- Hands-On Data Science with SQL Server 2017
- Marek Chmel Vladimír Mu?n?
- 122字
- 2021-06-10 19:14:00
Data Sources for Analytics
In this chapter, we will review various sources of data that we can import and process in SQL Server for any analytical and data science techniques. This data can come from other database systems, flat files, application-specific files such as Excel, and web sources, among others. In regards to data structure, we can consider the data to be imported as structured, semi-structured, or unstructured. Based on the source and type of data, we have different tools in place that we can use to store the data in an SQL Server database.
We will cover the following topics in this chapter:
- Getting data from databases
- Importing flat files
- Working with XML data
- Working with JSON
- External data with PolyBase
推薦閱讀
- Unreal Engine:Game Development from A to Z
- 工業機器人產品應用實戰
- AWS:Security Best Practices on AWS
- 樂高機器人EV3設計指南:創造者的搭建邏輯
- 反饋系統:多學科視角(原書第2版)
- 輕松學Java
- 精通Windows Vista必讀
- IoT Penetration Testing Cookbook
- 塊數據5.0:數據社會學的理論與方法
- LAMP網站開發黃金組合Linux+Apache+MySQL+PHP
- FPGA/CPLD應用技術(Verilog語言版)
- Pentaho Analytics for MongoDB
- 機床電氣控制與PLC
- 深度學習原理與 TensorFlow實踐
- 計算機組裝與維修實訓