#Scala tutorial for mac#
#Scala tutorial windows#

These steps might get old with new Apache Spark version, so comment if you find any issue.

#Scala tutorial for mac#

I have written two separate blogs for Apache Spark installation, one for Mac and another for Windows. You will understand these soon.Īpache Spark is used for real time data processing with Spark Streaming.Īpache Spark is used to store petabytes of data (with data distributed over cluster with thousands of nodes).Īpache Spark is used to implement Extract, Transform, Load (ETL) processes.Īpache Spark is used to implement machine learning algorithms and create real time interactive dashboards for analytics. you can tell Spark engine to perform a task in these four languages.Īlso, Apache Spark has built-in libraries for Spark SQL, Machine Learning, Spark Streaming and GraphX. Apache spark supports four programming languages Java, Scala, Python and R i.e. Thats why it’s called processing engine and not a programming language. Well there are many other factors like network bandwidth, disk speed, memory which is needed to calculate execution time, but keep them aside for a moment.Īlso, don’t worry who will distribute the work - map, combine the result - reduce, manage partitions, data movement etc - all of this will be taken care by Apache Spark. Obviously, you will get the result in few seconds. Or what about 1000 different sets with 100 MB of data each. Obviously it will be faster, right? Assume each set of data has its own memory, processor and they can work independently to get the partial result. Now suppose you have divided this data into 100 equal sets so that each set has 1 TB of data and you run the same query to get the result. I am pretty sure few queries will not even complete or it will take good amount of time to give you result. Obviously, it will take good amount of time to read all the texts, split the string, group, count and order them, for example in SQL world think like

In simple terms, suppose you have 100 terabytes of data (lets say huge collection of stories, plays, poems etc) and you want to find out most frequent word. Also, there are few links which are still not active because I am working on those.Īpache Spark is a distributed data processing engine. Don’t worry I will not spam your inbox with useless emails. New blogs are often added here so bookmark this page and keep visiting this page, or signup for email notification. You can email me as well, follow the link in the top menu.

Even if it’s a silly question, no issues, I will answer. Just scroll down to bottom of each blog and write down your question in comments section.

#Scala tutorial windows#

Zero prior knowledge and a laptop, Windows or Mac. You will not become an “expert” in a week, no one can! But you will head into right direction to become en expert.

Otherwise, you will forget everything after sometime. Run the commands/code on your machine, don’t just read the blog. It would take approximately a week to finish the content with “seriousness” and after that I am confident that you will be able to write Spark programs. You can go through these blogs in any fashion but if you are a complete beginner (with zero prior knowledge) I would encourage you to start from top and go through each post/link way down to bottom. Thank you guys, and I am really happy that these blogs are helping you. I get so many emails from you guys that it encourages me everyday to write new blogs. I have written these tutorials in such a way that anyone can understand it easily. So, if you have no prior knowledge of Scala and zero understanding of Apache Spark, you are at right place. I have written these Spark tutorials with Scala for those who are having no Scala programming background. I was from SQL background and it was very difficult for me to change my style of thinking from “SQL programming” to Scala programming or to any other object oriented programming language. I heard of Apache Spark in late 2014 when I became interested in Big Data Analytics. What's Artificial Intelligence, Machine Learning, Deep Learning, Predictive Analytics, Data Science? Sample Big Data Architecture with Apache Spark SparkContext Parallelize and read textFile method Starting Spark shell with SparkContext example Spark installation continued for windows (pyspark) You will learn about Spark Scala programming, Spark-shell, Spark dataframes, RDDs, Spark SQL, Spark Streaming with examples and finally prepare you for Spark Scala interview questions and answers. Spark Scala Tutorial for beginners - This Spark tutorial will introduce you to Spark programming in Scala.