The course enables you to master the essential skills in Apache Spark & Scala such as Real-time processing, Spark SQL, Spark streaming, Machine learning programming, GraphX programming, and Shell scripting spark. It includes a real life industry-based project on movie reviews to be performed in Spark. The course is best suited for data scientists, IT developers, and analysts.
The name Scala derives from a combination of the words “scalable” and “language”. Scala is a functional programming language, which runs on top of the Java virtual machine and can use any Java class. Scala is well suited for distributed programming and big data. It is what Apache Spark is built in and can provide better performance when compared to Python and is much less verbose than Java. Whether you’re learning about functional programming or starting a career in big data, Scala is a great place to start.
Intellipaat Spark training let you master real time data processing using spark streaming, spark SQL, Spark RDD, Spark machine learning libraries (spark MLlib). You will learn Apache Spark, Scala programming as well as work on 3 real life use cases in this spark scala course.
Our Apache Storm, Spark, Scala certification master program lets you gain proficiency in real-time data analytics and high speed processing. You will work on real world projects in Spark RDD, Scala programming, Storm topology, Logic Dynamics, Trident Filters, Spouts.
This course will teach you how to use Apache Spark to analyze your big data at lightning-fast speeds, leaving Hadoop in the dust!
Apache Flink is a new forth generation Big Data processing tool that is changing the landscape of data processing technologies. This course teaches basic skills that you need to have to develop applications using Apache Flink.
Apache Spark is a leader in enabling quick and efficient data processing. This course will teach you how to use Spark's SQL, Streaming, and even the newer Structured Streaming APIs to create applications able to handle data as it arrives.
This course introduces how to build robust, scalable, real-time big data systems using a variety of Apache Spark's APIs, including the Streaming, DataFrame, SQL, and DataSources APIs, integrated with Apache Kafka, HDFS and Apache Cassandra.
80% of a data scientist's job is data preparation. This course is all about data preparation i.e. cleaning, transforming, summarizing data using Spark.
Learn the latest Big Data technology - Build, and execute real-world Big Data solutions using Spark and AWS.
