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Companies are nesting within tons of data of their customers. And when you talk of big data it is not limited to just enterprises within the tech community. Banks, hospitals and insurance companies now are faced with the reality of the need to manage the massive information that they have from their clients, customers, partners and patients. The explosion of new business models around big data has become an inevitable byproduct. Facebook and Amazon utilize cloud technologies to distribute and manage their data—and this same architecture is already being adapted in various industries. Data management strategist and open source consortia, Cloudera relates how they see data as driver of IT’s future.
In an interview with Bloomberg, Cloudera CEO Mike Olson talks about the big concept behind the big data saying, “The web properties discovered this problem (big data) before the rest of the world. They had the entire internet that they wanted to ingest to index and understand. But in addition, when users visited their websites, their activity created more logs more user-generating content. They wanted to capture, mine and understand their users based on all that data.”
Olson sees data as the transformers of the new generation, similar to how manufacturing shaped the 1900’s. Without a single doubt, the database industry is flourishing and emerging companies are growing within this field. With the crowd mounting exponentially, Cloudera participates in open source community and innovate as quickly as they could to get ahead of the competition.
A heavily-funded Silicon Valley startup, Cloudera found Hadoop in 2008 and raised millions of dollars in no time. Hadoop was originally built by Google in 2000. Today, Cloudera has been relentless in providing new solutions to new problems. It recently collaborated with IBM Netezza for data warehousing and analytics convergence.
Organizations are now extremely keen in understanding their customers want, who their vendor and partners are. User preferences, audio, video, geography, transactions, data that was previously inaccessible will now be the game changers and is predicted to be the successor to relational database.
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