By 2023, the global datasphere will grow more than five times its current size. As the pace of digital transformation accelerates, maximizing the value of your data is key to gaining a competitive advantage. Hadoop can help you unlock the value hidden in all of this data. However, trying to keep pace with this astounding data growth has become very complex and expensive.
A Hadoop Distributed System (HDFS) gives you clustered storage that federates many data nodes into a single pool where both compute and storage are co-located. As clusters fill with aged and inactive data, you must scale your storage capacity. Traditional storage scaling in Hadoop requires that you also scale compute. Having to simultaneously add computer and storage creates an inefficient balance and utilization of resources, and becomes very costly with today’s storage capacity demands.
Your data is the key to new revenue, better customer experiences and lower costs. With technology and expertise, Hitachi Vantara drives data to meaningful outcomes.
Data Optimizer for Hadoop is an intelligent data tiering solution that reduces operating costs and gives you seamless access to HDFS data for real-time analytics with Hitachi Content Platform (HCP).
Automated data tiering for reduced costs and seamless access to Hadoop data for real-time analytics.
Unlike offloading data with S3A, which removes files from HDFS, Data Optimizer for Hadoop integrates with HDFS to free up capacity and ensure that your data always remains securely accessible through HDFS. By dynamically tiering data between HDFS and HCP, you maintain seamless access to all your data, all the time.
Reduce Hadoop costs with an intelligent data tiering solution for seamless HDFS access.
Reserve Hadoop for active data while less-frequency accessed data is store on HCP.
Automatic policy-based tiering of Hadoop data to the most economic storage resource ensures that data continues to be utilized seamlessly and efficiently. Store data optimally for cost versus frequency of use.
HCP to ensure that your data remains always accessible without having to alter data paths and application configurations.
Improve efficiency and gain better data insights to fuel the best business decisions.
Data Optimizer for Hadoop streamlines data management with policy-based metadata collection of HDFS to power the best decision on how to optimally handle and store your Hadoop data.
Gain massive data scalability with HCP for more efficient Hadoop resource utilization.
Improve utilization as you scale Hadoop. Add Hadoop nodes on demand, and dynamically grow storage with HCP to satisfy your data retention needs. Avoid scaling Hadoop compute nodes just to accommodate petabytes of cold data storage.
Tier Hadoop data to and from HCP, a cost-effective storage platform for long-term data retention.
Data Optimizer automatically tiers data between HDFS and
Gain seamless and secure HDFS access to Hadoop data that’s been optimally tiered to HCP.
Data Optimizer for Hadoop integrates with Hadoop and operates as an HDFS volume to move HDFS data to and from HCP. Since the files never leave HDFS, capacity is freed with no disruption and data continues to be accessed seamlessly via HDFS.
Improve utilization and reduce costs by eliminating Hadoop’s triple repliation of inactive data.
Hadoop maintains three copies of data for redundancy and availability, which consumes additional storage and compute resources. Tiering less-active data from HDFS to HCP consumes less storage and compute and reserves valuable Hadoop resources for your most active data.
Data moved to HCP doesn’t require additional protection and consumes up to 40% less capacity
With fifteen 9’s data durability, erasure coding, replication, configurable redundancy and automatic repair and versioning. HCP is a resilient and self-protecting storage platform that makes data recovery easy.
Rely on scalable, economical and highly available HCP storage for Hadoop data.
HCP provides a long-term cloud object storage platform that is massively scalable. It makes compliance and data recovery easy with data mobility, AES-256 encryption, policy-based tiering to public clouds, robust data protection and up to fifteen 9s availability.
“Decoupling compute and storage is proving to be useful in big data deployments. It provides increased resource utilization, increased flexibility, and lower costs.”
Ritu Jyoti, Program Vice President,Artificial Intelligence Strategies, IDC
Source: “Five Benefits of Decoupling Compute and Storage for Big Data Deployments,” Ritu Jyoti, Program Vice President, Artificial Intelligence Strategies, ICD
Lumada DataOps provides intelligent data management for digital innovation through advanced insights based on trusted data.
Open and modular, Lumada DataOps delivers AI-driven automation and collaboration, and includes:
Lumada DataOps is built with Pentaho technology that includes Pentaho Business Analytics and Pentaho Data Integration.
Check out the resources below to learn about how Lumada DataOps enables better business and operational insights by improving data access with an intelligent data foundation that accelerates data discovery and automates management.
We guide our customers from what’s now to what’s next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society.