BIG DATA ESSENTIAL
Big Data Essential Course for Architects, Admin and Developers. Specialised course on Big Data with coverage of IOT and AI for Big Data.
COURSE OBJECTIVEThis course is designed for freshers and Architects who want to understand Big Data and adopt various technologies to understand different dimensions of data .
The objective is to ensure participants adopts right architecture to handle Velocity, Variety and Volume and suggest right architecture to handle Data in Motion and data at rest scenarios. This course also provides practical scenarios with implementation and role of various Big Data Frameworks in Various domains. |
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LESSON PLANS
SESSION 1: UNDERSTANDING THE BIG DATA PROBLEM
Session Goal: Introduction to the topology of common existing limitations when dealing with a large amount of data along with the common solutions. 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: Understanding how a NoSql Database can be a starting point for your Big Data Project and how it can deal with large amount of data. Limitations 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: Understanding the importance of splitting the Processing into different jobs depending on the topology of the Processing.
SESSION 4: BIG DATA STREAMING PATTERN Session Goal: Understanding the options for dealing with streaming high data throughput.
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SESSION 5: QUERYING AND ANALYSING PATTERNS
Session Goal: Understanding how to leverage the processing work through Long-term & Real-time Data Querying.
SESSION 6: LEARNING FROM YOUR DATA Session Goal: Understanding 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 is extremely important when dealing with Architecture that involve all the previously studied patterns. This Session will help safeguard the participants from major issues, gain visibility and control over the Architectures.
SESSION 8: IOT & ARTIFICIAL INTELLIGENCE IN BIG DATA Session Goal: Internet Of Things is bringing in great deal of data from various devices. Collecting, cleansing and using these data to extract value to help businesses to decide and fine-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 that 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. |