Exploring Spark

Adnan Masood has photos of slides from a Spark-related meetup:

Apache Spark is a general purpose cluster computing platform which extends map-reduce to support multiple computation types including but not limited to stream processing and interactive queries. Last week IBM’s Moktar Kandil presented at the Tampa Hadoop and Tampa Data Science Group Joint meetup on the topic of exploring Apache Spark.

Apache Spark for Azure HD-Insight

Following are some of the slides discussed in the meetup. To play with the ALS Recommendation engine notebook, please register at www.datascientistworkbench.com which is a free notebook for Apache Spark platform for educational purposes.

Check out the links.

Related Posts

Security Improvements In Kafka And Confluent Platform

Vahid Fereydouny demonstrates a number of security improvements made to Apache Kafka 2.0 as well as Confluent Platform 5.0: Over the past several quarters, we have made major security enhancements to Confluent Platform, which have helped many of you safeguard your business-critical applications. With the latest release, we increased the robustness of our security feature […]

Read More

SparkSession Versus SparkContext

Abhishek Baranwal explains the differences between the SparkSession object and the SparkContext object when writing Spark code: Prior to spark 2.0, SparkContext was used as a channel to access all spark functionality. The spark driver program uses sparkContext to connect to the cluster through resource manager. SparkConf is required to create the spark context object, […]

Read More

Categories

May 2016
MTWTFSS
« Apr Jun »
 1
2345678
9101112131415
16171819202122
23242526272829
3031