Take your Big Data expertise to the next level with AcadGild’s expertly designed course on how to build Hadoop solutions for the real-world Big Data problems faced in the Banking, eCommerce, and Entertainment sector!
This course will not only help you learn the nuances of all the major Big Data technologies within the Hadoop ecosystem, but will also help you dig deep into solving real-world problems faced by companies around the world.
This course gives you:
Use various components of the Hadoop ecosystem like MapReduce, Pig, and Hive to arrive at solutions for real-world problems from the eCommerce, Banking, and Education industry
Users will get access to 3 recorded demo sessions for the project, a solution kit which will include solution designs to the problems examined, and reference documents
Get better with your hands-on skills in the Hadoop ecosystem by implementing real-world use cases using Hadoop components like, Pig, Hive, and MapReduce
Enhance and test your practical skills on Big Data and Hadoop to significantly enhance your job readiness and get deployed in the Big Data industry, ASAP!
A leading e-commerce company, MyCart, is planning to analyze its existing products and customer behavior. It has been continuously receiving huge amounts of data about its different products, registered users and their behavior in terms of placing orders and subsequent actions performed on those orders. Different products belong to different categories and have a certain amount of discount and profit percentage associated with them. Users are spread across different locations, and depending on their behavior, MyCart wants to capture their purchasing patterns and detect possible fraudulent activities. It receives files on a daily basis and processes them using Big Data tools in order to:
First, data will be collected and stored in the HDFS. Next, for the process of Data Enrichment, we will load this data into a NoSQL database like, HBase. After enriching this data, we need to validate it, post which, you can use any of the Hadoop technologies like, MapReduce, Hive, or Pig for data analysis. Results will be finally exported to both, the RDBMS and NoSQL database. This job will be automated by using schedulers that will allow us to extract the outcomes on a daily basis.
This project is helpful in defining the purchasing patterns of people over the company's website. The project also helps in identifying fraud users and in finding out the net worth of the cancelled products across the city among other things. With the outcomes of this analysis, the company can derive solutions for improving their products in warehouses and how to eradicate frauds, and much more.
The project work will be carried out in a virtual environment, wherein, the Hadoop cluster, HBase, and other required tools will be installed on a single machine using the Oracle virtual box/VMware
RAM: Min 4 GB
Processor: Dual core processor or above
Apache Hadoop, Apache Hive, Apache HBase, Apache Sqoop, MySQL.
All the above mentioned tools are open source and requires no prior permission to download and install.
This course has helped me bridge the gap between theory and practice. The hands-on exposure that I got during the program equipped me with the hard skills on how to seamlessly extract data. I also learnt a great deal about the latest industry trends, as to why a particular technique is used for a situation, the challenges faced, case studies, model development, validation, etc.
A great course for someone who is looking to learn by actually doing. This course provides the right level of expertise for those who are already beginners in the Hadoop technologies. The projects were very educative and the hands-on approach provided me with the appropriate skill set. The working code examples and videos for execution cleared all my doubts and gave me a great insight into the workings of Hadoop.
The Banking Sector is one of the many areas that gets flooded with data every minute. A single bank usually has multiple branches with its multiple customer details. Details are important as they can help in making informed decisions. Many banks make use of the traditional RDBMS for data storage, but this traditional system is not able to handle the huge amount of data pouring in. Using Hadoop, we will be storing and analyzing banking data to come up with multiple insights.
The course has been superbly designed that gives just the right amount of information that you need to work for its projects. Though, you will need to know some basics of Hadoop and Shell Scripts in order to understand what is going on here. This course is an excellent way to learn and understand the industrial implementation of the projects that one gets exposed to over here.
This course is friendly for both, the beginners and experienced programmers. All the project demo videos can be downloaded. The course content is deep and insightful, and at the same time, is not overly difficult to follow. This course covers all the essential Hadoop concepts. The explanation/scripts available inside the videos are just perfect and quite straightforward to understand. The practice assignments and the samples given are really helpful too.
Data Ingestion: Process of bringing raw data into the Hadoop storage unit.
Data Encryption: Encryption of highly sensitive data. Data migration from RDBMS to Hadoop will also be password protected.
As real banks do not share details of their customers, we have created a dummy data set that has proper columns and other essential details. This will provide us with a way to analyze banking data using Hadoop and come up with multiple insights.
The project work will be completed in the virtual environment, wherein, the Hadoop cluster, HBase and, other required tools will be installed on a single machine using the Oracle Virtual Box/VMware.
RAM: Min 4 GB
Processor: Dual core processor or above
Apache Hadoop, Apache Hive, Apache HBase, Apache Sqoop, and MySQL
All the above mentioned tools are open source and require no prior permission to download and install them
A leading music-catering company, MyRadio, is planning to analyze large amounts of data that it receives from its mobile app and the website. MyRadio wants to track the behavior of its users, classify them, calculate the royalties associated with songs and make appropriate business strategies. As the data is very huge, we will be using an open-source framework of Apache Hadoop, a NoSQL database called Hbase, and a few other tools for analysis.
In order to achieve the objectives, we can sub-divide the projects into the following phases:
This is an amazing course for the Big Data aspirants. The explanations provided by the mentors is useful for building a project from scratch, and the solution documents are a big help too. This course is great for people who like to build stuff and not just complete the standard exercises. This course covers plenty of practical topics which students can then build upon. Thanks for this course, AcadGild!
Very easy to understand and extremely comprehensive. Everything has been clearly explained and can be understood even by a beginner. A must do course for anyone who wants to land a gig in the Big Data industry!
Improve your hands-on knowledge of Hadoop and get deployed in Big Data projects quickly!
Don't miss your only chance at availing a limited period discount offer on "Mastering Hadoop with Real-World Projects."