Big Data Infrastructure Management

DESCRIPTION

A big data environment should allow storing, analyzing, and processing data. Making the most of data not only involves selecting the right set of tools and processes but also ensuring the right big data infrastructure and technologies are deployed. Infrastructure is a valuable component of the Big Data Ecosystem. It entails the tools used to gather data, the physical storage media used to store data, the software systems utilized, the applications handling it, the analytic tools that process it, and the network that transfers it.

OUTLINE MATERI

1. Key Components of Big Data Infrastructure

2. Big Data Infrastructure: Final Thoughts

3. Big Data Infrastructure Management

• Building Infrastructure Using IAAC
• Role-based Administration
• Automated Service/Operations
• Monitoring
• Version Control of Automation Scripts
• Azure and Big Data
• Aligned Culture, and Mindset of the Client-Mindtree Relationship
• Automated Creation of Big Data Infrastructure
• Automated Plugin Deployment
• Automated Day-to-Day Operations
• Data Imports from RDBMS
• Utility to Upload/Download Files to/from Azure Blob Storage

TRAINING METHOD

Presentation

Discussion

Case Study

Evaluation

FACILITY

Training Kit

Handout

Certificate

Lunch + 2x Coffee Break

Souvenir

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Topik Training	: Big Data Infrastructure Management
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