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Storing big data



CLU: 19 Jul, 2021

COURSE SUMMERY

The IT Professional course covers Hardware, Software, Troubleshooting, Servers, Security, Open Source Operating Systems, Networking, Virtualization, Servers, Azure (Cloud) and Best Service Practices for IT Managers (ITIL).

Duration: 6 weeks-10hrs/Week

Rollout format: Online

Prerequisite: BASIC EXPERIENCE WITH AMAZON WEB SERVICES [CLOUD COMPUTING DIGITAL SKILL], ANALYTICAL BACKGROUND.

Overview

Learn how to create large data lakes by seamlessly connecting multiple data sources in the cloud. With these large lakes then see how big data analytics can thrive and how you can make sense of petabytes of data in real-time.

Once you’ve identified a big data issue to analyse, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, and SparkSQL.

N:B
This qualification has been designed to provide the student with a national certificate and multiple certifications, both locally and internationally recognized by industry for maximum employability.

KINGSWOOD IT INT’L

Storing big data

COURSE PRICE: