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Oracle offers a comprehensive and fully integrated stack of cloud applications, platform services and engineered systems. With more than 420,000 customers in more than 145 countries, Oracle provides a complete technology stack both in the cloud and in the data center. Oracle’s industry-leading cloud-based and on-premises solutions give customers complete deployment flexibility and unmatched benefits including application integration, advanced security, high availability, scalability, energy efficiency, powerful performance, and low total cost of ownership.

For more information about Oracle (NYSE:ORCL), visit oracle.com. Oracle Before the iPhone and Xbox, prior to the first Tweet or Facebook “Like,” and well in advance of tablets and the cloud, there was the data warehouse. For 30 years, businesses have centrally stored data for analysis and data-driven decision making. For all of that time, the data warehouse has been the business-insights workhorse of enterprise computing.

The big trend in the mid 1990’s, when I covered these systems as a tech journalist, was the emergence of data warehouses that were a terabyte in size, which at the time was considered a huge amount of data. Today’s leading-edge systems are a thousand times larger—measured in petabytes. Data warehouses have had staying power because the concept of a central data repository—fed by dozens or hundreds of databases, applications, and other source systems—continues to be the best, most efficient way for companies to get an enterprise-wide view of their customers, supply chains, sales, and operations.

For this reason, businesses that have data warehouses are upgrading and augmenting them with technologies such as Hadoop and in-memory processing, which help with “big data” workloads that are 10 times or 100 times or 1,000 times bigger than before. Meanwhile, businesses that have relied on piecemeal data-analysis solutions in the past are now establishing data warehouses to get a more complete picture of the enterprise. For more on that, see my recent article, In other words, data warehouses aren’t just bigger than a generation ago; they’re faster, support new data types, serve a wider range of business-critical functions, and are capable of providing actionable insights to anyone in the enterprise at any time or place. All of which makes the modern data warehouse more important than ever to business agility, innovation, and competitive advantage. A explores the top 10 trends and opportunities in data warehousing. Here’s a recap of that Top 10 list along with my own take on each trend.

• The “datafication” of the enterprise requires more capable data warehouses. Mobile devices, social media traffic, networked sensors (i.e. The Internet of Things), and other sources are generating a growing stream of data—some would say a fire hose of data. IT teams are responding by adding new capabilities to data warehouses so they can handle new types of data, more data, and do so faster than ever. • Physical and logical consolidation help reduce costs. The answer to datafication isn’t to throw more money at these systems. Or put another way, ten times the data shouldn’t translate into ten times the cost.