Accelerate Spark workloads on S3
Register for this tech talk to learn how to run EMR Spark on Alluxio as a distributed file system cache for S3.
Register for this tech talk to learn how to run EMR Spark on Alluxio as a distributed file system cache for S3.
Increasingly S3 is being used as a data store for analytical and machine learning workloads. This means that it is very easy to generate a massive amount of get operations and request data from S3. For example: a couple of commands can launch a 1000 node cluster of AWS EMR service with the Spark or … Continued
Introducing S3 and Spark S3 has become the de-facto standard API for digital business applications to store unstructured data chunks. To this end, several vendors have S3-API compatible offerings that allow app developers to standardize on the S3 API’s on-premise, and port these apps to run on other platforms when ready. So, what is S3 and … Continued
TensorFlow is an open source machine learning platform used to build applications like deep neural networks. It consists of an ecosystem of tools, libraries, and community resources for machine learning, artificial intelligence and data science applications. S3 is an object storage service that was created originally by Amazon. It has a rich set of API’s … Continued
Problem Sometimes big data analytics need process input data from two different storage systems at the same time. For instance, a data scientists may need to join two tables one from a HDFS cluster and one from S3. Existing Solutions Certain computation frameworks may be able to connect to storage systems including HDFS and popular cloud … Continued
Many organizations are leveraging EMR to run big data analytics on public cloud. However, reading and writing data to S3 directly can result in slow and inconsistent performance. Alluxio is a data orchestration layer for the cloud, and in this use case it caches data for S3, ensuring high and predictable performance as well as reduced network traffic.
Alluxio is a proud sponsor and exhibitor of Spark+AI Summit in San Francisco.
What’s Spark+AI Summit? It’s the world’s largest conference that is focused on Apache Spark – Alluxio’s older cousin open source project from the same lab (UC Berkeley’s AMPLab – now RISElab).
Alluxio can help data scientists and data engineers interact with different storage systems in a hybrid cloud environment. Using Alluxio as a data access layer for Big Data and Machine Learning applications, data processing pipelines can improve efficiency without explicit data ETL steps and the resulting data duplication across storage systems.
What’s Spark+AI Summit? It’s the world’s largest conference that is focused on Apache Spark – Alluxio’s older cousin open source project from the same lab (UC Berkeley’s AMPLab – now RISElab).