This Master's course from GoLogica in Pune puts you in the step to take up high-profile data domain jobs. Master advanced data processing, pipeline development, and big data technologies like Hadoop, Spark, and Kafka. Get complete expertise in cloud platforms like AWS and Azure. He or she gets ready for the job from hands-on practice, understanding industry, and acquiring certification.
GoLogica Academic's Master Program features a structured curriculum, paving the way to Global scope.
Industry Experience
GoLogica having a 15+ years of experience on career transforming programs with industrial oriented Skills.
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Hands-on Experience
GoLogica emphasizes practical learning with exercises, projects to equip you with real world application.
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Maximum Salary Hike
150%
Average Salary Hike
75%
Haring Partners
2000+
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Data Engineering Program Details
The Data Engineering Master's course taught by GoLogica will provide the most suitable knowledge regarding the field of data engineering to the students. It will help students have a good understanding of the architecture of data pipelines, various big data frameworks, and cloud-based platforms.
As data is the core of digital transformation, the need for data engineers has also increased. The program by GoLogica is a balance of theoretical knowledge with experience and will make sure that the participant is prepared to face real-world challenges. Exposing the participant to building and managing large-scale data systems using such technologies as Hadoop, Spark, and Kafka is also part of this program.
It begins with data processing and architecture basics, teaching them to design efficient pipelines working with data, structured or unstructured. Further in the course, learners dive deeper into various major frameworks about dealing with big-data tools and technologies. They get the chance to learn and analyze problems in real-time data streaming and perform batch processing as well as the distributed data system.
Further, the curriculum will be for training in cloud-based platforms like AWS and Microsoft Azure where learners will learn to use the resources of the cloud for scalable data engineering solutions. What is so demanded by the industries is the requirement because of the large-scale shift across sectors towards cloud-based data systems.
The GoLogica students can take the benefit of expert trainers, real-world case studies, and capstone projects on subject-learning platforms to build actual solutions. This course is designed in a way that it will help students clear top data engineering certifications, thereby enhancing employability in today's competitive job market.
Those seeking a new career or career advancement for better prospects may find what the Master's program of GoLogica holds for those fast-emerging data industries in Pune. After completing the master's course successfully, you would be perfectly poised to accept a job as a Data Engineer, Data Architect, or Big Data Specialist.
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Data Engineering Syllabus
Big data Hadoop
The “Prologue to Big Data and Hadoop” is a perfect course bundle for people who need to comprehend the essential ideas of Big Data and Hadoop. On finishing this course, learners will have the capacity to translate what goes behind the preparing of immense volumes of information as the business changes over from exceeding expectations based investigation to continuous examination.
WEEK 7-9 30 Hours LIVE CLASS
Hadoop Distributed File System
Hadoop Architecture
MapReduce & HDFS
Introduction to Pig
Hive and HBase
Other eco system Map
Moving the Data into Hadoop and Data out from Hadoop
Reading and Writing the files in HDFS using java program
The Hadoop Java API for MapReduce is Mapper
Reducer and Driver Class
Writing Basic MapReduce Program In java
Understanding the MapReduce Internal Components
Hbase MapReduce Program
Hive Overview and Working with Hive
Working with Pig and Sqoop Overview
Moving the Data from RDBMS to Hadoop, RDBMS to Hbase and RDBMS to Hive
Moving the Data from Web server Into Hadoop
Real Time Example in Hadoop
Apache Log viewer Analysis and Market Basket Algorithms
Introduction in Hadoop and Hadoop Related Eco System
Choosing Hardware for Hadoop Cluster nodes and Apache Hadoop Installation
Standalone Mode
Pseudo Distributed Mode and Fully Distributed Mode
Installing Hadoop Eco System and Integrate With Hadoop
Hbase
Hive
Pig and Sqoop Installation
Horton Works and Cloudera Installation
Hadoop Commands usage and Import the data in HDFS
Sample Hadoop Examples (Word count program and Population problem)
Monitoring The Hadoop Cluster with Ganglia
Nagios and JMX
Hadoop Configuration management Tool and Benchmarking
Azure Fundamentals
This Online Training gives the fundamental learning required by all people will’s identity assessing Microsoft Azure, paying little respect to whether they are a manager, designer, or database chairman.
WEEK 1-3 30 Hours LIVE CLASS
Define cloud computing.
Shared responsibility model.
Define cloud models, including public, private, and hybrid.
Identify appropriate use cases for each cloud model.
Consumption-based model.
Compare cloud pricing models.
Benefits of high availability and scalability in the cloud.
Benefits of reliability and predictability in the cloud.
Benefits of security and governance in the cloud.
Benefits of manageability in the cloud.
Infrastructure as a Service (IaaS).
Platform as a Service (PaaS).
Software as a Service (SaaS).
Identify appropriate use cases for each cloud service (IaaS, PaaS, SaaS).
Azure regions, region pairs, and sovereign regions
Availability Zones
Azure datacentres
Azure resources and Resource Groups
Subscriptions
Management groups
Hierarchy of resource groups, subscriptions, and management groups
Compare compute types, including container instances, virtual machines, and functions
Virtual machine (VM) options, including VMs, virtual machine scale sets, availability sets, Azure Virtual Desktop
Resources required for virtual machines
Application hosting options, including Azure Web Apps, containers, and virtual machines
Define public and private endpoints
Compare Azure storage services
Storage tiers
Redundancy options
Storage account options and storage types
Identify options for moving files, including AzCopy, Azure Storage Explorer, and Azure File Sync
Migration options, including Azure Migrate and Azure Data Box
Directory services in Azure, including Azure Active Directory (AD) and Azure AD DS
Authentication methods in Azure, including single sign-on (SSO), multifactor authentication (MFA), and pass wordless
External identities and guest access in Azure
Azure AD Conditional Access
Azure Role Based Access Control (RBAC)
Concept of Zero Trust
Purpose of the defence in depth model
Purpose of Microsoft Defender for Cloud
Factors that can affect costs in Azure
Compare the Pricing calculator and Total Cost of Ownership (TCO) calculator
Azure Cost Management Tool
Purpose of tags
Features and tools in Azure for governance and compliance
Azure Blueprints
Azure Policy
Resource locks
Service Trust portal
Azure portal
Azure Cloud Shell, including Azure CLI and Azure PowerShell
Purpose of Azure Arc
Azure Resource Manager (ARM) and Azure ARM templates
Purpose of Azure Advisor
Azure Service Health
Azure Monitor, including Azure Log Analytics, Azure Monitor Alerts, and Application Insights
Microsoft Power BI
Microsoft Power BI is a suite of business examination devices to break down information and offer experiences. Power BI dashboards give a 360-degree view to business clients with their most critical measurements in one place, refreshed progressively, and accessible on the majority of their gadgets.
WEEK 8-12 30 Hours LIVE CLASS
Introduction to Power BI and Excel
Relationship between Excel &Power BI
Understanding Excel BI add
Why power BI
Downloading and installing Power BI
Power BI Desktop & Power BI Services
Building blocks of Power BI
Different external data source
Fetching data from different files
Working with import and direct query
Creating custom table in the Power BI
Merge Queries and Append Queries
Remove columns and split columns
Choosing required columns in the data
Working with different transformations
Applied steps in query editor
Working with hierarchies and measures
Pivot & Unpivot columns
Creating index and custom columns
Group By functionality in Query Editor
Creating and Working with groups
Managing the null values and errors
Data types in Query editor
Working with dynamic parameters.
Dynamic parameters to filter
Working with DAX Functions
Calculated Measures by using DAX
Parameters with DAX
Dynamic Report Filters
Expressions
Connecting to Data sources
Working with different visualizations
Table and matrix visuals
Different level of filters
Importing custom visualizations
Data Visualizations with Power BI
Single row & multi row cards
Defining relationships between tables
Creating a custom table with range
Publishing a report to Power BI Services
Working with Power BI Views
Data Hierarchies and reference lines
Power pivot data model
Data modeling
In-built slicers and custom slicers
Developing KPIs and Measures
Data from multiple Data Sources
Reports from various data sets
Dashboards from multiple reports
Working with MY WORK SPACE group and all visualizations
Creating Groups & Working
Managing Gateways & Content Packs
Adding tiles and YouTube videos
Images to the Dash Boards
Using natural language Q&A to data
Reading & Editing Power BI Views
Managing report in Power BI Services
Scheduling refresh to the Datasets
Share dashboards to Client
MongoDB Admin
MongoDB is a free and open-source cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemas. The administration documentation addresses the ongoing operation and maintenance of MongoDB instances and deployments.
WEEK 14-16 35 Hours LIVE CLASS
What Is NoSQL?
Why NoSQL databases are required.
Types of NoSQL Database
NoSQL vs SQL Comparison
ACID & BASE Property
CAP Theorem
Benefits of NoSQL databases
Installation
Start and Stop the mongodb process
Architecture
Inserting
Update
Deleting the documents
Querying the documents
Bulk insert operation
Updating multiple document
Limiting documents
Filtering documents
Schema Design and Data modeling
JSON and BSON
Storage Engines (Wired Tiger and MMAP)
Read Path
Journaling
Write Path
Working Set
Capped Collection
Oplog collection
TTL Index
GridFS
Dynamic Schema
What is Data modeling?
RDBMS and Mongodb Data modeling difference
Embedding Document
Reference Document
Index concepts in mongodb
Types of indexes
Indexes and its use cases
Creating Indexes
Managing Indexes
Index strategies
Database Administration
Troubleshooting issues
Current Operations
Rotating log files
Users and Roles
Copy and Clone database
DB and Collection Stats
Explain plan
Profiling
Changing configuration files
Upgrading the database
Backup and Security
Overview
Mongoexport / mongoimport
Mongodump / mongorestore
Oplog backups
LVM Backups
Backups using MMS/Ops Manager
Purpose of security
Authentication and authorization
Role based access control
Replication
ReplicaSet member roles
Voting and Electing primary
Role of Oplog in replication
Read and Write Concern
Arbiter
Hidden and Delayed replica node
Priority settings
Replicaset nodes health check
Concept of resyncing the nodes
Rollbacks during failover
Keyfile authentication
This is the body.Concept of Scalability
Sharding concept
Shardkey and Chunks
Choosing shardkey
Sharding components
Types of Sharding
Balanced data distribution
Sharded and Non-sharded collection
Sharded Replicaset
Tag aware sharding
GoLogica offers Linux online training and it refers to any Unix-like computer operating system which uses the Linux kernel. It is one of the most prominent examples of open source development and free software as well as user generated software; its underlying source code is available for anyone to use, modify, and redistribute freely.
WEEK 1-2 14 Hours LIVE CLASS
History of UNIX & LINUX
Basic Concepts of Operating Systems
Kernel
Sand file system structure
Different types of Installation Methods
GUI
Text
Basic concepts of Linux
Differences between Red Hat Enterprise Linux & Cent OS
Basic bash commands of Linux
Editors [GUI & CLI]
What is booting and boot process of Linux?
Init Process or Runlevels
Description of a Repository
Difference between RPM and YUM
Configuration of YUM server
Installing and deleting software packages
Querying and updating software packages
Types of Users in Linux
Creating and deleting Users and Groups
Modifying Users profile
Adding Users into the Groups
Important system files related to User & Group administration
Importance of Permissions
Types of Permissions
User level Permissions
Group level Permissions
Setting Access Level Permissions on Users & Groups
Definition of Partition
Types of Partitions
Difference between ext2, ext3 and ext4 file systems
Creating partitions using fdisk utility
Formatting partitions using mkfs to create filesystems
Mounting various filesystems temporarily and permanently
What is LVM?
Conversion of Partition into Physical Volume
Creating volume groups and logical volumes
Mounting the logical volume filesystems
Extend and Reduce the logical volumes.
Data storage using LVM
Renaming volume groups and logical volumes
Removing physical volume, volume group and logical volume
Introduction to various types of backup media
Backup and restoring using tar commands
Automation of Jobs
Configuring NFS server
Mounting NFS exports on clients
Basics of NIS
Configuring NIS Servers and client
Creating NIS users
Basics of Internet
Basics of DNS and BIND 9
Configuring DNS primary server
Configuring Linux as DHCP Server
Configuring various clients for DHCP Server
Recovering the super user password.
Troubleshooting network related problems.
Basics of Web Service
Introduction to Apache
Configuring Apache for main site
Configuring Apache for multiple sites using IP-based, port based and name-based
Basics of file sharing in Windows
Configuring Samba service for file sharing with windows systems
Basics of Mail Servers
Configuring SMTP service using sendmail
Basics of File Transfer Protocol
Configuring vsftpd for anonymous ftp service
Basics of proxy services
Configuring proxy services
Creating ACLs for controlling access to internet
Importance of logs
Configuring Syslog Messages
Network Connections
Configuring Physical IP Address
Configuring Virtual IP Address
Enabling & Disabling the Network Connections
Iptables
SQL Server
GoLogica’s training on SQL server will provide all the necessary training to become a certified SQL expert. As part of the training you will be able to manage the database solutions, manage various operations on databases, migrate it to the cloud and scale on demand. You will be able to meet all the business requirements of the project by the SQL learning’s knowledge from GoLogica.
WEEK 3-7 30 Hours LIVE CLASS
SQL Server database Overview
What is DDL
DML
Data Types
Constraints
Aggregates
Where
Group by
Having
Distinct
Top
Temp tables
Table Variables
Case Statement
Ranking Functions
Scalar Functions
Transactions
Sub Queries
CTE
Cursor
Stored Procedures
User Defined Functions
Apache Spark and Scala
GoLogica offers online training sessions to enhance your skills and develop your career in the Apache Scala and Spark domains. Join our Apache Scala and Spark certification training course now! We offer training sessions for newbies, as well as experienced professionals helping them learn Apache Scala and Spark in detail and become expert in it.
Are you thinking of developing your Apache Scala and Spark skills? If yes, then enroll in our course now! We have a team of professional trainers with years of experience in this domain and guiding beginners and experienced individuals.
30 Hrs 30 Hrs Online
To become a master in Data Engineering?
Skills Covered
Tools Covered
Career Support
Personalized Industry Session
This will help you to better understand the Data engineering.
High-Performance Coaching
you will be able to grow your career by broadening your proficiency in Data engineering.
Career Mentorship Sessions
With this, the students will be able to decide their careers in the right way.
Interview Preparation
We Help with face-to-face interaction through mock interviews & Exams
Program Fee
Program Fee: 81000 /-
72900 /-
Discount: 8100
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Debit/Credit
UPI
Data Engineering Certification
GoLogica Data Engineering Certification holds accreditation from major global companies worldwide. Upon completion of both theoretical and practical sessions, we offer certification to both freshers and corporate trainees. Our certification on Data Engineering is recognized globally through GoLogica, significantly enhances the value of your resume, opening doors to prominent job positions within leading MNCs. Attainment of this certification is contingent upon the successful completion of our training program and practical projects.
Job Outlook
Personalized Industry Session
The U.S. Bureau of Labor Statistics (BLS) forecasts a 22% increase in employment for Data Engineering from 2021 to 2031, significantly outpacing the average for all occupations. Additionally, Data Engineering Ventures predicts 2.5 million unfilled cybersecurity jobs worldwide by 2025.
High-Performance Coaching
According to the BLS, Data Engineering professionals are well-compensated. The median annual wage for Data Engineer was $113,000 and $127,339 PA It’s depending on factors such as experience, location, and specific job responsibilities.
Job Titles
Are you preparing for a interview? If yes, our expert tutors will help you with this.
Data Engineer
Big Data Engineer
Cloud Data Engineer
ETL Developer
Data Architect
Data Engineering Faq’s
The Data Engineering Master’s Program provides complete training that allows you to acquire the skills necessary to formulate, create, and oversee scalable data systems with technologies including Apache Spark, Hadoop, and Microsoft Azure, among others.
This program is suitable for IT professionals, data analysts, and software developers.
A basic knowledge of programming languages like Python, and Java and knowledge about other languages like SQL is also suggested. It is especially preferred if the candidate obtained a degree in Computer Science or Information Technology.
By the end of this program, you will know about Apache Spark, Hadoop, MongoDB, Azure, SQL Server, as well as Power BI.
The program duration changes, typically lasting between 6 and 12 months, depending on how quickly one learns and the course layout.
This program includes a combination of real-time instructor classes and independent modules, allowing you to select the format that matches your schedule.
Certainly, the program incorporates a variety of practical exercises and laboratories to give students real-world data engineering experiences.
No, it’s not necessary to have previous experience in data engineering.
You’ll engage in practical projects that include building data pipelines, using distributed computing with Spark, and designing big data solutions centered on Hadoop and cloud technology.
Core courses like Linux Fundamentals, Apache Spark, MongoDB, Hadoop, and Azure make up the program, followed by capstone projects that let learners exercise their skills on real-world tasks.
You will achieve a certification from industry experts that verifies your skills as a Data Engineer upon finishing the program and passing the assessments.
Yes, indeed, the certification is valid among the top organizations in several fields, such as technology, finance, healthcare, and retail.
Yes, the program supplies complete career resources that comprise personalized coaching, mentorship, writing resumes, and practicing interviews.
Data Engineer, Data Architect, Big Data Engineer, ETL Developer, etc.
A fresher data engineer would earn from 6 lakhs to 9 lakhs per year, while a mid-level data engineer earns from 12 lakhs to 18 lakhs per year, and the senior data engineer may earn more than 25 lakhs per year.
Yes, this program is made for beginners who have a strong grasp of programming and databases. The program launches with essential teachings and moves step by step to progressively advanced subjects.
Yes, the program contains multiple live projects where you will deal with current data engineering problems, all under the tutelage of seasoned experts.
By attending the instructor-led sessions, you can interact with instructors and get prompt responses to queries.
You will get ongoing learning support that is available 24/7, live instructor meetings, and entry to a collaborative learning community of your peers.
Tests are done via quizzes, practical projects, and culminating projects that assess your knowledge and practical expertise.
Yes, the program is flexible; it does not have a set schedule for classes; it has modules that students can do at their own pace, and there are weekend classes.
No, all the software and tools required for the course will either be provided in the course or are free and open-source software.
Yes, some projects can be teamwork to provide learners with the practical experience of working with other learners in data engineering roles.
Visit the GoLogica website and complete the application form with the required details.
The content is updated from time to time to incorporate the latest developments in the field of data engineering adopted in industries.
Yes, you have the flexibility of pausing the self-paced learning activities and continuing learning at your own pace. Nevertheless, it is better to adhere to the schedule for instructor-led meetings.
Yes, the program offers career services such as application and resume writing as well as interview preparation.
Data engineers are highly sought after in different industries, such as IT and E-commerce.
Yes, the program involves extensive learning on cloud solutions, which are cloud data engineering on platforms such as Microsoft Azure.
This program will equip you with the required technical competencies and applied learning to meet the challenges of current and future careers in data engineering and professional mentorship to support your career journey.
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