Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including detecting and analyzing events, user analysis for geo-targeted ads and political elections, and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to analyze and manage microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data analysis, management, and systems. The tutorial gives a comprehensive review for research efforts that are trying to analyze microblogs contents to build on them new functionality and use cases. In addition, the tutorial reviews existing research that propose core data management components to support microblogs queries at scale. Finally, the tutorial reviews system-level issues and on-going work on supporting microblogs data through the rising big data systems. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.