{"id":805,"date":"2015-02-26T11:01:49","date_gmt":"2015-02-26T16:01:49","guid":{"rendered":"https:\/\/stg-solutionsreviewcom-staging.kinsta.cloud\/data-integration\/?p=805"},"modified":"2016-10-05T10:28:52","modified_gmt":"2016-10-05T14:28:52","slug":"informatica-modernizing-data-management","status":"publish","type":"post","link":"https:\/\/stg-solutionsreviewcom-staging.kinsta.cloud\/data-integration\/informatica-modernizing-data-management\/","title":{"rendered":"Informatica Modernizing Data Management"},"content":{"rendered":"

\"Informatica<\/a>Informatica<\/a> and Cisco<\/a> announced a joint Data Warehouse Optimization Solution at Strata + Hadoop World \u201cMake Data Work\u201d conference<\/a> on February 18 in San Jose California. Informatica, the world\u2019s number one independent provider of data integration software, and Cisco, one of the biggest proponents of the Internet of Things globally, have joined forces to create a solution for organizations looking to modernize how they manage data, while creating new business awareness.<\/p>\n

According to Informatica: \u201cCombining flagship Informatica and Cisco technologies with Hadoop<\/a>, the new Data Warehouse Optimization solution<\/a> enables customers to integrate and analyze more data and types of data, more effectively and economically, with lower risk.\u201d They also add: \u201cThe solution provides a single platform for offloading processing and storage for data warehouses to Hadoop.\u201d<\/p>\n

With the position that mobile devices and sensors are playing in the growing evolution of digital business, organizations will have the ability to create a notable competitive edge for themselves by using this technology. The desire for data is escalating, which means there is a need for optimizing the warehouses in which data is stored.<\/p>\n

Informatica goes on to cite an Appfluent Technology<\/a> finding: \u201csurveys by Appfluent Technology, Inc., a provider of Big Data management software to transform the economics of Big Data and Hadoop, show that as much as 50 percent of a traditional data warehouse\u2019s processing capacity is spent on data integration tasks, and that up to 70 percent of data in a typical warehouse environment is infrequently used, thus exerting a further drag on warehouse resources.\u201d<\/p>\n

Organizations are on the lookout for solutions to speed up the deployment of contemporary data management ecosystems. However, they do not want to scale back productivity or ease of maintenance.<\/p>\n

The solution works with whichever Hadoop distribution the user chooses, including Cloudera, Hortonworks and MapR. It also provides a comprehensive software, networking and computing framework, which can be used for extrapolating a variety of big data. Specifically, the infrastructure package incorporates three tools:<\/p>\n