Big Data Developer Master Program
Big Data is a term that describes a collection of data which is huge in the volume containing both structured and unstructured data. In essence, such data is exceptionally large and complex that not even a single data management tools can store it or process it efficiently. Big data can be used to analyze the insights which lead to better decisions and planned business moves. Big data has one or more characteristics like high volume and high velocity. Internet of things (IoT), mobile, social, Artificial intelligence (AI) are driving the data complexity through a new source of data. For example, big data comes from devises, networks, sensors, and social media and these are generated in real-time & exceptionally large scale.
Apache Hadoop is open-source software that allows distributing the processing of large data sets over a cluster of computers by using a simple programming model. It is designed to scale up from single servers to thousands of machines, offering local storage and computation. The Apache Hadoop consists of a storage part which is known as Hadoop Distributed File System (HDFS). Hadoop will split the files into large blocks and distributes them over nodes in a cluster. It is also designed to detect and handle failures at the application layer.
PySpark is a python API which is written in python to support the Apache Spark. Python and Apache are the trending words in the analytics industry. Apache spark is used as a unified analytics engine for processing large-scale data. Apache Spark can accomplish high performance for both batch and streaming data, a query optimizer and physical execution engine. Also, PySpark can help you with the Resilient Distributed Datasets (RDDS) in Apache Spark and python programming language.
Before you finish the big data course for beginners, you will be able to:
- Understand the impact of massive data processing today.
- Understand and explain the origin and characteristics of big data.
- Acquire, prepare, store, and manage large data sets.
- Gain good knowledge of Hadoop, PySpark, Cassandra, Kafka ecosystem.
- create near real-time data pipeline using Flume, Kafka, Spark, Cassandra & HDFS.
- architect Big Data Project using Kappa & Lambda architectures.
- Lectures 9
- Quizzes 0
- Duration 3 hours
- Skill level All level
- Language English
- Students 273
- Assessments Yes