Unified Namespace and Tiered Storage in Alluxio

Strata+Hadoop World San Jose *

Calvin Jia and Jiri Simsa explain how the current Alluxio tiered storage can be easily configured to use memory, SSDs, and hard drives in different tiers. Alluxio users and administrators do not have to manually migrate the data because data in Alluxio is managed transparently between all the configured tiers, similar to the way the CPU manages L1, L2, and lower-level caches. Meanwhile, Alluxio also provides users fine-grained control of manipulating data to plug in their own data-management strategies; users can also pin files in Alluxio to a specific storage or specify a TTL to files. Calvin and Jiri also describe the interface for managing heterogeneous data sources into the Alluxio namespace, which takes advantage of Alluxio’s ability to interoperate with different underlying storage systems such as HDFS, S3, GlusterFS, or Swift.

Alluxio (formerly Tachyon): New Features and Demos

Bay Area Meetup *

Big data ecosystem is moving with massive energy, customers are from healthcare, retail, transportation, and other fields are benefiting significantly from the business insights derived. As the data growth continues, storage technologies and distributed memory systems are becoming even more important for real time decision making and insight discovery. Intel is excited to work with developer communities on Alluxio and to optimize Alluxio solutions on Intel platform. In this talk, Ziya will discuss Intel’s optimization work in the area, open source contribution and industry use cases.

Alluxio (formerly Tachyon): Open Source Memory Speed Virtual Distributed Storage System

Data by the Bay San Francisco *

The goal is to make Alluxio accessible to an even wider set of users through a focus on security, new language bindings, and further increased stability. In addition, the team is working on new APIs to allow applications to access data more efficiently and manage data across different under storage systems.

1st Beijing Alluxio (Formerly Tachyon) Meetup

Beijing Meetup *

In the active community development of the past year, Alluxio has greatly improved its read and write performance, scalability and user experience. In addition, in terms of functionality, Alluxio has added a number of new features, such as scalable tiered storage, transparent UFS data reading and writing, unified namespaces, and more. These features bring more value to Alluxio users and more efficient and convenient cluster storage management.

Modern Software Architectures and Data Pipelines

Scalæ By The Bay San Francisco *

Throughout our four-year history, Scala and Scale By the Bay is leading the way on evangelizing and understansing modern software architectures. We have the best set of them here, including Akka, Kafka, Spark, Finagle, Lagom, and so on. How do they come together in a SMACK / MIND Stack? What are the best practices to follow and pitfalls to avoid? This panels of experienced practitioners will discuss and illuminate it all.

Alluxio (formerly Tachyon): The journey thus far and the road ahead

Strata+Hadoop World New York *

The goal is to make Alluxio accessible to an even wider set of users through a focus on security, new language bindings, and further increased stability. In addition, the team is working on new APIs to allow applications to access data more efficiently and manage data across different under storage systems.

Crash-Proofing Smartphones with Alluxio

Bay Area Meetup *

Enterprises typically store large amounts of data in existing storage systems, which are often separate from big data analytics systems. Therefore, importing petabytes of data into a big data analytics system takes a long time with large overheads and high costs. Even worse, transferring large amounts of data results in data silos and unnecessary duplication, which creates serious data management problems.

Fighting Cybercrime: A Joint Task Force of Real-Time Data and Human Analytics

Spark Summit East *

In this presentation, William Callaghan will focus on the challenges faced and lessons learned in building a human-in-the loop cyber threat analytics pipeline. They will discuss the topic of analytics in cybersecurity and highlight the use of technologies such as Spark Streaming/SQL, Cassandra, Kafka and Alluxio in creating an analytics architecture with missions-critical response times.