Are you struggling with optimizing your app's performance? Look no further! In this informative YouTube video, we will show you how to utilize Big Query and Spring Boot to skyrocket your app's performance to new heights. Big Query is a powerful tool for processing and analyzing massive datasets, while Spring Boot provides a robust framework for building and deploying high-performance applications. Discover the perfect combination of these technologies as we dive deep into their integration, benefits, and practical implementation methods. Join us on this exciting journey to unleash the true potential of your app's performance!
Big Query is becoming the standard in many AI/ML solutions and being able to access a query result and or adding data to a Big Query Data set is something that is now needed.
Watch this lengthy video to learn the basics of Big Query from the perspective of a Java developer and learn how to access data as well as insert data as a streaming interface, not a simple DML / SQL Insert.
The streaming interface allows a massive amount of data to be loaded in an efficient manner
In this Java / Sprint Boot Project, we use the Google GCP library using Maven and connect up to the GCP servers so this will run on any system you need, for example, a local system or even another cloud provider like AWS.
Here is the source code for this video on GitHub:
https://github.com/ThomasJay/SpringBo...
CHAPTERS
00:00 Java Sprint Boot Integration with Google Big Query
01:00 Big Query console-setup
02:20 Load a CSV
03:18 Query Uploaded CSV
06:00 Create a Spring Boot Application
13:28 Adding GCP Maven Support
15:20 First Big Query in Java
22:40 Results Limited by Limit statement
24:00 Returning JSON Data from Big Query (Rest Service)
29:00 Adding Flight Holder to cleanup response
33:30 Insert data into Big Query Database from Java as Streaming content
39:30 Defining the Flight Hash Map for Streaming Insert
STAY WITH US:
Udemy classes: https://www.udemy.com/user/tomjay2
Website: https://www.thomasjayconsulting.com/
Twitter: / startupdev
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