GitHub

How to work with database Partitions

Partitioning is a database design technique when data is split across multiple tables or databases but is logically still one table. This technique is proper when dealing with large tables, as it can ...
theregister

AWS introduces S3 Tables, a new bucket type for data analytics

RE:INVENT There are two important changes to AWS's ubiquitous S3 storage service arriving soon: first, a new Table bucket type aimed at data analytics; and second, a previewed metadata feature that ...
Microsoft

Working with time series data in SQL Server 2022 and Azure SQL

Part of the SQL Server 2022 blog series. Time series data is a set of values organized in the order in which they occur and arrive for processing. Unlike transactional data in SQL Server, which is not ...
InfoWorld

Writing server-side code in Azure Cosmos DB

Azure Cosmos DB, Microsoft’s cloud-scale distributed database, is designed to offer the APIs and the storage model you need for your applications. Want a NoSQL database? Use the MongoDB or Cassandra ...
Microsoft

Introducing Microsoft SQL Server 2019 Big Data Clusters

Yesterday at the Microsoft Ignite conference, we announced that SQL Server 2019 is now in preview and that SQL Server 2019 will include Apache Spark and Hadoop Distributed File System (HDFS) for ...
GitHub

import-and-export-bulk-data-by-using-the-bcp-utility-sql-server.md

This topic provides an overview for using the bcp utility to export data from anywhere in a [!INCLUDEssNoVersion] database where a SELECT statement works, including partitioned views. The bcp utility ...