SAP BO BI

This course teaches participants SAP BO BI platform that provides flexible systems management for an enterprise BI standard that allows administrators to confidently deploy and standardize their BI implementations on a proven, scalable, and adaptive service-oriented architecture.

COURSE OBJECTIVE

LESSON PLANS


​SESSION 1: UNDERSTANDING BIG (DATA) PROBLEM
Session Goal: 
This Session aims to introduce you to the topology of common existing limitations when it comes to dealing with large amounts of data, and what are the common solutions to those problems. The goal here is to lay down the foundation of a heterogeneous architecture that will be described in the following Sessions.
  • Identifying Big Data symptoms.
  • Understanding the Big Data projects ecosystem.
  • Creating the foundation of a long term Big Data architecture.

​SESSION 2: EARLY BIG DATA WITH NO-SQL
Session Goal
This Session aims to describe how a No-SQL database can be a starting point for your Big Data project, how it can deal with large amounts of data, what are the limits of this model and how it can be scaled to a full-fledged Big Data project.
  • Choosing the right No-SQL database.
  • Introduction to Couchbase.
  • Introduction to Elasticsearch.
  • Using No-SQL cache in a SQL based architecture.

​SESSION 3: BIG DATA PROCESSING JOBS TOPOLOGY 
Session Goal
The more data you get, the more important it is to split the processing into different jobs depending on the topology of the processing.
  • Big Data Job processing strategy.
  • Smart data extraction from No-SQL database.
  • Short term processing jobs.
  • Long term processing jobs.

​SESSION 4: BIG DATA STREAMING PATTERN
Session Goal
This Session helps the readers to understand what are their options when it comes to dealing with streaming high data throughput.
  • Identifying streaming data sources.
  • ​​​Streaming with Big Data projects (Flume) versus Enterprise Service Bus.

  • Processing architecture for stream data.

SESSION 5: QUERYING AND ANALYZING PATTERNS
Session Goal
In this Session, the readers will understand how to leverage the processing work through long term & real time data querying.
  • "Process then Query" strategy versus real-time querying.
  • Process, store and query data in Elasticsearch.
  • Real-Time querying using Spark.

​SESSION 6: HOW ABOUT LEARNING FROM YOUR DATA?
Session Goal
This Session will introduce the concept of machine learning at different level of the preceding described patterns and through different relative methodology.
  • Introduction to machine learning.
  • Supervised and Unsupervised learning.
  • A simple example of Machine learning.
  • Using MLlib for machine learning.

​SESSION 7: GOVERNANCE CONSIDERATIONS
Session Goal
Monitoring, and more generally governance are extremely important when dealing with architecture that involves all the previous patterns. This Session is to safeguard the reader from major issues, and to gain visibility and control over the architecture.
  • Data Quality.
  • Architecture Scalability.
  • Security.
  • Monitoring.

​SESSION 8: IOT AND ARTIFICIAL INTELLIGENCE IN BIG DATA 
Session Goal
Internet Of Things is bringing in lots of data from various devices. Collecting, Cleansing and using that data to extract value to help businesses to decide and tune their business model or even Identify a new Business Opportunity can be made possible through predictive analysis applying proper Data Science and Machine Learning Algorithms.
CASE STUDY AND PROJECTS
Case studies are integral part of training. As part of this course we will ensure you  implement Real-time Case studies ​in various domains which includes:
  • Banking.
  • Telecom
  • Ecommerce.
  • HealthCare.​
These case studies will be evaluated by domain experts and you would get an opportunity to get Feedback on the work.
TRAINING FEATURES
1) Extensive Real Time Live Examples, Projects & POCs for improved practical competency, ensure deployment readiness and implementation.
2) Custom Lab, Software and Environment provided with Real-time Project Simulation.
3) Recorded Videos complemented with corresponding lecture ppts, materials & lab guides. (Provided in the form of MP4 videos, pdf, ppt for offline access as well).
4) Certification and Job-Interview Counselling & Coaching after every training.