Realize the benefits of mananaging Big Data in the Cloud
We live in a data-driven world. How organizations approach data can be critical to their success.
Big Data refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills, and infrastructure to address efficiently. In other words, the volume, velocity or variety of data is too great. In fact, it is so large, that it cannot be reasonably processed or stored with traditional tooling.
Benefits of Big Data Cloud Services
- Big data itself is beneficial because it fuels the analysis of customer behavior and trends
- Understand and optimize business processes
- With big data, organizations can operate more intelligently and really understand their customer base since the data is accessible, holistic and relevant
Working with Faction
Faction's Cloud Control Volumes (CCVs) offers the best platform for data lake for big data. It avoids the issues of building and scaling HDFS (Hadoop Distributed Filesystem) in order to persist the data, and avoids having to transform and pipeline data in and out of object storage to do public-cloud processing. As Cloud Control Volumes are natively multi-cloud-enabled, it allows for developers to select “best fit” cloud services and platforms and utilize the same data across multiple clouds.
Faction's Cloud Control Volumes are simple NFS mounts - so they are broadly compatible, both with Apache Spark deployed natively, as well as Hadoop and Spark on Hadoop utilizing NetApp's FAS NFS Connector for Hadoop. This simplifies the complexity of persisting big data, because you no longer need to manage a cluster with local drives forming an HDFS cluster. You only need to turn up your compute instances when you need to be doing processing. It also means you can use a smaller cluster for stream processing, but add additional resources (and utilize the same data lake) when adding an additional cluster to do processing on historical data.
Learn more about how Faction's Cloud Services can work for you.