Learning Apache Spark by Example @sparkexamples - Tumblr Blog

Let's learn In PySpark groupBy through examples of grouping data together based on specified columns, so aggregations can be run.

Pretty good PySpark GroupBy examples

#pyspark

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Joins in Spark

I want to replace the string "a" for an array of Strings making .contains() to check for every String in the array. Is that possible? val filtered = stream.flatMap(status => status.getText.spli...

Interesting challenge of using an array of strings to filter a Spark Stream

#apache spark #sparkstreaming #scala

Spark WAL

Spark Streaming includes the option of using Write Ahead Logs or WAL to protect against failures. A Write Ahead Logs (WAL) is like a journal log. A WAL structure enforces fault-tolerance by saving all data received by the receivers to logs file located in checkpoint directory.

WAL is enabled through spark.streaming.receiver.writeAheadLog.enable property.

#spark #Apache Spark #streaming #spark streaming

Hands on tutorial presentingan example of streaming Kafka messages from Spark.

Tutorial post with history and options when building spark streaming with Kafka. Includes sample code and screencasts

#kafka #streaming #sparkstreaming #spark

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What are monads and how to use them in Scala

Not a Spark related article but I had to post this article on monads in Scala

Spark Summit East 2016 presentation by Mark Grover and Ted Malaska

#spark #apachespark

A concise look at the differences between how Spark and MapReduce manage cluster resources under YARN The most popular Apache YARN application after MapReduce itself is Apache Spark. At Cloudera, we have worked hard to stabilize Spark-on-YARN (SPARK-1101), and CDH 5.0.0 added support for Spark on YARN clusters. In this post, you’ll learn about the differences between the Spark and MapReduce architectures, why you should care, Read More

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Spark tutorials to answer what, why, when and how questions around Apache Spark. Start here to begin both the technical and business value of Apache Spark.

#spark #tutorial #apache spark #tutoriais

In this post, we build, run, and deploy a Scala application with Apache Spark Cassandra combo and analyze battle data from Game of Thrones.

#scala #cassandra #dataframe #spark #apachespark #tutorial

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Spark Streaming example tutorial in Scala which processes data in from Slack. Shows how to write, configure and execute Spark Streaming code.

#streaming #apache spark #scala #bigshot technical blogger

The following is a sample chapter from Learning Spark Summary. For more information and to purchase see Learning Spark Summary. Spark Streaming Spark Streaming based applications are tracking statistics about page views in real time, train a machine learning model, or automatically detect anomalies. The abstraction in Spark Streaming is called DStreams or discretized streams. [...]

An overview of Spark Streaming

#learningspark #apache spark #scala #spark

Apache Spark Transformations in Python

#spark python

IPython Notebook and Spark’s Python API are a powerful combination for data science. The developers of Apache Spark have given thoughtful consideration to Python as a language of choice for data analysis. They have developed the PySpark API for working with RDDs in Python, and further support using the powerful IPythonshell instead of the builtin Python REPL. The developers of IPython have invested considerable effort in building the IPython Notebook, Read More

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Spark SQL tutorials in both Scala and Python. The following are free, hands-on Spark SQL tutorials to help improve your skills to pay the bills.

#sparksql #spark #apachespark #apache spark

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A discussion on how to use Apache Spark and MySQL for data analysis.

#data analysis

Through over 50 Scala source code examples, become confident and productive with Apache Spark

A coupon link for significant discount to Apache Spark course on Udemy

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