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.
Because supervisory levels are the link between the executive and senior management levels, achieving the organization's objectives, increasing productivity and overall performance of the organization, affects the effectiveness and efficiency of supervisors' performance.
And because of the skills of supervisors in any organization in need of continuous development, and to acquire advanced tools and methods that reflect on the deepening of these skills and activate their role in motivating individuals working, and push them to commit to the goals of the organization.
You need this conference to learn about supervisory skills and advanced methods, to be able to play an effective and supervisory role in your organization.
Managing an office has become an increasingly sophisticated and complex job. The increased demand for speed and accuracy, knowledge of new technology, and an increasingly diverse workforce bring challenges and also opportunities for growth. This dynamic and in-depth course explores some of the more advanced skills which can help an office manager to work more confidently, creatively, and effectively.
As a supervisor, the success of your organization rests in your hands. This course provides you with the opportunity to develop highly effective and essential supervisory skills that will strengthen teamwork and organizational success. Also, this course will help you manage everyday operations with greater ease. Furthermore, it will help you leverage both your managerial and people skills to meet your new challenges as the 21st-century supervisor.
This course is designed for participants to introduce to key issues and themes in international development.
Participants will explore and engage in academic debates and discussions around a set of key factors that shape, influence, and constrain the development and prosperity of nations.
The course will explore a number of key themes in international development, including how questions of gender and generation shape the impact of poverty; how processes of globalization, migration, and violent conflict impact development; and how development and the environment are linked.
It also considers what exactly we mean by poverty, and how different ways of understanding poverty feed into different approaches to tackling it.
It will also consider development institutions: what are the key institutions in the architecture of international development? How do they differ, and what are the challenges and opportunities they present? Through this module, participants will gain a solid background in the various factors which shape current approaches to and debates on international development.
By introducing participants to a range of problems in economic development, we will look to analyze how economic theory and models can explain the lack of development in some nations. We will apply such theory to real-world economies to understand the nature of the problems they face and how effective policies can be in tackling the problems.
A five-day course on the practical aspects of piping and pipeline design, integrity, maintenance, and repair. The participants will obtain an in-depth understanding of the ASME B31 code rules and API standards, their technical basis, and practical application to field conditions.
Corporate/Public governance and risk management are critical There is increasing attention being paid to corporate governance and risk management in business schools and among legislators.