicate records, and it adds to the company’s vast portfolio of products that has earned it a solid reputation amongst its over 5,000 clients.
Contributed by wubayou Rating: / 1 January 19, 2012
MatchUp for SQL Server Integration Services is equipped with several features to help businesses improve database efficiency when it comes to their contact records. Users can define specific criteria to eliminate any duplicate records for existing or prospective customers to provide a clearer view of each situation. MatchUp offers an extensive list of over 35 components that can be combined to identify matches. Users can call on common search elements such as name, phone number, or address to look for matches, or they can rely on more obscure elements such as gender, company, or email address.
The release of MatchUp adds to a pair of pre-existing tools from Melissa Data that specialize in contact data cleanup. The company’s Contact Verify solution allows users to parse, standardize, and verify various critical data items, such as names, street addresses, telephone numbers, and email addresses. Contact Verify also supplies users with address geocoding complete with latitude and longitude coordinates. Melissa Data’s other pre-existing data cleansing tool, SmartMover, offers updated addresses for customers that have moved within the last four years.
Bud Walker, Melissa Data’s Director of Data Quality Tools, discussed Matchup’s benefits in the official press release: “As many as 10 percent of the contact records in the average database are duplicates -- wasting corporate resources and impeding ideal customer relationships. Eliminating duplicate records and linking customer data enables a better understanding of each individual and their relationship with your business -- improving customer service, reducing costs, managing risk and increasing profitability.”
RainStor, a Big Data management software provider that offers compression, performance, and competitive costs to companies worldwide, announced the release of RainStor Big Data Analytics, the first enterprise database of its kind to run natively on Hadoop.
As mentioned, RainStor stresses compression and performance with its products, and Big Data Analytics is no different. It offers an industry-leading compression level of up to 40x reduction, requiring no re-inflation when data is accessed. In addition to Big Data Analytics’ impressive compression capabilities, the product offers analytics that are between 10 to 100x faster thanks to the use of MapReduce and SQL query. With Big Data Analytics for Hadoop, use of the Hadoop cluster becomes more efficient, which results in higher productivity. All of this is provided without the need to create copies or move data out of the Hadoop Distributed File System (HDFSZ) environment. By effectively reducing cluster size by 50 to 80 percent, overall operating costs are lowered, making RainStor’s Big Data Analytics an appealing solution on the enterprise level.
RainStor CEO John Bantleman commented on his company’s newest product in the official press release RainStor Big Data Analytics is now available through the company’s website, www.rainstor.com. : “To manage growing, complex volumes of data requires more efficient data management to drive down infrastructure costs and at the same time provide flexible, high performance analysis. RainStor uniquely delivers the flexibility to use both MapReduce and rapid-response SQL query, which gives customers the ability to get more out of their Hadoop environments. RainStor on Hadoop essentially gives the enterprise high performance analytics at scale, without the premium cost of a data warehouse.”
Matt Aslett of 451 Research added: “As data volumes continue to grow and users look to take advantage of both structured and unstructured data, offerings like RainStor Big Data Analytics on Hadoop that enable co-existence without data movement are likely to come into greater focus. RainStor's de-duplication and compression capabilities also offer the potential to lower cluster size and cost, while improving analytic performance, which will be key considerations as we see even greater adoption of Hadoop.”
RainStor Big Data Analytics is now available through the company’s website, www.rainstor.com.
RainStor’s release of Big Data Analytics on Hadoop was just one of the company’s major announcements that occurred in the past week. It also revealed new partnerships that should bring even more innovative products in the future with a host of companies that includes Composite Software plus distributors of Apache Hadoop in the form of Cloudera, Hortonworks, and MapR.
MS SQL Server 
Glovia`s G2 ERP Solution to Support SQL Server 2012
