NoSQL.AP1
NoSQL Distilled
Learn NoSQL databases and how to use popular tools like MongoDB, Cassandra, and Neo4j.
- Practice in 13 Laboratorios prácticos — nothing to install
- 16 Lecciones interactivas y 86 topics mapped to the official exam objectives
- 143 Preguntas del examen de práctica
Intermediate A tu propio ritmo · 1 año de acceso
13 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
16Lecciones interactivas
86Topics
13Laboratorio en vivo
143Preguntas del examen de práctica
53Tarjetas didácticas
53Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
Try Free →
No se requiere tarjeta de crédito
This NoSQL course will polish your skills in working with modern databases. You’ll learn the basics of NoSQL databases, including key-value stores, document databases, column-family stores, and graph databases. Through hands-on exercises, you’ll understand how to store, manage, and access data. Whether you’re looking to improve your data modeling, explore sharding and replication, or simply choose the right database for your project, this NoSQL course gives you the confidence to excel in today’s data-driven world.
- Understand the key differences between relational and NoSQL databases to make informed technology choices
- Build and manage databases using MongoDB, Cassandra, and Neo4j for real-world applications
- Model data with key-value, document, column-family, and graph data models to handle complex data
- Implement sharding and replication techniques to improve data distribution and performance
- Apply Map-Reduce for processing large data sets in a distributed environment
- Master consistency and schema migrations to ensure smooth database operations
- Optimize data access and query performance across various NoSQL database types
- Choose the right NoSQL database for your project needs by analyzing use cases and performance factors
Course Highlights
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16 Lecciones estructuradas Cobertura completa de los objetivos principales del curso
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13 LiveLabs prácticos Escenarios interactivos guiados con evaluación instantánea
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143 Preguntas de práctica Pruebas de evaluación con justificaciones de respuesta detalladas
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1 año de acceso completo Aprendizaje a tu propio ritmo, accesible en cualquier momento y en todos los dispositivos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
16 Lecciones interactivas · 86 topics01 Preface 5 topics +
- Why Are NoSQL Databases Interesting?
- What’s in the Course
- Who Should Read This course
- What Are the Databases
- Acknowledgments
02 Why NoSQL? 6 topics +
- The Value of Relational Databases
- Impedance Mismatch
- Application and Integration Databases
- Attack of the Clusters
- The Emergence of NoSQL
- Key Points
03 Aggregate Data Models 6 topics · 1 Laboratorio en vivo +
- Aggregates
- Key-Value and Document Data Models
- Column-Family Stores
- Summarizing Aggregate-Oriented Databases
- Further Reading
- Key Points
1 Laboratorio en vivo in this lesson — see the labs panel →
04 More Details on Data Models 6 topics +
- Relationships
- Graph Databases
- Schemaless Databases
- Materialized Views
- Modeling for Data Access
- Key Points
05 Distribution Models 6 topics +
- Single Server
- Sharding
- Master-Slave Replication
- Peer-to-Peer Replication
- Combining Sharding and Replication
- Key Points
06 Consistency 7 topics +
- Update Consistency
- Read Consistency
- Relaxing Consistency
- Relaxing Durability
- Quorums
- Further Reading
- Key Points
07 Version Stamps 3 topics +
- Business and System Transactions
- Version Stamps on Multiple Nodes
- Key Points
08 Map-Reduce 5 topics +
- Basic Map-Reduce
- Partitioning and Combining
- Composing Map-Reduce Calculations
- Further Reading
- Key Points
09 Key-Value Databases 4 topics +
- What Is a Key-Value Store
- Key-Value Store Features
- Suitable Use Cases
- When Not to Use
10 Document Databases 4 topics · 2 Laboratorio en vivo +
- What Is a Document Database?
- Features
- Suitable Use Cases
- When Not to Use
2 Laboratorio en vivo in this lesson — see the labs panel →
11 Column-Family Stores 4 topics · 6 Laboratorio en vivo +
- What Is a Column-Family Data Store?
- Features
- Suitable Use Cases
- When Not to Use
6 Laboratorio en vivo in this lesson — see the labs panel →
12 Graph Databases 4 topics · 3 Laboratorio en vivo +
- What Is a Graph Database?
- Features
- Suitable Use Cases
- When Not to Use
3 Laboratorio en vivo in this lesson — see the labs panel →
13 Schema Migrations 5 topics · 1 Laboratorio en vivo +
- Schema Changes
- Schema Changes in RDBMS
- Schema Changes in a NoSQL Data Store
- Further Reading
- Key Points
1 Laboratorio en vivo in this lesson — see the labs panel →
14 Polyglot Persistence 8 topics +
- Disparate Data Storage Needs
- Polyglot Data Store Usage
- Service Usage over Direct Data Store Usage
- Expanding for Better Functionality
- Choosing the Right Technology
- Enterprise Concerns with Polyglot Persistence
- Deployment Complexity
- Key Points
15 Beyond NoSQL 7 topics +
- File Systems
- Event Sourcing
- Memory Image
- Version Control
- XML Databases
- Object Databases
- Key Points
16 Choosing Your Database 6 topics +
- Programmer Productivity
- Data-Access Performance
- Sticking with the Default
- Hedging Your Bets
- Key Points
- Final Thoughts
Laboratorios prácticos Our edge
13 Laboratorio en vivos- Building the Sample Data in MongoDB
- Using the find Query in MongoDB
- Using db.runCommand() in MongoDB
- Creating a Super Column Family in Cassandra
- Creating a Column Family in Cassandra
- Inserting and Reading Data in CQL
- Using the DELETE Query in Cassandra
- Using the SELECT Command in Cassandra
- Using the UPDATE Query in Cassandra
- Indexing Nodes in a Graph in Neo4j
- Creating a Graph in Neo4j
- Using the Cypher Query Language
- Writing and Reading Document in MongoDB
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Which NoSQL database is the most popular? +
MongoDB is one of the most popular NoSQL databases due to its flexibility, ease of use, and strong community support.
What is the difference between NoSQL vs SQL databases? +
SQL databases are relational and use structured query language to define and manipulate data in tables with fixed schemas. NoSQL databases are non-relational, offering more flexibility with data storage by using formats like key-value pairs, documents, or graphs, and they can scale more easily across distributed systems.
Who is this course designed for? +
This course is ideal for developers, data professionals, and IT enthusiasts looking to better understand NoSQL databases.
What are the prerequisites for this course? +
There are no formal prerequisites for this NoSQL database course, but a basic understanding of databases and data storage concepts will be helpful.
Why should I learn NoSQL databases? +
Learning NoSQL databases will give you the knowledge and skills to work with modern, scalable, and flexible database systems. Their demand is increasing in industries like e-commerce, social media, and big data.
What should I do after completing this course? +
After completing this course, you can explore advanced topics in database management, practice using specific NoSQL systems like MongoDB or Cassandra, or even pursue certification in NoSQL databases to strengthen your position in the talent pool.
NoSQL Databases Training for Developers
Get the training to build, manage, and optimize modern databases designed for today’s fast-paced applications.
- 1 año de acceso completo
- 13 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito