Introduction Power BI is a collection of software services, apps, and connectors working together. It helps to connect different data sources and get visually immersive and interactive insights from the data. Power BI creates powerful reports to be shared with others, as required. Data may be connected from different sources including files, databases, Azure services, […]
2021-07-12
8,354 reads
This article helps to create a data flow in Azure Data Factory, add conditional split logic to the flow, and transfer data from a file to an Azure SQL Database.
2021-07-05 (first published: 2021-06-04)
5,875 reads
Introduction Azure Storage is the service for storing different types of data. A storage account is created first. The storage account provides a unique namespace for different types of Azure storage data accessible from anywhere in the world over HTTP or HTTPS. Data in the Azure storage account is durable and highly available, secure, and […]
2021-06-14 (first published: 2021-05-01)
7,582 reads
Introduction In my last article, An Introduction to Azure Data Explorer, I discussed the process of creating and using Azure Data Explorer. Azure Data Explorer is mainly used for storing and running interactive analytics on Big Data. First, I need to create the ADX cluster. Then, one or more databases should be created inside the […]
2021-06-02 (first published: 2021-04-09)
26,315 reads
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
4,170 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
4,562 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
6,657 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
6,475 reads
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Comments posted to this topic are about the item Fun with JSON II
Comments posted to this topic are about the item Changing Data Types
Comments posted to this topic are about the item Answering Questions On Dropped Columns
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 t1.[key] AS row,
t2.*
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t1
CROSS APPLY OPENJSON(t1.value) t2; See possible answers