Firebase services for android

Transcript

2. Juan Guillermo Gómez ➢ Co-Líder y Co-Fundador del GDG Cali. ➢ CEO DevHack. ➢ CTO y socio de Lead-IS Consulting. (Ekosave) ➢ Profesor Universitario. ➢ Consultor y asesor en SOA, arquitectura de software y desarrollo de software. ➢ Ingeniero de Sistemas y Telemática. ➢ Esp. y Maestría en Ing. de Software. ➢ @jggomez ➢ jggomez@devhack.co <vanidad> </vanidad>
3. Topics ➢ Experiencias. ➢ Que es y para que Firebase. ➢ Servicios de Firebase. ➢ Auth. ➢ Storage. ➢ Firestore. ➢ Crash. ➢ Performance. ➢ Analitycs. ➢ Cloud Messaging. ➢ Remote Config. ➢ Functions. ➢ ML Kit.
4. Experiences https://play.google.com/store/apps/details?id=leadis.co.ekosave_mobile
5. Experiences https://play.google.com/store/apps/details?id=org.pfccap.education
6. Experiences
7. Experiences
8. Experiences
9. Services
18. How does it work? ➢ Store data in documents. ➢ NoSQL data model. ➢ Documents are stored in collections. ➢ Documents support many different data types, from simple strings and numbers, to complex, nested objects ➢ You can also create subcollections within documents and build hierarchical data structures that scale as your database grows. ➢ Querying in Cloud Firestore is expressive, efficient, and flexible.
63. Cloud Functions Microservices
64. Cloud Functions Microservices
65. Serverless Architectures Cloud Functions
66. Serverless Architectures Cloud Functions
67. Cloud Functions
68. Cloud Functions
69. Cloud Functions
70. Cloud Functions Examples
71. Cloud Functions Examples
72. Cloud Functions Examples
73. Cloud Functions Examples
74. Machine Learning ➢ Learning is any process by which a system improves performance from experience. ➢ Machine Learning is concerned with computer programs that automatically improve their performance through experience. Hebert Alexander Simon
75. ML Kit for Firebase ➢ Mobile machine learning for all skill levels ➢ ML Kit lets you bring powerful machine learning features to your app. ➢ Android and iOS. ➢ You should not have ML experience. ➢ Production ready for common uses cases. ➢ On-device or in the cloud. ➢ Deploy custom models. ➢ Google cloud visión API, Tensorflow Lite, Android Neural Networks API
76. ML Kit for Firebase
77. Text Recognition
78. Text Recognition
79. Text Recognition
80. https://www.facebook.com/escueladevhack/ Escuela de Hackers www.devhack.co https://github.com/escueladevhack