________________________________________________________________
Do you want to take this course remotely or in person?
Contact us by email: info@nanforiberica.com , phone: +34 91 031 66 78, WhatsApp: +34 685 60 05 91 , or contact Our Offices
________________________________________________________________
Course Description: Big Data Architecture
This course is taught in online mode and consists of 8 units . The duration of the course is 115 hours which is distributed between the content and collaboration tools. Upon completion, the student will receive a accreditation diploma.
Training is carried out through our Virtual Campus, With this option, you'll have all the educational content on the course platform, and it will be accessible 24 hours a day, 7 days a week, from the day the course starts. The student will also have access to participation forums , as well as a continuous tutoring .
Course objectives
Gain an in-depth understanding of the different processing paradigms in Big Data systems and master the key technologies and their use in designing scalable architectures tailored to each project.
Course content
Unit 1. BATCH PROCESSING
1.1. Hadoop.
1.2. Pig.
1.3. Hive.
1.4. Sqoop.
1.5. Flume.
1.6. Spark Core.
1.7. Spark 2.0.
Unit 2. STREAMING PROCESSING
2.1. Fundamentals of Streaming Processing.
2.2. Spark Streaming.
2.3. Kafka.
2.4. Pulsar and Apache Apex.
2.5. Implementation of a real-time system.
Unit 3. NOSQL SYSTEMS
3.1. Hbase.
3.2. Cassandra.
3.3. MongoDB.
3.4. Neo4J.
3.5. Redis.
3.6. Berkeley DB.
3.7 Cosmos DB.
Unit 4. INTERACTIVE QUERY
4.1. SQL
4.2. NoSQL
4.3. Lucene + Solr.
Unit 5. HYBRID COMPUTING SYSTEMS
5.1. Lambda Architecture.
5.2. Kappa Architecture.
5.3. Apache Flink and practical implementations.
5.4. Druid.
5.5. ElasticSearch.
5.6. Logstash.
5.7. Kibana.
Unit 6. CLOUD COMPUTING
6.1. Amazon Web Services.
6.2. Google Cloud Platform.
6.3. Microsoft Azure
Unit 7. BIG SYSTEMS ADMINISTRATION
7.1. Cluster Administration and Installation: Cloudera and Hortonworks.
7.2. Service optimization and monitoring.
7.3. Security: Apache Knox, Ranger and Sentry.
Unit 8. DATA VISUALIZATION
8.1. Visualization tools: Tableau and CartoDB.
8.2. Visualization Libraries: D3, Leaflet, Cytoscape.
Final evaluation
Quality Questionnaire
Prerequisites
No prior technical requirements are required to take this course. However, basic computer skills and knowledge of IT-related environments are recommended.
Other training modalities
If you are interested in taking this course online, please contact us: Email: info@nanforiberica.com , Telephone: +34 91 031 66 78, WhatsApp: +34 685 60 05 91
