The document discusses Confluence and how it compares to SharePoint. It notes that Confluence is used by 83% of Fortune 500 companies, has over 190 employees, and a marketplace of 164,000 apps. In contrast to SharePoint, Confluence provides cloud-based documentation collaboration that integrates with tools like Jira and has options for on-premise or cloud-hosted deployments.
The document discusses various topics related to APIs and pagination in Django REST Framework. It covers:
1. Pagination techniques in Django REST Framework including PageNumberPagination, LimitOffsetPagination, and CursorPagination.
2. Rate limiting techniques including AnonRateThrottle, UserRateThrottle, and ScopedRateThrottle.
3. Authentication techniques including TokenAuthentication and the djangorestframework-jwt package for JSON web tokens.
4. Other API design topics like HATEOAS, versioning, and specifying media types.
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
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Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
The document discusses various topics related to APIs and pagination in Django REST Framework. It covers:
1. Pagination techniques in Django REST Framework including PageNumberPagination, LimitOffsetPagination, and CursorPagination.
2. Rate limiting techniques including AnonRateThrottle, UserRateThrottle, and ScopedRateThrottle.
3. Authentication techniques including TokenAuthentication and the djangorestframework-jwt package for JSON web tokens.
4. Other API design topics like HATEOAS, versioning, and specifying media types.
SQL Server 使いのための Azure Synapse Analytics - Spark 入門Daiyu Hatakeyama
?
Japan SQL Server Users Group - 第35回 SQL Server 2019勉強会 - Azure Synapese Analytics - SQL Pool 入門 のセッション資料です。
Spark の位置づけ。Synapse の中での入門編の使い方。そして、Synapse ならではの価値について触れてます。
Data-Intensive Text Processing with MapReduce ch4Sho Shimauchi
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This document is written about "Data-Intensive Text Processing with MapReduce" Chapter 4.
This chapter describes how to design inverted index with MapReduce algorithm.
Kenshi Muto has been an official developer for the Debian Project for 11 years, answering users' questions on their mailing list over 1,956 times. The document provides information about Muto, his work reproducing and solving issues for Debian, and credits the sources of various figures included.