Big data Engineering refers to the process of designing, building, and maintaining large-scale data processing systems that can handle massive volumes of data in various formats, such as structured, semi-structured, and unstructured data. It involves the development and deployment of tools and technologies that can store, manage, process, and analyze big data, to derive insights and drive decision-making.
The field of big data engineering is complex and constantly evolving, with a range of technologies and platforms available to handle different types and sizes of data. Big data engineers must have a strong foundation in computer science, software engineering, and database management, as well as an understanding of data analysis, statistics, and machine learning.
Benefits Of Big data Engineering Course
High Demand for Big Data Engineers: The demand for skilled big data engineers is consistently high as organizations across various industries seek professionals who can manage and process large volumes of data.
Handling and Processing Large Data Sets: Big data engineering equips you with the skills to handle and process massive amounts of data efficiently.
Developing Data Pipelines and ETL Processes: Big data engineering involves designing and developing data pipelines and Extract, Transform, Load (ETL) processes. These pipelines enable the efficient movement of data from various sources, perform necessary transformations, and load it into data storage systems for further analysis.
Scaling and Performance Optimization: With big data engineering, you learn techniques to scale data processing systems horizontally and vertically.
Integration with Big Data Technologies: Big data engineering involves working with a range of big data technologies and frameworks such as Apache Hadoop, Spark, Kafka, and NoSQL databases.
Course Content
Introduction to Big Data and Distributed Computing
Overview of Big Data
Distributed Computing Paradigms: Hadoop, Spark
Introduction to Hadoop Distributed File System (HDFS)
Setting up a Hadoop Cluster
Getting Started with Big Data and Understanding HDFS Concept along with Linux Commands
Big Data on Google Cloud: Dataproc, Bigtable, BigQuery
Big Data on Azure: HDInsight, Blob Storage, SQL Data Warehouse
Introduction to PySpark
PySpark RDDs, DataFrames, and Datasets
PySpark SQL
PySpark Streaming and Structured Streaming
Big Data Industry grade project.
Big Data Analytics in Credit card fraud detection.
Big Data Analytics in Healthcare
Big Data Analytics in Social Media
Big Data Analytics in Transportation
We offer Retail and Corporate Training for Software Testing & Java Developement .
QUASTECH conducts unique and professional training for graduates and postgraduates, we are specialized in real time industry training with the added advantage of domain knowledge. We believe in well organized, systematized and standardized training. conducts unique and professional training for graduates and postgraduates, we are specialized in real time industry training with the added advantage of domain knowledge. We believe in well organized, systematized and standardized training.
We have the specialized and certified faculty for each content like Software Testing Traning, Java Training, Full Stack Web Development Courses , etc. Our training is 100% based on current industry requirements and real-time projects. Apart from the technical knowledge, we believe in the overall growth of the candidates.
We have an expert panel of counsellors to understand your requirement of training and to counsel you for finzalizing the Software Development or Software Testing field as per your current knowledge.
