Apache Spark Certification

Apache Spark certification is an all-in-one training on Big Data Crash Course, Advance Big Data Analytics using Hive & Sqoop, hands-on learning with Apache Kafka, Spark Machine Learning, and Analytics Projects with Apache Spark. Our Apache Certification has been designed in such a way that it will grant learning access to video courses, projects & eBooks in the overall understanding of Big Data Technologies, Big Data Analyst using Hive and Sqoop.

You will also experience project-based learning with our Apache Spark Machine Learning Project (House Sale Price Prediction). In this hands-on project, you will predict the sales prices in the Housing data set using linear regression, one of the predictive models, and much more!

Apache Spark Certification Overview

Apache Spark Certification is a basic to advanced intensive program covering a broad spectrum of topics. including A-Z of Kafka right from basic concepts and the architecture of Kafka like:

• Kafka Producer and consumer

• Serializer/ Deserializer

• Kafka Streams

• Kafka Connect

• Cluster setup and Administrating Kafka

• Kafka Monitoring and Schema registry

• Integration of Kafka with Storm

• Integration of Kafka with Spark and Flume

• Kafka Security

and many more concepts in detail.

Moreover, you will master Apache Spark; Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis, or TCP sockets. The data can be processed using complex algorithms expressed with high-level functions like map, reduce, join, and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards.

You will get to explore Apache Spark and Machine Learning on the Databricks platform launching Spark Cluster. Create a Data Pipeline and process that data using a Machine Learning model (Spark ML Library). Publish the project on the Web, graphical representation of data using Databricks notebook, and transform structured data using SparkSQL and DataFrames.

You will learn how to use the most popular software in the Big Data industry using batch processing as well as real-time processing.

In this Apache Spark Certification, You will learn:

• An Introduction to Big Data

• Uses of Analysis of Big Data for Organizations

• Hadoop and its use cases

• Different ecosystems of Hadoop

• Structured unstructured semi-structured data

• Apache Hadoop 3.3.0 Single Node Installation on Windows 10. 

Scope 

• Future is all about big data, and Spark provides a rich set of tools to handle real-time large-size data

• It is lighting, fast speed, fault tolerance, and efficient in-memory processing make Spark a future technology

• Apache Kafka is an open-source distributed stream processing platform that provides high-throughput and low-latency real-time messaging. More than 80% of all Fortune 100 companies trust, and use Kafka.

• Companies like Airbnb, Netflix, Microsoft, Intuit, Target, etc use Kafka extensively.

• Top Apache Spark Companies are Amazon, Alibaba, Baidu, IBM, Yahoo, Hitachi, eBay & much more

• On average, an Apache Spark developer earns $109,000 per year

• The course also works for current or aspiring Business Analysts, Testers, and SQL Developers.