建立「中繼資料存放區」資料庫 (使用 Azure SQL Database) 供 Hive 用來儲存結構描述。 建立HDInsight 叢集並連接資料存放區。 定義要在讀取階段套用至資料存放區中資料的結構描述: hql DROP TABLE IF EXISTS hvac; --create the hvac table on comma-separated sensor data stored in Azure Storage blobs C...
streamlines complex data workflows. It allows you to integrate vast amounts of data using more than 90 built-in connectors and supports both ETL and ELT processes. Organizations will also appreciate Azure Synapse Analytics, a platform tool that allows you to easily derive insights from your ...
or Azure.ETL 工具是帮助您执行提取、转换和加载过程的服务。简而言之，ETL 软件允许公司从多个来源收集...
Data sources: ETL tools should be able to meet data "where it lives," whether it is on-premise or in the cloud.ETL connectorsare the components of an ETL tool that establish connections to data sources.Organizations may also have complex data structures or unstructured data, all in different...
创建元数据存储数据库(使用 Azure SQL 数据库)供 Hive 用于存储架构。 创建HDInsight 群集并连接数据存储。 定义要在读取阶段应用到数据存储中的数据的架构: hql DROP TABLE IF EXISTS hvac; --create the hvac table on comma-separated sensor data stored in Azure Storage blobs CREATE EXTERNAL TABLE h...
Azure Data Factory G2 rating: 4.5 out of 5 Azure Data Factory is a serverless data integration service that allows customers to simplify hybrid data integration at an enterprise scale. It has 90+ built-in connectors to integrate data sources with and allows users to build ETL and ELT pipe...
Bonus ETL Tool Matillion Matillion is one of the best cloud-native ETL tools designed for the cloud. It can work seamlessly on all significant cloud-based data platforms, such as Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, and Delta Lake on Databricks. Matillion’s intuitive in...
Alooma is a part of Google Cloud now. It is an ETL data migration tool for data warehouses. It is a real-time data pipeline platform that allows customers to combine all their data sources into services like Google BigQuery, Amazon’s Redshift, Snowflake, and Azure. ...
Many businesses use more than one cloud-native tool, as each includes connectors for different data sources and each has its own strengths and weaknesses. Examples include Segment, RudderStack, and Azure Data Factory. How to Evaluate ETL Tools So, which ETL tools are right for your ...
Finally, an ETL tool should be able to integrate with other tools in your tech stack for a seamless workflow. Depending on the tool, most of the above process is completely streamlined. Pre-built data connectors will extract, transform, and load data to a target system with little or no...