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Big Data Modeling and Management Systems

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.*********Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following alo

4.0
339 reviews

Created by: Ilkay Altintas

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Course Description

Once you've identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples. Systems and tools discussed include: AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL. This course provides techniques to extract value from existing untapped data sources and discovering new data sources.At the end of this course, you will be able to:* Recognize different data elements in your own work and in everyday life problems* Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design* Identify the frequent data operations required for various types of data* Select a data model to suit the characteristics of your data * Apply techniques to handle streaming data* Differentiate between a traditional Database Management System and a Big Data Management System* Appreciate why there are so many data management systems* Design a big data information system for an online game companyThis course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications.Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking "About This Mac." Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.
Read More product length iconTime: 16h

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Instructor Details

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Ilkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the Founder and Director for the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has in the areas of computational data science and e-Sciences at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. She is a co-initiator of and an active contributor to the popular open-source Kepler Scientific Workflow System. Ilkay Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands.

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Reviews

4.0

339 reviews in total

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By David P G on 15-Nov-19

No extra readings are provided to deepen the knowledge. Hands on are not maintained as outdate info is presented in the Hands On labs. Twitter HandsOn is not correctly explained.

By Sayed M on 28-Oct-19

Excellently designed course content and organized topics. I like very much the way Ilkay and Amarnath explains on various subjects.

By Kamlesh K on 27-Oct-19

Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models

By Kumar A on 22-Oct-19

Well rounded course with theoretical discussion and hand-on sessions

By Mujtaba A on 20-Oct-19

It was a good course for beginners of big data modeling. I benefited much from it from the theoretical perspectives.

By Bhanu H on 17-Oct-19

Course material is very good. Instructors are great and talk clearly and explain well. My only difficulty is with peer reviewed assignments. There is no answer key. So how one grades depends on what he/she thinks is the right answer. I understand there is no easy solution to this problem for online courses. It is not a show stopper though since you can submit multiple times. But why not just grade using Assistant or by instructor themselves.

By Francisco J H on 6-Oct-19

It was useful but I was expecting more specific exercies and practices with state of the art tools, instead of only a very high level conceptual resume of the frameworks and data types. I hope that in next specialization courses will go deeper into the specific uses.

By Sergey K on 4-Oct-19

There is no enough practice, for final exam it is impossible to understand what is right and what is wrong even when making peer-review

By Mohammad M on 30-Sep-19

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

By Muhammad S on 27-Sep-19

Thanks for offering this course. The course is not so good because most of the portion is theoretically based. We join the Coursera for hands-on courses. We study a lot of courses in our Homeland universities which are 90% theoretical. so I join Coursera to implement the concepts practically but this course is not so practical.

By Ali S on 21-Sep-19

The course was great I learned basics of different big data visualizations. Sources of big data and different tools introduced which can be very helpful. The quizes and assignments helped me to better understand the course.

By Marco A G O on 10-Sep-19

More focus on theory than practice, but a nice course.

Showing 12 of 339 reviews

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Overall Score : 80 / 100

Big Data Modeling and Management Systems
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  • Video Duration: icon 16h
  • Price: Free
  • Provider: icon Coursera
  • University: icon University of California San Diego
  • Language: icon English
  • Certificate: icon Yes

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