A Total of 17 years, Karen Padir Executive at Sun Microsystems, and present to the company's surprising transitions to open source technology. He is an advocate for MySQL when Sun acquired the project, and then later when Oracle acquired Sun, promising "Dolphin" devoted that good times still lay ahead. But then he left, to lead marketing efforts for the primary key in MySQL competition dates back to an open-source database, EnterpriseDB Postgres Plus-commercial providers.
Now, look at other transitions are Padir new and amazing in his field: the open source development community is moving towards a less structured, high-capacity databases. So last week, EnterpriseDB began building a bridge to Hadoop, cloud-oriented database which is born of Yahoo, launched a private beta program entitled innocuously Postgres Plus connector for Hadoop.
In an interview with ReadWriteWeb, EnterpriseDB's Vice President for Product Marketing of Karen Padir noted how the emergence of mobile applications that are able to customize their own services and service levels on the fly, based on the location of your smartphone as well as other locations You can talk to, have resulted in a flood of data. "There are large amounts of data, and the industry trying to figure out, ' How do we make sense of it all? ' And some important data for legal reasons, You should make sure that you keep track of all this data.
In some cases, users may want to take a subset of data from a database is structured, and analyze in real-time in a more agile, structured scenario. This is work that has been in the minds of EnterpriseDB for Hadoop that connector: allows the user to perform the functions of MapReduce Hadoop speed on Postgres Plus structured tables that are designed to be more formal, less scalable and join unions.
In contrast, the same connector can be used to move data to a subset of Hadoop Postgres Plus environments for analysis. He offers an example: "say You have a large amount of unstructured data are managed in a cluster Hadoop–all this data You're collecting from the Tweets, the data was part of the digital footprint You make as You live your life. Now say the data center, in Your IT Department, You have a database table employees employees their geography location, phone number. And you try to run a query about where your employees travel, or their level of activity of a cell phone if you are currently processing their bills. You want to link any one employee, but You don't want to change your application and everything you've done before to make it happen. So this allows You to connect and combine these two things: applications in Your existing toolset, with structured data. "