Description:
Organizations rely on various kinds of data, including big data, to fully understand their customers and business operations. Modeling data systems can help businesses better organize and access data. To do so, they need that data to be easy to access and understand. Data modeling plays a critical role in both. In this course, you´ll learn about data modeling, the benefits it can bring to an organization, and the various levels at which data modeling can be applied. You’ll explore the different types of data models and learn about the data modeling process.
Target Audience:
Duration: 00:24
Description:
Security risks are high online and businesses need flexibility to adapt to change if they are going to navigate online interactions safely. Staying current on digital innovation and security guidelines ensures your company's resilience against threats to secure data management.
This course will explore some responsibilities when interacting in an online world so you can become a good corporate digital citizen and reduce your data security risk.
Target Audience:
Duration: 00:23
Description:
Successful data management in the age of big data is a challenge. Applying data quality best practices while making adjustments and optimizations can help your organization meet its business goals.
In this course, you'll learn about using data science in data quality management. You'll learn how to determine the quality of data, challenges and solutions for gathering quality data, and how to assess the value of data.
Target Audience:
Duration: 00:24
Description: Using big data can lead to significant gains for your organization. Managing big data effectively can lead to lower operating costs, better decision making, and innovative new product development. Dealing with big data means utilizing big data technologies to identify, gather, and analyze data sets and develop big data strategies that reap benefits for your organization. In this course, you'll learn about the data analysis process. You'll be introduced to the most common basic and advanced analytics methods, including data mining. You'll also learn about some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.
Target Audience: individuals who want to learn fundamental concepts and achieve a basic working knowledge of big data
Duration: 00:26
Description: You've probably heard of big data, but what exactly is it, and how can it be used to give your organization a competitive advantage? In this course you'll learn about the key characteristics of big data, the benefits it can provide, and the types of data it incorporates. You'll also be introduced to the different ways it can be applied, depending on your market sector. This course also covers some fundamental security challenges of big data and some best practices for managing big data through an effective information lifecycle.
Target Audience: individuals who want to learn fundamental concepts and achieve a basic working knowledge of big data
Duration: 00:22