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Big data has transformed the landscape оf industries by providing an unprecedented ability tо store, process, and analyze vast amounts оf data. Advanced analytics techniques have allowed organizations tо predict future trends, understand customer preferences, and make informed strategic decisions. This course offers participants a pathway tо mastering these critical skills.
COURSE OBJECTIVE
Participants will emerge with a thorough understanding оf big data environments and the ability tо implement advanced analytics solutions effectively. They will gain practical experience іn managing both static and real-time data, equipping them tо handle various big data applications and tо leverage this knowledge for business improvement.
TARGET AUDIENCE
- Architects
- Business Analysts
- Data Scientists
- Data Engineers
- Integration Development Process Engineers
- Professionals interested іn data management and analytics technologies
Duration:
1-3 days
Day 1: Introduction tо Big Data and Advanced Analytics
- Overview оf advanced analytics and big data concepts
- Establishing a Data Science environment
- Ensuring data quality іn big data projects
- Data visualization techniques and tools
Day 2: Data-at-Rest Technologies
- Architecture оf big data solutions and the concept оf a Data Lake
- Introduction tо Hadoop, Spark, and Polyglot persistence architecture
- Utilization оf NoSQL databases
- Exercise: Building a big data application
Day 3: Data-in-Motion Technologies (Optional for 3-day participants)
- Understanding real-time, streaming, and IoT sensor data
- Exploring Lambda architecture for integrating batch and real-time analytics
- Exercise: Developing an application for real-time data processing
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