Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive.
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. Apply your insights to real-world problems and questions.ĭo you need to understand big data and how it will impact your business? This Specialization is for you. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+.ĭrive better business decisions with an overview of how big data is organized, analyzed, and interpreted.
All required software can be downloaded and installed free of charge (except for data charges from your internet provider). This course relies on several open-source software tools, including Apache Hadoop. 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. (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit (B) 8 GB RAM (C) 20 GB disk free. Refer to the specialization technical requirements for complete hardware and software specifications. 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. Completion of Intro to Big Data is recommended. This course is for those new to data science. *Execute simple big data integration and processing on Hadoop and Spark platforms *Identify when a big data problem needs data integration *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
*Retrieve data from example database and big data management systems At the end of the course, you will be able to:
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