Azure Synapse Analytics- Interview Questions | Serverless SQL Pool VS Dedicated SQL Pool with Demo

#AzureSynapse #SQLPools #InterviewPrep #DataAnalytics #CloudComputing #Azure #SynapseAnalytics #Serverless #DedicatedSQL #DataManagement #Database #DataWarehousing #BigData #TechExplainer #TechTutorial #TechEducation #TechInsights #DataScience
In this video, we're diving deep into the world of Azure Synapse Analytics, focusing specifically on Serverless SQL Pools vs Dedicated SQL Pools. If you're preparing for an interview or simply want to enhance your knowledge of Synapse Analytics, you're in the right place!
In this comprehensive guide, we cover the fundamental differences between Serverless and Dedicated SQL Pools, addressing common interview questions and providing practical insights for decision-making.
Starting with a clear definition of each pool type, we explore their advantages and disadvantages. With Serverless SQL Pools, you'll learn about its cost-effectiveness and quick accessibility, perfect for scenarios with unpredictable workloads. Conversely, Dedicated SQL Pools offer scalability and efficiency, making them ideal for handling high workload operations.
But that's not all! We delve into the nitty-gritty details, discussing when to opt for each type based on your project's requirements. Whether you need flexibility and ad-hoc querying capabilities (Serverless) or robust performance and scalability (Dedicated), we've got you covered.
Additionally, we address crucial considerations such as cost-effectiveness and performance optimization, providing valuable insights to help you make informed decisions.
By the end of this video, you'll have a clear understanding of when to choose Serverless SQL Pools and when to opt for Dedicated SQL Pools, empowering you to excel in your interviews or project implementations.
If you've encountered any challenging interview questions lately or have specific topics you'd like us to cover, drop a comment below! Your feedback fuels our content creation process.
Don't forget to like, share, and subscribe for more insightful videos on Azure Synapse Analytics and other exciting topics. Thank you for watching, and we'll see you in the next video! Cheers! 🚀🔍
TimeStamp:
0:00:00 - Intro
0:01:10 - What is Serverless DB and Dedicated DB
0:02:51 - Advantages of Serverless DB
0:04:01 - Advantages of Dedicated DB
0:05:18 - Dis-Advantages of Serverless DB
0:06:40 - Dis-Advantages of Dedicated DB
0:08:59 - When to go for What?
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[@ugandarhari]

It was nice content. I had an interview question on performance issue of using Merge into query in Databricks and what is the best way to load the data using Spark SQL or PySpark.
Could you please make a video on this?

[@1HourBule]

* for upserts use MERGE *
MERGE INTO myTable USING myData
* Loading via autoloader, you need to read the stream first *
val df = spark.readStream.format("cloudFiles")
.option("cloudFiles.format", "json")
.load("/input/path")
df.writeStream.trigger(Trigger.Once)
.format("delta")
.start("/output/path")

[@ramjeeyadav5743]

is there any future demand for Azure Synapse as Fabric is its successor? should we learn fabric instead as a Data engineer?

[@ugandarhari]

You can learn the entire Microsoft Fabric in 3 hrs and become a Fabric expert after watching Mr. K's video.