Your organization is faced with the challenge of handling large quantities of unstructured data that is growing rapidly. This data is needed for use by more employees and a wide range of applications and workloads, including data analytics, which are increasingly important for the success of your business. These challenges, along with access difficulties, are preventing your business from gaining insights and driving business actions. Increased information sharing is easy with a data lake that enables integrated, multi-protocol support, resulting in easy information access and data sharing across your enterprise.
Although you’re managing less than 50 TB today, according to IDC you could be managing over 200 TB in 5 years. Enterprise data growth is best addressed by consolidating storage into one single central repository of persistent data — a data lake — that simplifies the IT architecture, is efficient, and scales as business needs change.
By beginning to standardize your infrastructure, you’re likely already starting to enjoy improved efficiency and simplified management. With a data lake, you can expand these benefits and more. By rethinking your current dedicated storage approach for specific workloads, you can gain added efficiency and streamlined management with a consolidated core infrastructure that leverages a wide range of industry standard protocols including NFS, HDFS, SMB, HTTP, and FTP. A data lake can support a wide range of applications on a single platform and enable you to increase information sharing across your enterprise and get more value from your data assets.
When your business is ready to expand to new locations, your data lake is too. Even in remote offices with limited IT resources, a data lake supports a wide range of workloads simply and efficiently while providing the resiliency to safeguard data wherever it may be created and retained. You can also integrate data from edge locations to the core to take advantage of powerful data analytics tools to gain added insight for your business.
With data growing at an exponential rate, cloud-scale capabilities are an attractive way to increase efficiency and optimize your on-premise storage resources. With policy-based automated tiering, a data lake lets you seamlessly integrate with your choice of cloud storage options, providing you with a highly efficient archive storage tier for “cold” or “frozen” data. This allows your valuable on-premise storage resources to be used for more active data and applications. A data lake that extends to the cloud in this way ensures that your data remains readily and transparently accessible to users and applications alike wherever it is stored.
A data lake is the foundation for big data analytics. With consolidated data access at the core, you can run big data analytics in-place and save time and money by not having to build out a separate infrastructure or transfer data manually. Dell EMC offers support for all major big data analytics distributors and has native HDFS integration.
View the webinar on Harnessing the Power of Unstructured Data. Discover how you can implement a core data center that can eliminate disparate silos of storage by consolidating your data into a single volume with access to multiple traditional and cloud-native protocols — the first step in building your Data Lake. Then discover how you can extend your data lake from the core to the edge and to the cloud for a scale-out, software-defined, and cloud-enabled Data Lake architecture.
Still want more? Read the top reasons to adopt scale-out data lake storage based on Dell EMC Isilon for Hadoop Analytics.Read Top Reasons to Adopt Scale-Out Data Lake
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