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
4,202 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
5,341 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
4,598 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
2,791 reads
Learn how you can query CosmosDB data from Azure Synapse in this walkthrough.
2020-12-17
6,774 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
6,530 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
46,591 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
12,919 reads
Learn how you can use Polybase technology in Azure Synapse to load data into your warehouse.
2020-07-28
28,100 reads
This article shows a basic Azure Data Factory pipeline to load data into Azure Synapse.
2020-07-20
11,231 reads
Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...
By Steve Jones
It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...
By Steve Jones
Software is hard. While I love our Lucid Gravity, I realize that they are...
Comments posted to this topic are about the item Adding new column with DEFAULT...
Comments posted to this topic are about the item Advanced Deployment Scenarios: Stairway to...
Comments posted to this topic are about the item You Need a DBA Pipeline
Which number did the two COUNT(*) return:
DROP TABLE IF EXISTS #tmp CREATE TABLE #tmp (id INT NOT NULL) INSERT INTO #tmp (id) SELECT gs.value FROM GENERATE_SERIES(1, 5) AS gs ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1 SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1 ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value SELECT COUNT(*) FROM #tmp AS t WHERE my_value = 1See possible answers