Learn Azure Data Engineering
Data Engineering and Launch Your Career in Tech, wakad Pune- 100% Job Guarantee
- 5-20 LPA
become a Data Engineer certification training using Microsoft Azure in wakad, Pune [Updated 2024]✅
- Gain knowledge from experienced data experts
- 6 months work experience certificate
- Get average package up to 10+ LPA by becoming 3X cloud certified.
- Go above and beyond certification by creating a personal portfolio.
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Time Span
⦿ 230+ Live Session
⦿ After Every Module mock
⦿ 2 hrs Daily
Process
⦿ Live Session
⦿ after session recording uploded same day
Structure
⦿ Mock After every modules
⦿ Real -time Projects after every module
⦿ Doubt Sessions & Assignments per week
Extra
⦿ Resume Building
⦿ Linkedin Profile
⦿ Interview Prep
⦿ Nukri Profile
Why Join Data engineering Course Online in wakad, Pune
- 99% Success Rate 🚀
Communication Skills
Excellent Individualistic Communication in Interviews
Analytical Skills
we suggest that you need to understand and deeply analyze the necessities and needs of the customers. Therefore, analytical abilties and competencies are critical to successfully transform the design/code and construct a protracted-term profession in Salesforce.
Technical Skills
Apex Visualforce Javascript CSS HTML SOUL Apart from this, you ought to understand internet improvement tools like Git, Eclipse, ID, and Sublime
Problem-solving Skills and Logical Skills
We all recognize that no CRM platform is loose from errors, insects, and problems. So, wonderful realistic understanding and problem-solving talents are important for Salesforce developers. Adequate understanding and quick hassle fixing will help keep the Salesforce platform go with the flow.
In-Depth Communication
1 on 1 Coaching
Leaders in Industry
Azure Data Engineer Salary: Based on Employer
in wakad, Pune
Source :
"Glassdoor"
A Data Engineer also depends on their agency you’re operating with. According the records, organizations like Cognizant and Accenture Technology Solutions provide better salaries. we will teach you hand-on experience in our data engineering course in wakad,pune. Let’s see what some of the famous organizations provide:
Azure Data Engineer Salary: Based on Experience
Source :
Ambition box
Is Data engineering in high demand?
Data Analyst, Data Scientist, Data Engineer: Who's the Real MVP of Data-Driven Decision Making?
Source : getrocket.com
Introduction to Data Engineering: Roadmap to Data Engineering Career
in wakad, Pune
Screening
Mandatory for students to follow Attendance, Mock & Assignment Model with min 80% score in each
Intensive Realtime Practical Sessions
90%: Practical / Scenarios Based 10%: Theory Approach gives you an exposure to real world IT Projects & case studies course completion
Industry Projects
Real time Industry Projects to make you ready to your dream job
Resume Prep
We make you interview ready by helping you choose the most relevant details to be added in every section of your resume
Mock Interviews
Mock Interviews are conducted to familiarise students with the actual interview. They are asked technical & Hr Questions Frequently asked by recruiters.
Portfolio
Naukri & LinkedIn The only It training institute in the market training students in Naukri & LinkedIn to take you closer to your dream job.
Get Placed
Still not convinced???
REAL PEOPLE, REAL RESULTS
"Prominent" wakad, Pune
" To become a Cloud Data Engineer, you don't have to go back to your previous line of work."
Take a special sneak peek into our exclusive course.
Pre-Requisite Degree
Any Graduate
( Completed )
Job-Ready Duration
3-4 Months
Placement
100%
Job Guarantee
Data Engineering Course Syllabus
wakad, Pune
1 : Introduction to Database (what is database & sql & create table syntax & insert data into it)
2 : SQL Datatypes (Number,Char,varchar2,Date,Interval data type)(default value concept)
3 : Data integrity constraints (Not null,Unique,primary,check,foreign)
4 : DDL commands(create,alter,Drop,comment,truncate,Rename) & DML(Insert,update,delete) commands & TCL commands(commit,Rollback)
5: SQL Operators (Arithmetic,Relational,logical,In,Between,Like,||,Is Null,Is Not Null)
NVL & NVL2 & Coalesce
6 & 7 : Aggregate Functions(Min,max,sum,count) & window functions (dense_rank(),rank(),row_number())
Group By & Having Clause & Order By
Trunc & round function
8: Subqueries (scaler,multi valued,multi column,nested subquery)
9: Introduction to joins (inner,left,right,full outer,cross,self)
10: Joins questions
11: Joins questions
12: string functions(substr,Instr,lower,upper,replace,ltrim,rtrim,distinct)
13: Case statement & CTE & Index &Set operators(Union,union all,minus,intersect)
SQL optimization techniques
Fact & dimension tables
Star schema &snowflake schema
14: SQL Interview questions
1 : Introduction to Linux
-Overview of Linux and its History
-File system structure
-Introduction to the terminal
-Basic Commands (date,cal,uname,ls,who,echo,file,last,tree)
2: Commands
– Vi editor
– Cat, tac, rev, touch, mkdir, rmdir, rm, cp, mv, cd, head, tail, more
3 : Commands
– diff, gzip, gunzip, tar, Soft link, Hard link , wc, pipe, cut, paste, tr, sort, uniq, split
4 : Commands
– grep, sed, Chmod, umask, chown, find, ping,df,du
1: Introduction to Python
Installating python and setting up the development environment
2: Data Types in Python Part 1
3: Data Types in Python Part 2
4: Data Types in Python Part 3
5: Operators in Python
Input function
6 , 7 & 8: Control Statements
-if statement
-if .. else statment
-if ..elif..else statment
-while loop
-for loop
-break statment
-continue statment
-pass statment
9: Functions in Python
-In built & user defined functions
10: Modules, Packages and libraries
11: Special Type of functions
12: Regular expression
date and time modules
13: Python programs practice
14 & 15: Pandas library in python
-
1: Hadoop intro
Hadoop vs Spark
Spark Architecture
2: Rdd introduction
Transformations
Spark internal work flow
3: Rdd ,map, flatmap, filter, ReduceBykey, groupBykey
DAG,Rdd Lineage
4: Rdd to dataframe
Dataframe intro
SparkSession vs SparkContext
csv data process
5: Spark Built in functions part 1
6: Spark Built in functions part 2
7: Spark date functions & windows functions
8: Spark json data processing in detail
9: Spark procces pandas & data cleaning
10: Spark process avro, parquet, orc in dpeth
Avro vs Parquet vs Orc file formats.
11: Spark Jdbc, oracle, mysql data process
12: Handling currepted records scenarios in details (Data Cleaning)
13: Data Migration
Spark Submit
14: Handle incremental data (Merge Upsert Concept in spark)
15: Spark performance tuning part 1
16: Spark performance tuning part 2
Day 17: Spark Scenario based Interview Questions
- Configure management groups
-
1: Introduction to Azure Cloud
– Overview of cloud computing and azure
– Understanding Azure services and solutions
– Creating an Azure Account and subscription
2: Azure Virtual Machine
3: Azure Storage
Blob Storage
ADLS Gen2
4: Azure Database
5: Azure Synapse
6 to 8: Azure Databricks & Azure Devops
-All the deployment Activities from building notebook to publish.
-Azure Key Vault
9 to 14: Azure Data Factory (ADF)
Activities:
-Copy Activity
-GetMetadata Activity
-ForEach Activity
-Lookup Activity
-If Condition
-Delete Activity
-Debug Until Activity
-Execute Pipeline Activity
-Notebook Activity
15: Azure Scenario Based Interview questions
1: History and Introduction to Snowflake.
- Snowflake history
- Introduction to virtual warehouses, databases, and schemas
2: Snowflake architecture and account creation.
- Snowflake architecture
- Setting up a Snowflake account and environment
- Steps to create a Snowflake account
3: Data Loading
- Loading data into Snowflake from various sources:
- Explanation of supported file formats (CSV, JSON, Parquet, etc.).
- Using Snowflake’s COPY INTO command to load data from cloud storage or local files.
4: Data Modeling
- Introduction to structured, semi-structured, and unstructured data.
- Creating tables and schemas in Snowflake:
- Syntax for creating databases, schemas, and tables.
5: Querying Data
- Writing SQL queries in Snowflake to retrieve and manipulate data:
- Basic SQL syntax for querying tables, filtering rows, and selecting columns.
- Performing simple calculations and transformations using SQL functions (joins, window functions).
6: Data Transformation
- Introduction to Snowflake’s data transformation capabilities using SQL:
- Overview of data transformation tasks such as filtering, aggregating, and sorting data.
- Understanding the role of SQL in ETL (Extract, Transform, Load) processes.
7: Security and Access Control
- Managing users, roles, and privileges in Snowflake:
- Creating and managing users, roles, and permissions.
8: Monitoring and Optimization
- Overview of performance optimization techniques for data loading, querying, and data modeling.
- Zero copy cloning
- Internal stage/ external stage
- Overview of Snowpipe
- Introduction to Snowflake’s documentation and online resources.
What's the difference between a data analyst and a data engineer?
Data scientists and data analysts analyse facts units to glean information and insights. Data engineers construct structures for gathering, validating, and getting ready that exceptional data. Data engineers acquire and put together the facts, and records scientists use the statistics to promote better business decisions.
Demand for Data engineering is growing wakad, Pune
More Supply, Less Demand
The demand for data engineers compared to data scientists and data analysts is a mirrored image of the evolving wishes of the industry. As of recent statistics:
Data Engineers: They are in high demand due to the want for robust statistics infrastructure. Companies are searching out experts who can construct and control the systems that allow for efficient statistics collection, storage, and processing.
Data Scientists: While additionally in high call for, the focal point on records scientists has been severe, and there’s a growing consciousness that without the proper statistics infrastructure that engineers provide, records scientists can’t carry out their roles effectively.
Data Analysts: They are essential for decoding facts and supplying actionable insights, however, their position is often taken into consideration entry-stage as compared to the greater technical roles of facts engineers and scientists.
Azure Data Engineering Training and Certification Course
Overview [2024 ] ✅
Learn from the best training institute to develop your Azure data engineering talent set. Prominent Academy is an institute that focuses on more than one category of Azure data engineering training in wakad ,Pune of courses we can teach you Cloud infrastructure on Azure using services such as compute spark,python, azure cloud, snowflake, & more We supply you the great training required in your azure data engineering career elements. Pursuing a data engineering course in wakad, Pune from Prominent Academy will groom you, wherein you will Python with an emphasis in building data pipelines, complex SQL to perform common types of analysis and aggregations , Apache Airflow or Google Composer , Azure Databricks, Azure Data Lake Store, Azure Data Factory, PySpark , Data Lake raw enriched curated layer concepts and ETL within the Azure framework. apply for a free live session & join best azure devops Courses in Pune to get a high package like 10- 15 lpa & get certified azure data engineer.
Learn Azure Data engineering with Our Online Training
with Placement Assistance
If you’re thinking about why our Azure data training institute in wakad, Pune offers the best azure data engineering Course with a placement Guarantee, there will be several reasons:
Researching and choosing a good institute that suits your wishes and professional goals is important.
- Design and development of data pipelines and ETL with Azure Data Factory and Databricks, including meta data driven approaches and integration of multiple data sources.
- Proficient in managing data across various stages within a Data Lake (Landing/staging, raw, trusted/curated zones) and designing data storage schemas on Azure Synapse DW.
- Expertise in big data processing and transformation using Databricks Python, along with batch and streaming processes (Kafka, Spark Streaming, Stream Analytics).
- Develop, construct, test, and maintain architectures such as databases and large-scale processing systems using Azure Synapse and Azure Data Factory.
- Leverage pySpark and SQL for data extraction, transformation, and loading processes.
- SQL queries for data extraction and analysis
- Organize backlog in the Jira ticketing tool.
the fees for a Azure Data Engineer Course
in wakad, Pune
At Prominent Academy, our Azure data engnieering course in wakad, Pune with fees offers a cheap access point into this dynamic enterprise. The pricing for azure data engieering education in shivajinagar,Pune varies based totally on elements such as ability level (newbie, intermediate, superior), path length, mode of training (online or offline), and the reputation of the organization.
We are dedicated to handing over price-powerful solutions without compromising on the best.
In India, the DP-203 certification exam is an online assessment with a fee of ₹4800 INR subject to variation depending on the country or region where the exam is proctored.
Get a Job After
Azure Data engineering certification course
The process market for Azure Data engineers specialists in wakad, Pune is booming, supplying so many opportunities for folks that whole azure data engineering course. Here are a few insights into the career landscape after your training:
- designing and implementing Data Security Frameworks on Azure, including RBAC, Azure Active Directory management, and data protection techniques.
- data access control models, row-level and object-level security, and related concepts.
- In-depth knowledge of Azure services and components relevant to data security, such as Azure AD, Azure Key Vault, Azure Policy, Managed principles, database security policy.
- problem-solving skills and the ability to translate complex business requirements into effective technical solutions.
- SQL for querying and manipulating data in relational databases.
-
Hands-on experience with data analytics tools and techniques, including data wrangling, transformation, and visualization.
-
Proficiency in PySpark for data processing and analysis tasks, including data transformation and manipulation.
Get Free Live Azure Data Engineering Sessions....
Book a Session with an industry professional today..!!!
Best course in Azure Data Engineering
In wakad , Pune
Prominent Academy has a nicely structured Azure Data engineers Training Program in wakad, Pune as well as certification guides to assist you to maximise the productiveness of your responsible for this things:
- Developing Modern Data Warehouse solutions using Databricks and Azure Stack
- We will help you to improve Ability to provide solutions that are forward-thinking in data engineering and analytics space.
- Triage issues to find gaps in existing pipelines and fix the issues.
- Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs.
- Hands-on experience in SQL, Python and Spark (PySpark).
- Azure security principles, identity and access management (IAM), network security, encryption, and compliance standards.
- Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Data Bricks, HD Insights, ML Service etc. learnings inside the Azure Data engineering training in wakad,Pune.
After Completion of the Azure data engineering course at wakad , pune
you will get
The common earnings for Azure data engineering specialists in wakad ,Pune varies depending on their experience, certifications, and specific positions. However, access-degree professionals can expect to earn around ₹5 – 7 lakhs Per annum(LPA), at the same time as skilled individuals can command up to ₹15-20 lakhs or even better.
Tips for landing an activity:
Get certified: Earning relevant azure data engineer certifications, which include Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python.
You should be able to create scalable, effective programming that can work with big datasets.
Build a portfolio: Showcase your abilities and revel in them by running on personal initiatives or internships.in that how we can set up the LinkedIn & Naukri profile build which type of keywords used to get shortlisted in any MNC
IF YOU AGREE,
THIS Cloud Computing with Data engineering COURSE AT wakad IS FOR YOU...
- You don’t understand wherein to start… you need to study cloud Part along with Devops but don’t want to waste a while
- You explored pre-recorded videos but ultimately didn't get good outcomes or even worse, you lost money.
- You attempted to getting to know from YouTube and other publications…however they just gave superficial knowledge
- You aspire to be a highly-paid developer... But how do you become it, you ask?
- You wish to advance in your role at the company but Azure cloud with data knowledge is a must for all good roles.
Azure Data Engineering Training course in wakad, Pune
FAQs
Data engineers work in diverse settings to construct structures that collect, control, and convert raw records into usable statistics for facts scientists and commercial enterprise analysts to interpret. Their closing aim is to make statistics reachable so that corporations can use it to assess and optimise their overall performance.
The Avg income for Data Engineer is ₹10,80,000 consistent with yr in the India. The average extra cash reimbursement for a Data Engineer within the India is ₹1,00,000, with a variety from ₹50,000 – ₹1,77,500.
Data engineering requires stable programming skills, records knowledge, analytical talents, and an expertise of big data technology. This manual can help you apprehend the talents you need to acquire and how to start this exciting profession route.
A strong basis in arithmetic and records is important for facts engineers to analyse and interpret information correctly. Data engineers should be capable of paintings with database management systems like MySQL and Oracle.
Some of India’s maximum famous highest paying IT joins are Azure data engineers, full stack developers, cloud architects, blockchain engineers, information scientists, software program engineering managers, cyber security engineers and huge records engineers.
To some quantity sure, positive tasks required to be completed currently by means of information engineers in the future might be automated. However, that might truly suggest that the regions of obligation of data engineers might shift toward extra strategic obligations.