Introduction Big data consists of very large datasets, which can be structured, unstructured, and semi-structured. Data may be coming from various data sources in real-time or in batches. The traditional tools and technologies we have used in the past are not capable of processing and storing all this data in an efficient way. We need […]
2021-04-26
4,169 reads
Introduction Relational database design helps to create a set of relations and tables, which are connected with each other through some defined relationships. The main purpose of relational database design is to preserve the information and minimize data redundancy. We need to follow some design guidelines for relational schemas to maintain the quality of the […]
2021-02-23
5,316 reads
Introduction In my last article, Discussion on Normalization and Database Design Concepts, I discussed about the normalization concepts. Here, I will take one table in SQL Server and implement different normal forms. As we move up the higher normal forms, we end up on more number of tables. Implementation of Normal Forms Let us start […]
2021-02-22
4,561 reads
Introduction In my last article, Using Azure Synapse Link for Azure Cosmos DB , I discussed creating the Synapse Link to query data present in Azure Cosmos DB from my Synapse workspace. Here, I will create a new database in the serverless SQL pool and create views based on the Cosmos DB JSON files. Then, I will […]
2021-01-12
2,696 reads
Learn how you can query CosmosDB data from Azure Synapse in this walkthrough.
2020-12-17
6,653 reads
Introduction Azure Cosmos DB is Microsoft's globally distributed, multi-model platform-as-a-service (PaaS) database. Any web, mobile, gaming, and IoT application that needs to handle massive amounts of structured, semi-structured and unstructured data may use Azure Cosmos DB. Guaranteed high availability, high throughput, low latency, and tunable consistency help in reading and writing data at a global […]
2020-11-16
6,466 reads
Introduction In my last article, Loading data in Azure Synapse Analytics using Azure Data Factory, I discussed the step-by-step process for loading data from an Azure storage account to Azure Synapse SQL through Azure Data Factory (ADF). ADF basics are covered in that article. In this article I will go through the process for the incremental […]
2020-09-24
46,216 reads
Introduction The Azure Synapse workspace is in preview mode as of July 2020. The workspace brings together enterprise data warehousing and big data analytics. This workspace has the best of the SQL technologies used in enterprise data warehousing, Spark technologies used in big data analytics, and pipelines to orchestrate activities and data movement. Here, I […]
2020-08-24
12,797 reads
Learn how you can use Polybase technology in Azure Synapse to load data into your warehouse.
2020-07-28
28,004 reads
This article shows a basic Azure Data Factory pipeline to load data into Azure Synapse.
2020-07-20
11,176 reads
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hi everyone I am not sure how to write the query that will produce...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers