This document provides an overview of big data processing with Scala and Spark. It introduces big data concepts and defines Spark as an Apache project that provides a general-purpose cluster computing system. The document outlines why Spark is useful, such as its speed, APIs, and tools. It also describes Scala as a functional programming language integrated with Java that is well-suited for big data frameworks like Spark. The remainder covers Spark's ecosystem of modules and concludes with an invitation to try a basic "Hello World" Spark program.

1. Big Data Processing With
Scala and Spark
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What is Big Data?
What is Spark?
Why Spark?
Spark Ecosystem
A note about Scala
Why Scala?
Hello Spark!
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Objectives of this Session

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Big Data
 Lots of Data (Terabytes or Petabytes)
 Big data is the term for a collection of data sets
so large and complex that it becomes difficult to
process using on-hand database management
tools or traditional data processing applications
 The challenges include capture, curation,
storage, search, sharing, transfer, analysis, and
visualization
cloud
tools
statistics
No SQL
compression
storage
support
database
analyze
information
terabytes
processing
mobile
Big Data

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What is Spark?
 Apache Spark is a general-purpose cluster in-memory computing system
 Provides high-level APIs in Java, Scala and Python, and an optimized engine that supports general execution graphs
 Provides various high level tools like Spark SQL for structured data processing, Mlib for Machine Learning and more..
High Level
APIs
High Level
Tools
More…

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Why Spark?
Cluster Manager
Deployment
via YARN
 The Spark framework can be deployed through
Apache Mesos, Apache Hadoop via Yarn, or
Spark’s own cluster manager.

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Why Spark?
Polyglot Scala
 Spark framework is polyglot – Can be programmed
in several programming languages (Currently
Scala, Java and Python supported).

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Why Spark?
A fully Apache Hive compatible data
warehousing system that can run 100x
faster than Hive.
100x faster than for certain applications.

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Why Spark?
 Provides powerful caching and disk persistence capabilities
 Interactive Data Analysis
 Faster Batch
 Iterative Algorithms
 Real-Time Stream Processing
 Faster Decision-Making

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Spark Community is Super Active!

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Spark Ecosystem
Spark Core Engine
Aplha/Pre-alpha
Shark
(SQL)
Spark
Streaming
(Streaming)
MLLib
(Machine
learning)
GraphX
(Graph
Computation)
SparkR
(R on Spark)
BlindDB
(Approximate
SQL)

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Spark Ecosystem (Contd.)
Used for structured
data. Can run
unmodified hive
queries on existing
Hadoop
deployment.
Spark Core Engine
Aplha/Pre-alpha
Shark
(SQL)
Spark
Streaming
(Streaming)
MLLib
(Machine
learning)
GraphX
(Graph
Computation)
SparkR
(R on Spark)
BlindDB
(Approximate
SQL)
Enables analytical
and interactive
apps for live
streaming data.
An approximate
query engine. To
run over Core
Spark Engine.
Graph Computation
engine.
(Similar to Giraph)
Package for R language
to enable R-users to
leverage Spark power
from R shell.
Machine learning library being built on top of Spark. Provision for support to many
machine learning algorithms with speeds upto 100 times faster than Map-Reduce.

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A Note on Scala
 Scala is a general-purpose programming language designed
to express common programming patterns in a concise,
elegant, and type-safe way
 Scala supports both Object Oriented Programming and
Functional Programming
 Scala is very much in fabric of present and Future Big Data
frameworks like Scalding, Spark, Akka
» All examples of Spark in class will be
covered in Scala
» Scala would be covered before Spark
coverage as part of course!

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Why Scala?
 Scala is a pure object-oriented language. Conceptually, every value is an object and every operation is a
method-call. The language supports advanced component architectures through classes and traits
 Scala is also a functional language. Supports functions, immutable data structures and preference for
immutability over mutation
 Seamlessly integrated with Java
 Being used heavily for future Big data and we developments frameworks like Spark, Akka, Scalding, Play etc

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Hello Spark!
Hello Spark!

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Questions?
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