In this 9-video course, you will explore the data concepts of transactions, transaction management policies, and rollbacks. Conclude with an exercise designed to create a data model. Then move on to data engineering and best practices, with a look at approaches to building and using data reporting tools. In another tutorial, learn how to create a data partition. Explore the hierarchy of needs when working with AI and machine learning. Next, examine data modeling and creating a data model in Talend Open Studio. Learn to use Talend Open Studio to showcase the ETL concept. Explore ETL-what it is, the process, and the different tools available. Learn about NoSQL stores and their use, and tools available for data management. Then look at differences between batch and in-memory processing. Begin with an overview of distributed systems from a data perspective. This 12-video course helps learners explore distributed systems, batch versus in-memory processing, NoSQL uses, and the various tools available for data management/big data and the ETL (extract, transform, and load) process. The concluding exercise looks at implementing effective data management solutions.ĭata engineering is the area of data science that focuses on practical applications of data collection and analysis.
Finally, learners study data analytics and reporting, how organizations can derive value from data they have. Learners will examine various types of data architecture, including TOGAF (The Open Group Architecture Framework) enterprise architecture. Explore definitions of big data and governance. To implement an SQL solution, Microsoft SQL Server is deployed in the Amazon Web Services (AWS) cloud, and a NoSQL solution by deploying DynamoDB in the AWS cloud. Compare and contrast SQL and NoSQL database solutions and look at using Visual Paradigm to create a relational database ERD (entity-relationship diagram). Then, study the data lifecycle's six phases. Learn to recognize personally identifiable information (PII), protected health information (PHI), and common data privacy regulations. First, look at the relationship between data, information, and analysis.
In this 12-video course, learners explore how to define data, its lifecycle, the importance of privacy, and SQL and NoSQL database solutions and key data management concepts as they relate to big data.
0 kommentar(er)
