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Best Data Engineering Course Training in Oman

Data Engineering is the new hot job in the market. A tech job report published by a renowned agency notes that Data Engineering is the fastest-growing career option in technology.
  • 40 Hours Interactive Online Sessions
  • 80 Hours Assignments & Real-Time Projects
  • Complementary Hadoop and Spark
  • Complementary ML on Cloud
  • Complementary Python Programming
Data Engineering certification course reviews - 360digitmg
513 Reviews
Data Engineering certification course reviews - 360digitmg
3117 Learners
Academic Partners & International Accreditations
  • Data Engineering Course with Microsoft
  • Data Engineering certification with nasscomm
  • AiSPRY
  • Data Engineering certification with SUNY
  • Data Engineering certification with NEF
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Course Fee

Data Engineering Training Overview in Oman

With our Data Engineering Training, you get to explore the various tools used by Data Engineers and understand the difference between a Data Scientist and a Data Engineer. In this training, get introduced to tools like Python, Spark, Kafka, Jupyter. Spyder, TensorFlow, Keras, PyTorch, etc. along with advanced SQL techniques. Learn to extract raw data from various data sources in multiple formats and then transform them into actionable insights, and deploy them into a single, easy-to-query database. Learn how to build pipelines while handling huge data to optimize the process of big data. Get firsthand experience with advanced data engineering projects.

What is Data Engineering?

A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He has to pay attention to security and compliance; reliability and fidelity; scalability and efficiency; and flexibility and portability while designing, operationalizing and monitoring data processing systems.

Data Engineering Training Learning Outcomes in Oman

These modules will lay out the foundation for data science and analytics. The core of Data Engineering involves an understanding of various techniques like data modelling, building data engineering pipelines, and deploying the analytics models. Students will learn how to wrangle data and perform advance analytics to get the most value out of data. As you progress, you'll learn how to design as well as build data pipelines and work with big data of diverse complexity and production databases. You will also learn to extract and gather data from multiple sources, build data processing systems, optimize processes for big data, build data pipelines, and much more. With this course develop skills to use multiple data sources in a scalable way and also master the skills involved in descriptive and inferential statistics, interactive data analysis, regression analysis, forecasting, and hypothesis testing. Also, learn to

Comprehend the meaning of Data Engineering
Understand the Data Engineering Ecosystem and Lifecycle
Learn to draw data from various files and databases
Acquire skills and techniques to clean, transform, and enrich your data
Learn to handle different file formats in both NoSQL and Relational databases
Learn to deploy a data pipeline and prepare dashboards to view results
Learn to scale data pipelines in the production environment

Data Engineering Course Syllabus in Oman

These modules on Data Engineering are designed to ensure that they are at par with the current industry requirements for Data Engineers. All the modules will wrap up with hands-on practice using real tools and real-time multiple databases. With these modules you will learn to manage, load, extract, and transform data to facilitate delivering of results that your organization can leverage. You will also learn to master the core skills of cleansing, and migrating data.

  • Data Science vs Data Engineering
  • Data Engineering Infrastructure and Data Pipeline
  • Data Architecture
  • Lambda
  • Kappa
  • Streaming Big Data Architectures Monitoring pipelines
  • With Databases and various File formats (Data Lakes)
  • SQL
    • MySQL
    • PostgreSQL
  • NoSQL
    • MongoDB
    • HBase
  • Amazon Relational Database Service
  • Microsoft Azure SQL Database
  • Google Cloud SQL
  • Concepts of Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms
  • Getting started with Python programming for Data Processing
  • Data Types
  • Python Packages
  • Loops and Conditional Statements
  • Functions
  • Collections
  • String Handling
  • File handling
  • Exceptional Handling
  • MySQL Integration
  • INSERT, READ, DELETE, UPDATE, COMMIT, ROLLBACK operations
  • MongoDB Integration
  • Pre-processing, Cleaning, and Transforming Data
  • Linux OS
  • Apache Hadoop
  • HDFS
  • Hadoop Cluster on GCP - Dataproc
  • Spark Components
  • Spark Executions – Spark Session
  • RDD
  • Spark DataFrames
  • Spark Core
  • Spark SQL
  • Spark MLlibs
  • Spark Streaming
  • Big Data and Apache Kafka
  • Producers and Consumers
  • Clusters Architectures
  • Kafka Streams
  • Kafka pipeline transformations
  • Building pipelines in Apache Airflow
  • Deploy and Monitor Data Pipelines
  • Production Data Pipeline
  • Data Lake Cloud offerings
  • Cloud Data Warehouse Services
  • Introduction to AWS platform, Creation of free account
  • Walk through the platform and services offered by AWS
  • IAM - Identity and Access Management
  • Intro to AWS Data Warehouses, Data Marts, Data Lakes, and ETL/ELT pipelines
  • Configuring the AWS Command Line Interface tool
  • Creating an S3 bucket
  • Working with Databases and various File formats (Data Lakes)
  • Amazon Database Migration Service (DMS) for ingesting data
  • Amazon Kinesis and Amazon MSK for streaming data
  • AWS Lambda for transforming data
  • AWS Glue for orchestrating big data pipelines
  • Consuming data - Amazon Redshift & Amazon Athena for SQL queries
  • Introduction to Microsoft Azure platform, Creation of free account
  • Walk through the platform and services offered by Azure
  • IAM - Identity and Access Management
  • Azure Data Lake - Managing Data
  • Securing and Monitoring Data
  • Introduction to Azure Data Factory (ADF)
  • Building Data Ingestion Pipelines Using Azure Data Factory
  • Azure Data Factory Integration Runtime
  • Configuring Azure SQL Database
  • Processing Data with Azure Databricks
  • Introduction to Azure Synapse Analytics
  • Data Transformations with Azure Synapse Dataflows
  • Monitoring And Maintaining Azure Data Engineering Pipelines
  • Introduction to GCP platform, Creation of free account
  • Walk through the platform and services offered by GCP
  • IAM - Identity and Access Management
  • Bigdata Solutions with GCP Components
  • Data Warehouse - BigQuery
  • Processing ETL/ELT pipelines with Data Fusion
  • Connecting BI tool for visualizing Data with Looker Studio
  • Architecting Data Pipelines
  • CI/CD On Google Cloud Platform for Data Engineers
SUNY University Syllabus
  • Storage Accounts
  • Designing Data Storage Structures
  • Data Partitioning
  • Designing the Serving Layer
  • Physical Data Storage Structures
  • Logical Data Structures
  • The Serving Layer
  • Data Policies & Standards
  • Securing Data Access
  • Securing Data
  • Data Lake Storage
  • Data Flow Transformations
  • Databricks
  • Databrick Processing
  • Stream Analytics
  • Synapse Analytics
  • Data Storage Monitoring
  • Data Process Monitoring
  • Data Solution Optimization
  • Google Cloud Platform Fundamentals
  • Google Cloud Platform Storage and Analytics
  • Deeper through GCP Analytics and Scaling
  • GCP Network Data Processing Models
  • Google Cloud Dataproc
  • Dataproc Architecture
  • Continued Dataproc Operations
  • Implementations with BigQuery for Big Data
  • Fundamentals of Big Query
  • APIs and Machine Learning
  • Dataflow Autoscaling Pipelines
  • Machine Learning with TensorFlow and Cloud ML
  • GCP Engineering and Streaming Architecture
  • Streaming Pipelines and Analytics
  • GCP Big Data and Security
How We Prepare You
  • DevOps course with placements in Oman
    Additional Assignments of over 100+ hours
  • DevOps course with placements training in Oman
    Live Free Webinars
  • DevOps training institute with placements in Oman
    Resume and LinkedIn Review Sessions
  • DevOps course with certification in Oman
    Lifetime LMS Access
  • DevOps course with USP in Oman
    24/7 Support
  • DevOps certification with USP in Oman
    100% Practical Oriented Course
  • DevOps course with USP in Oman
    Complimentary Courses
  • DevOps course in Oman
    Unlimited Mock Interview and Quiz Session
  • DevOps training with placements in Oman
    Hands-on Experience in Live Projects
  • DevOps course in Oman
    Life Time Free Access to Industry Webinars

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Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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