Advanced Topics and Future Trends in Database Technologies

Go to Course: https://www.coursera.org/learn/advanced-topics-future-trends-database-technologies

Introduction

### Course Review: Advanced Topics and Future Trends in Database Technologies If you are keen on expanding your knowledge and skills in the ever-evolving field of database technologies, look no further than the **Advanced Topics and Future Trends in Database Technologies** course available on Coursera. This course is geared towards professionals and students alike who wish to deepen their understanding of database management systems (DBMS) and explore cutting-edge trends that are shaping the future of data storage and analysis. #### Course Overview **Advanced Topics and Future Trends in Database Technologies** offers a comprehensive curriculum that spans four meticulously crafted modules. Each module delves into advanced areas of database technologies and provides insights into future trends that will guide the industry for years to come. Additionally, the course can be taken for academic credit as part of the University of Colorado Boulder’s Master of Science in Data Science (MS-DS) degree, adding significant value for those pursuing an academic path. #### Syllabus Breakdown 1. **DBMS Administration Essentials** - This module lays the foundation for a deeper understanding of DBMS software internals. It explores the vital roles of the Database Administrator, Data Scientist, Data Architect, and other key players in database technologies. Core topics include concurrency management, backup and recovery strategies, and transaction logging. This foundational knowledge equips learners with the skills necessary to manage and optimize database systems effectively. 2. **Data Warehousing and Data Cube** - Transitioning from operational to analytical databases, this module focuses on data warehousing concepts and Online Analytical Processing (OLAP). Students will learn how to design and utilize data warehouses tailored for complex analysis rather than simple transaction management. This perspective is integral for effective data-driven decision-making in today’s businesses. 3. **Big Data and the Data Explosion** - In an age marked by an overwhelming increase in data generation, this module confronts the challenges posed by Big Data. Participants will explore the "10 V's" that define Big Data and learn about its architecture. This module prepares learners to handle the complexities of modern data ecosystems, making them versatile in addressing contemporary data challenges. 4. **The Relational Problem and NoSQL Systems** - Despite the longstanding reliability of relational databases, the demand for NoSQL solutions has surged in response to the Big Data challenge. This module examines popular NoSQL technologies, illustrating their benefits and applications. Learners will gain insight into how these alternatives are reshaping data management and analysis landscapes. #### Why You Should Take This Course - **Relevance and Timeliness**: In the rapidly evolving landscape of data technologies, staying current is essential. This course not only covers crucial foundational topics but also aligns perfectly with industry trends and innovations. - **Expert Instruction**: Delivered by the faculty from CU Boulder, students can expect high-quality instruction from experts who are well-versed in the latest database technologies and trends. - **Academic Credit**: For those enrolled in the MS-DS program, this course offers the dual benefit of enhancing practical skills while contributing academically, which can be pivotal for career advancement. - **Flexible Learning**: As with other Coursera offerings, the course is designed for flexibility. Students can engage with the material at their own pace, making it easier to balance education with professional commitments. #### Final Recommendation Whether you are looking to refine your database management skills, dive into analytic methods, or explore cutting-edge data management solutions, **Advanced Topics and Future Trends in Database Technologies** is a highly recommended course that will equip you with the knowledge and skills to thrive in an increasingly data-centric world. Enroll today to take a significant step forward in your data science journey!

Syllabus

DBMS Administration Essentials

In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the Data Architect, and other career paths in the realm of database technologies. This module covers DBMS essentials such as concurrency management, backup & recovery, and transaction logging.

We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.

We are in the era of data explosion. While relational databases are still widely used, we are having new problems to deal with data that is different than the one we have been organizing. This new type of data, with 10 V's in the definition, is called Big Data. We are going to explore the definitions, the challenges, and the architecture of the Big Data in this module.

Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.