Why SMACK for Fast Data

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Do you want to solve your Big Data and IOT type challenges with SMACK stack and Spark? Join InfiniteConf Bytes for this talk by Dean Wampler to learn more.

FREE TICKETS

Attendance is free for registered delegates, and you can register here: https://skillsmatter.com/meetups/8439-fast-data

WHAT, WHEN, WHERE

WHAT: Talk on Fast Data with SMACK stack by Dean Wampler

WHEN: Monday, 24th Oct, starts at 18:30

WHERE: Skills Matter, CodeNode

REGISTRATION (FREE): https://skillsmatter.com/meetups/8439-fast-data

TALK:

Why SMACK for Fast Data

The SMACK stack (Spark, Mesos, Akka, Cassandra, Kafka) is well positioned as the ideal platform for building “Fast Data” applications. The term Fast Data emphasizes how Big Data architectures and applications are evolving to be stream oriented, so that information is extracted as quickly as possible from incoming data, while still supporting traditional data scenarios, such as data warehousing, batch processing, and interactive exploration.

We’ll explore in depth how the SMACK components (and variations) support the requirements of Fast Data systems:

Spark (and similar streaming engines): Used to implement ETL, queries, aggregations, applications of machine learning, etc.

Mesos: The flexible cluster infrastructure that addresses the limitations of Hadoop YARN. It can host and manage the cluster resources for all your applications.

Akka: Microservice development with high scalability, durability, and low-latency processing. Perhaps it should really be Lightbend’s entire Reactive Platform, in which case we have SMRCK (“smirk”)?

Cassandra: Scalable, resilient, distributed database for persistent, durable storage. Most environments will also use a distributed file system like HDFS or S3.

Kafka: The backplane and integration tool for all stream flows. Provides highly scalable and durable short-term storage, organized into topics using message queue semantics.

Attendance is free for registered delegates and you can register here: https://skillsmatter.com/meetups/8439-fast-data