DATAVALLEY Program
Start Strong your Career in Data Engineering
11 Courses
40+ Hours
4 Projects
Unlock the power of data with our comprehensive Big Data and Data Engineering Diploma. Designed for aspiring data engineers and professionals looking to advance their careers, this course offers a unique blend of foundational knowledge and advanced tools for building robust data pipelines.
What Makes this Program Unique?
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Comprehensive Curriculum
Our curriculum covers a wide range of topics, including data modeling, ETL processes, data warehousing, real-time data processing, and cloud-based data solutions.
Career-focused
We aim to place our learners on solid ground, providing the knowledge and skills needed to excel in the data engineering field. Whether you're just starting out or looking to enhance your existing skills, this diploma will help you achieve your career goals.
Continuous Updates & Live Followups
This is a continuous journey, its not courses, its a community and journey which we will be updating the content frequently in this rapid changing field.
Also we will have monthly Live Q&A Sessions to answer your questions and share updates about the content.
Start your career in Data Engineering with a Solid Foundation
Diploma Journey
Journey will be across 4 months, each month one or more courses will be opened for users.
Most of the courses will have its own projects, and by the end of the program we will have a Capstone project
Orientation (Month 1)
Introduction to Diploma Logistics, and couple of labs to setup the tools, and environments we will need for the start of the Journey
Data Fundamentals (Month 1)
Understand the basic and fundamental concepts and technologies used in the field currently, this is a very important and essential course that we will use concepts we will learn there many times during the next courses
Database Engineering (Month 1)
In this course, we will go into the backend of how databases work, which is very important for you as data engineer and data professional in general to be able to utilize the database systems and get the best out of it.
We will learn about how database store files, how it retrieves it, how queries is executed, and some of the concepts we will use as well in the coming courses
Analytics using SQL and PLSQL on PostgresSQL (Month 1)
In this course, we will learn how to write and optimize SQL scripts to apply required logic in our data pipelines, including the basic and advanced concepts in SQL using the functions available in PostgresSQL.
We will learn too about PLSQL which will enable you as data professional to build dynamic and solid data analytics applications.
Dimensional Modeling and Data Warehouse Modeling (Month 2)
Data Warehouses are there from long time and its going to be there for sometime as well, its considered one of the corner stones of data pipelines. In this course, we will learn about data modeling in general and dimensional modeling specially for building a data warehouse.
Data Integration & ETL Pipelines with Pentaho (Month 2)
Next step is to learn how to develop a full and dynamic pipelines using one of the famous and powerful tools in the market which is Pentaho, we will learn Pentaho components and how to build solid and dynamic pipelines using Pentaho transformations.
Data Integration & ETL Pipelines with SSIS (Month 3)
Next step is to learn how to develop a full and dynamic pipelines using one of the free and avaialble tools from Microsoft which is SSIS (SQL Server Integration Services) , we will learn Pentaho components and how to build solid and dynamic pipelines using Pentaho transformations.
Data Integration with Informatica Cloud Data Integration (Month 3)
Informatica is the top of the market for over 15 years in the data integration field, In this course, we will explore the available Cloud version from Informatica Cloud Platform and see how we can build data pipelines using Informatica cloud data integration services
Python Data Engineering using Pandas & Numpy (Month 3)
Covering the fundamentals of Python Programming language and how to do execute data engineering and data transformation jobs using libraries such as Pandas and Numpy
Linux Fundamentals & Shell Scripting (Month 4)
Every data engineer either working on-premise or cloud will have to deal with Linux systems at some point of time, so in this course, we will cover linux fundamentals and how to write shell/bash scripts to automate some tasks.
Building ELT Pipelines with DBT (data build tool) (Month 4)
DBT becoming increasingly popular due to the increase of cloud warehouses and modern data lakehouse solutions such as Snowflake. In this course, we will cover how to build dbt projects and how to use the main structures of dbt to develop modern ELT pipelines.
Cloud - Data Integration with ADF (Azure Data Factory) (Month 4)
In this course, we will cover one of the key solutions on the cloud which is ADF Glue, we will learn how to develop data integration pipelines using ADF.
READY TO Start your journey?
Get Started Today!
Don't hesitate to contact us and start your journey in data engineering today
Frequently Asked Question
General Questions
What we are getting once we subscribe to any of the packages?
You will get access to the package courses, monthly meeting for Live Q&A, and Community on DataValley where you can ask questions and hear about new announcements
Can I open any course within the package regardless of the order in the track?
All the package, has specific order of courses, and course will not be open until its specified time starts.
For how Long we can access the packages content?
Access to packages is life-time.
Is there are any additional cost when adding new content to the Packages?
No, Package content is one-time, and any updates or additional courses to be added to the packages is granted and included in your package.
How often content is updated?
Packages content will be updated frequently, once there is update in the technology, have new course to cover new solutions, or new use case to be added.
Flexible Payment Options
We believe learning data skills is a critical skill in the coming decade, We would like to help all who are interested to learn and take the first steps in any data skills like data engineering, data scientists, and data analysis, regardless coming from any professional background
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