Working with Spark SQL | Data Engineer Full Course | Lecture 17
ฝัง
- เผยแพร่เมื่อ 20 ธ.ค. 2024
- Welcome to the seventeenth lecture of the Data Engineering Full Course series by AmpCode! 🚀 In this video, we’ll explore Spark SQL, a module in Apache Spark that enables querying structured data using SQL syntax. Spark SQL is a must-know tool for data engineers working with structured data at scale.
🔍 What You'll Learn:
Introduction to Spark SQL and its advantages
Creating and querying DataFrames using SQL
Registering temporary views and executing SQL queries on them
Integrating Spark SQL with external data sources like Hive and JDBC
By the end of this lecture, you’ll have a solid understanding of how to use Spark SQL to perform efficient data queries and analytics in your Spark applications.
🔔 Don’t forget to subscribe to AmpCode for more lectures and updates. If you find this video insightful, please like it and share it with your network. Let’s continue advancing our data engineering expertise together!
---------------------------------------------------------------------------------------------------------
Installation links:
Oracle VM Virtualbox: download.virtu...
HDP Sandbox link(step-by-step procedure): hackmd.io/@fir...
HDP Sandbox installation guide: hortonworks.co...
-------------------------------------------------------------------------------------------------------------
Also check out our full Apache Hadoop course:
• Big Data Hadoop Full C...
----------------------------------------------------------------------------------------------------------------------
Apache Spark Installation links:
1. Download JDK: www.oracle.com...
2. Download Python: www.python.org...
3. Download Spark: spark.apache.o...
-------------------------------------------------------------------------------------------------------------
-------------------------------------------------------------------------------------------------------------
Also check out similar informative videos in the field of cloud computing:
What is Big Data: • What is Big Data? | Bi...
How Cloud Computing changed the world: • How Cloud Computing ch...
What is Cloud? • What is Cloud Computing?
Top 10 facts about Cloud Computing that will blow your mind! • Top 10 facts about Clo...
Audience
This tutorial has been prepared for professionals/students aspiring to learn deep knowledge of Big Data Analytics using Apache Spark and become a Spark Developer and Data Engineer roles. In addition, it would be useful for Analytics Professionals and ETL developers as well.
Prerequisites
Before proceeding with this full course, it is good to have prior exposure to Python programming, database concepts, and any of the Linux operating system flavors.
-----------------------------------------------------------------------------------------------------------------------
Check out our full course topic wise playlist on some of the most popular technologies:
SQL Full Course Playlist-
• SQL Full Course
PYTHON Full Course Playlist-
• Python Full Course
Data Warehouse Playlist-
• Data Warehouse Full Co...
Unix Shell Scripting Full Course Playlist-
• Unix Shell Scripting F...
-----------------------------------------------------------------------------------------------------------------------Don't forget to like and follow us on our social media accounts:
Facebook-
/ ampcode
Instagram-
/ ampcode_tutorials
Twitter-
/ ampcodetutorial
Tumblr-
ampcode.tumblr.com
-----------------------------------------------------------------------------------------------------------------------
Channel Description-
AmpCode provides you e-learning platform with a mission of making education accessible to every student. AmpCode will provide you tutorials, full courses of some of the best technologies in the world today. By subscribing to this channel, you will never miss out on high quality videos on trending topics in the areas of Big Data & Hadoop, DevOps, Machine Learning, Artificial Intelligence, Angular, Data Science, Apache Spark, Python, Selenium, Tableau, AWS , Digital Marketing and many more.
#pyspark #bigdata #datascience #dataanalytics #datascientist #spark #dataengineering #apachespark