Data Analytics Course Singapore
Details
Explore the dynamic realm of data analytics with our comprehensive course in Singapore. Gain invaluable skills in data interpretation, statistical analysis, and decision-making. Our program covers essential tools and techniques, equipping you for success in the data-driven landscape. Elevate your career prospects with hands-on learning and expert guidance. Join us and unlock the potential of data analytics in Singapore.
The Big Data Analytics courses will help delegates learn the methods and tools to collect large amounts of data when making business decisions. By using these techniques, the delegate will be able to improve the process of decision-making, cost reduction and the improvement of products.
Hadoop is the cloud computing platform data scientists use to perform highly paralleled operations on big data. You will learn in this course that:
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How to analyze data using Pig, Hive and YARN
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How to configure the Hadoop distributed file system (HDFS) perform processing
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Ingestion using Map Reduce Apache Hive is a tool of choice for many data scientists because it allows them to work with SQL, a familiar syntax, to derive insights from Hadoop, reflecting the information that businesses seek to plan effectively.
Schedules
| Mon | 09:30 AM — 05:30 PM |
| No. of Days: | 4 |
| Total Hours: | 28 |
Inspizone provide corporate training for all Microsoft Office courses including excel, PowerPoint, Access, MS Project, Project Management, PMP, ITIL, Six Sigma, Customised IT Courses like .
Free Refresh Course: We provide best training centre with 100% Satisfactory Guarantee. Our objective is to upgrade your knowledge and teach you until you upgraded your knowledge thats why we allow you to come for refresh class unlimited times within 6 Month.
Inspizone have been dealing with Fortune 500 companies, Government agencies, SMEs and Big Enterprises in Singapore and Australia. We are growing fast to build our branches and franchises in all over the world, to best capitalize on IT investment and increase productivity.
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