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 |
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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.
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.
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.
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.
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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.
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.
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.
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:
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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. |