- Business
- Esoteric
- Fitness & Gym
- Health
- Hypnosis
- Management
- Marketing & Selling
- Massage – SPA
- Parenting
- PUA Seduction
- Science
- Self Improvement
- Art
- Investing
- Painting & Skulping
- Tai Chi & Martial Arts
- Qigong
- Taoism
- Design & Graphics
- Medicine
- Exams
- Spirituality & Religion
- Hobbies & Fixing & Woodworking
- Photography & Film Making
- Networking & Lan
- Forex & Trading
- IQ & Memory
- Vision & Eye Care
- Swimming & Scuba diving & Water Sports
- Security & Hacking
- Travel
- Cooking
- Driving & Flighting
- Languages
- Computers & Programming
- Building & Home Improvement
- Music
- Astronomy
- History
- Mathematics
- Philosophy
- Literature & Writing
- Economics & Finance
- Sewing
- Hunting
- Electronics
- Psychology & Psychiatry
Data Engineering with Spark Databricks Delta Lake Lakehouse
$5.00
SKU:
AQL555
Category: Computers & Programming
Description
Last updated 02/2023
Duration: 2h 8m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 913 MB
Genre: eLearning | Language: English[Auto]
Apache Spark Databricks Lakehouse Delta Lake Delta Tables Delta Caching Scala Python Data Engineering for beginners
What you’ll learn
Acquiring the necessary skills to qualify for an entry-level Data Engineering position
Developing a practical comprehension of Data Lakehouse concepts through hands-on experience
Learning to operate a Delta table by accessing its version history, recovering data, and utilizing time travel functionality
Obtaining practical knowledge in constructing a data pipeline through the usage of Apache Spark on the Databricks platform
Requirements
Some understanding of Database and SQL queries
Description
Data Engineering is a vital component of modern data-driven businesses. The ability to process, manage, and analyze large-scale data sets is a core requirement for organizations that want to stay competitive. In this course, you will learn how to build a data pipeline using Apache Spark on Databricks’ Lakehouse architecture. This will give you practical experience in working with Spark and Lakehouse concepts, as well as the skills needed to excel as a Data Engineer in a real-world environment.
Throughout the course, you will learn how to conduct analytics using Python and Scala with Spark, apply Spark SQL and Databricks SQL for analytics, develop a data pipeline with Apache Spark, quickly become proficient in Databricks’ community edition, manage a Delta table by accessing version history, restore data, and utilize time travel features, optimize query performance using Delta Cache, work with Delta Tables and Databricks File System, and gain insights into real-world scenarios from our experienced instructor.
At the beginning of the course, you will start by becoming familiar with Databricks’ community edition and creating a basic pipeline using Spark. This will assist you in setting up your environment and getting comfortable with the platform before progressing to more complex topics.
Once you are familiar with the basics, you will learn how to conduct analytics with Spark using Python and Scala. This will include topics such as Spark transformations, actions, joins Spark SQL and DataFrame APIs.
In the final section of the course, you will acquire the knowledge and skills to operate a Delta table . This will involve accessing its version history, restoring data, and utilizing time travel functionality using Spark and Databricks SQL. Additionally, you will learn how to use delta cache to optimize query performance.
This course is designed for Data Engineering beginners with no prior knowledge of Python and Scala required. However, some familiarity with databases and SQL is necessary to succeed in this course. Upon completion, you will have the skills and knowledge required to succeed in a real-world Data Engineer role.
Throughout the course, you will work with hands-on examples and real-world scenarios to apply the concepts you learn. By the end of the course, you will have the practical experience and skills required to understand Spark and Lakehouse concepts, and to build a scalable and reliable data pipeline using Apache Spark on Databricks’ Lakehouse architecture.
Who this course is for
Data Engineering beginners
HOMEPAGE
https://www.udemy.com/course/data-engineering-with-spark-databricks-delta-lake-lakehouse/
Reviews (0)
Only logged in customers who have purchased this product may leave a review.
Shipping & Delivery
DIGITAL DELIVERY ONLY
This is digital product THE DOWNLOAD LINK SEND 12-24 HOURS AFTER UPON PURSUASE AND PAYMENT CLEARS"
- The digital files are uploaded on PCLOUD
- 12-24 hours delivery time
- the download links expire after 7 days and need to download them
- to renew the download link after expiration have one additional fee $5 per product
REQUESTS
Also we accept requests (in this page) and course exchanges
In Course exchanges we are sending credits only
The credits will be the same price as we can sell course
"REFUNDS & RETURNS"
No Refunds on digital product
ONLY EXCHANGE
- Because of the abuse of the refunds from many customers i don't accept refunds
- We accept only 1 time exchange with product of the same price
- if you done mistake on the exchangeable product i don't recognize it as your mistake
- Exchanges only 3 days after the payment of your digital product. (if abused again i will do it 1 day)
Related products
Hands-On MEAN Stack Web Development
Administer and Manage VMware vSphere Resources
TTC Video – Introduction to C++
$5.00
Matlab Basics for Beginners – Management
Build a Killer Business Website No Experience No Coding
$5.00
Data Structures and Algorithms – The Complete Masterclass
$5.00
Udemy – Complete Python Developer in 2020: Zero to Mastery
$5.00
Reviews
There are no reviews yet.