This course is designed to explain and demystify Big Data in non-technical terms. It bridges the gap between market buzz about Big Data and business realities. It documents real-world usage and ROI of Big Data, delineates successes and failures of Big Data, and the reasons for both. It characterizes what a data scientist is, and what s/he does all day. It discusses the pros and cons of various organizational structures for Big Data and Analytics teams. In short, the course peels away the complexities surrounding Big Data, boiling it down to the essence that managers need to know to make optimal decisions about the use, resourcing, risks, and value of Big Data.
Identify the key products in the big data platforms and describe their functional role.
Describe the concepts of big data.
Identify the business implications of big data for an organization.
Describe the role of Hadoop and its use in the Big Data platform.
Describe the role of Hadoop and its use in the Big Data platform. Describe the concepts of big data.
Identify the business implications of big data for an organization.
Identify the key products in the big data platforms and describe their functional role.
Develop a deeper understanding of what big data means to your organization.
Walk away with more knowledge about the role of the platform and its components, including NoSQL Database,
Hadoop Distributed File System, Data Mining, and Big Data Connectors.
Business Analysts.
CIO/CTO.
Configuration Consultant.
Data Center Manager.
Database Administrators.
IT Director.
Systems Architects.
What is Big Data?
Business Challenges.
Getting Fast Answers to New Questions.
Industry Examples.
Building Your Big Data Strategy.
A General Look at Big Data Systems.
Big Data Solution.
NoSQL Database Hadoop.
Distributed File System.
In-Database Analytics Platform.
What is a Key-Value Store?
Why Would I Need a NoSQL Database?
Using NoSQL Database to Run a Website.
What is Hadoop?
Interacting with HDFS.
MapReduce.
Using Hive to Transform Data.
Big Data Connectors.
Data Integrator Working on Hadoop Data.
Transforming Data in ODI.
Using Advanced Analytics to my Data:
Mining Database Data with R Enterprise.
Mining Hadoop Data with R Connector for Hadoop Creating.
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This popular course will support you to develop practices and techniques to manage this pressure proactively, allowing you to meet deadlines and deliver against your objectives. You will also develop skills in working well with others to ensure success.
The 5-Day Mini MBA is a unique distillation of the skills that need to be acquired in order to be considered successful in modern business. Not everyone is able to devote a year or two of their time to studying for a Masters in Business Administration, but in an age of rapid change in a highly competitive environment, it is crucial to have a thorough understanding of the issues involved in the smooth and successful running of a business. The 5 Day Mini MBA Leadership & Management Masterclass is a highly intensive training course covering all the usual subjects associated with an MBA. In 5 days, a delegate will learn what normally takes a year of full-time study. The Mini MBA course is designed to provide delegates with comprehensive knowledge of fundamental, proven strategies taught as both an academic and practical exercise. As a result, the course will provide a comprehensive understanding of the skills and knowledge that will be required for any person to further develop their business knowledge and skills and even to prepare them for actual formal study for an MBA. The course is designed to be delivered either as an “In House” class for an organization’s directors and senior management or as a public class where delegates from a number of companies can learn both from the course and from one another and exchange ideas and best practice.
Large capital-intensive projects in the oil and gas industries require substantial - and mostly risky - investments in the acquisition, exploration, and subsequent operation and maintenance of new organizational assets.
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