Descripción del curso:
Learn the benefits of big data and the underlying technologies, processes, and strategies.
Análisis y BI
Opciones de financiación para estudiantes están disponibles.
Fundamentos de Big Data
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This course is a survey of big data – the landscape, the technology behind it, business drivers, and strategic possibilities. “Big data” is a hot buzzword, but most organizations struggle to put it to practical use. Without assuming any prior knowledge of Apache Hadoop or big data management, this course teaches you how to use and manage the benefits of big data.
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Esquema del curso
- Introduction to Big Data
- Academic
- Early web
- Web scale
- Sources (Examples)
- Internet
- Transport systems
- Medical, healthcare
- Insurance
- Military and others
- Hadoop – the free platform for working with big data
- History
- Yahoo
- Platform fragmentation
- What usage looks like in the enterprise
- The concepts
- Load data how you find it
- Process it when you can
- Project it into various schemas on the fly
- Push it back to where you need it
- The basics
- What it’s good for
- What can’t it do / disadvantages
- Most common use cases for big data
- Introduction to HDFS
- Robustness
- Data Replication
- Gotchas
- MapReduce – the core big data function
- Map explained
- Sort and shuffle explained
- Reduce explained
- YARN
- How it fits
- How it works
- Resource Manager
- Application Master
- PIG
- What it is
- How it works
- Compatibilities
- Advantages
- Disadvantages
- Processing Data
- The Piggy Bank
- Loading and Illustrating the data
- Writing a Query
- Storing the Result
- HIVE
- Data warehousing
- What it is, what it’s not
- Language compatibilities
- Advantages
- OOZIE
- What it is
- Complex workflow environments
- Reducing time-to-market
- Frequency execution
- How it works with other big data tools
- FLUME – stream, collect, store and analyze high-volume log data
- How it works: Event, source, sink, channel, agent and client
- How it works illustrated
- How it works demonstrated
- SPARK
- Move over 2012 Big Data tools: Apache SPARK is the new power tool
- The new open source cluster framework
- When SPARK performs 100 times faster
- Performance comparison of Spark and Hadoop
- What else can it do?
- HBASE
- What it is
- Common use cases
- Using External Tools
Público objetivo
- Software Developer
- Ingeniero de aprendizaje automático
- científico de datos
- Business Intelligence Developer
- Research Scientist
- Ingeniero de datos
- Programmer
- Project Manager
Lo que aprenderás
- Navigate the technology stacks and tools used to work with big data
- Establish a common vocabulary on your teams for applying big data practices
- Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
- Design both functional and non-functional requirements for working with big data
- Understand common business cases for big data
- Differentiate between hype and what’s truly possible
- Look at examples of real-world big data use cases
- Select initiatives and projects that have high potential to benefit from big data applications
- Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
Inclusiones
Con CCS Learning Academy, recibirás:
- Instructor-led training
- Manual del estudiante del seminario de capacitación
- Colaboración con compañeros de clase (actualmente no disponible para cursos a su propio ritmo)
- Escenarios y actividades de aprendizaje del mundo real.
- Soporte para la programación de exámenes*
- Disfrute de asistencia para la colocación laboral durante los primeros 12 meses después de finalizar el curso.
- Este curso es elegible para el programa Learn and Earn de CCS Learning Academy: obtenga un reembolso de la matrícula de hasta 50% si se le coloca en un trabajo a través de CCS Global Tech. División de colocación*
- Precios gubernamentales y privados disponibles.*
*Para más detalles llame al: 858-208-4141 o correo electrónico: formación@ccslearningacademy.com; ventas@ccslearningacademy.com
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