Kode Campus presents to you a comprehensive up-to-date Big Data training program. This course will empower you with the job-relevant skills and power you ahead in your career.
Curated by Big Data instructors with over 10+ years of experience, this course covers all the dimensions of Data Engineering using SQL, NoSQL, Hadoop ecosystem, and employs the most widely used technologies like HDFS, Sqoop, Hive, and Spark.
Packed with practical exercises based on real-life examples, the course would teach how to manage, store, interpret, process and analyze Big Data. This course is suitable for those with computer backgrounds, analytic mindset, and some coding knowledge.
In computing, data is information (of quantities, characters, or symbols), which can be stored and translated into a form that's efficient for transmitting or processing. The data is mostly in binary format, with a bunch of ones and zeros.
Big Data term is used to describe the large volume of data. The data is a combination of structured, unstructured, and semi-structured data types, and is so complex that traditional data management tools often have difficulty processing and analyzing them.
Big data is super important as it acts as a foundation for machine learning projects, predictive modeling, or other advanced analytical applications, allowing to dig insights that lead to better decision making and strategic business moves.
There are several advantages to using public cloud computing.
Here's how Big Data can be stored in cloud environments:
Public cloud providers offering big data capabilities through managed services
Apache open source technologies like YARN, MapReduce programming framework, and HBase database are suitable to deploy for on-premise big data systems. Explore and get hands-on in all these technologies with this course.
Explained below are various ways how Big Data is proving beneficial for all sorts of businesses
To have a great career and earn a handsome salary! You want that, right?
The investment in the big data domain and the demand for data professions continue to soar as big data acts as a foundation for machine learning (and AI) projects, predictive modeling, and other advanced analytical applications.
IDC (International Data Corporation), in its publication “Semiannual Big Data and Analytics Spending Guide” indicated that Big Data-related hardware, software, and services are expected to maintain a compound annual growth rate (CAGR) of 11.9% through 2020, with total revenue of more than $210 billion.
Listed below are a few reasons why you should learn Big Data:
No matter what your background is, you can take this AI course provided you're passionate about numbers, and love challenging problems.
But your journey to becoming a data professional scientist would be much easier if:
- Most comprehensive and well-structured course covering all the basic concepts, to allow you to develop a solid machine learning foundation.
- Certified Trainers with extensive real-time experience in the Machine Learning domain and an immense passion for teaching.
- Top-notch course with a perfect blend of theory, case studies, and capstone projects with an assignment for every taught concept.
- 100% Job Placement assistance. Frequent mock interviews to evaluate and improve your knowledge and expertise. Facilitation of interviews with various top companies. Help in building a great resume, optimizing LinkedIn profile, and improving your marketability.
Listed below are some of the leading Data-based career options you can break into after completing the Big Data course:
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Hadoop is an open-source software framework and procedure (free for anyone to use or modify, with a few exceptions) for storing and developing data processing applications that get executed in a distributed computing environment. What makes it so popular is its massive storage, enormous processing power, and the capability to handle virtually limitless concurrent tasks or jobs. Explore and learn Hadoop fundamentals and its applications with real projects in this comprehensive course.
Apache Spark is an open-source, distributed processing system designed to meet big data workloads. Fast, flexible, and developer-friendly, it provides native bindings for the Java, Scala, Python, and R programming languages, and is the leading platform for large-scale SQL, batch processing, stream processing, graph processing, and machine learning.
No! Just a basic laptop should be sufficient for most of your personal projects as we'll leverage the cloud for most of the works. But you should be able to install applications and utilize a virtual machine to complete the hands-on assignments.
Here are a few datasets sources you can rely on:
Our team has compiled a list of the best big data resources including study materials, cheat sheets, data sets, videos, which you get access to upon enrolling in the course.
Kode Campus has its dedicated Placement Assistance Team(PAT). The team helps you in all the aspects of securing your dream job, from improving your marketability to conducting mock interviews.
NO! Our assistance program will only maximize your chances of landing a successful job as the final selection decision is always dependent on the recruiter.
This Big Data course is the most comprehensive, relevant, and contemporary, meeting all the present demands of the Data Industry. Don't expect it to be some repurposed or repackaged content of redundant archaic course materials.
What's more is that we continually upgrade the content of this course with the changes in technology, trends, and demands to provide you the best learning resource.
"This Big Data course is not only well-organized, but it's easy to follow too. It covers all the important Big Data technologies. I liked the trainer who was clear and concise in explaining all the relevant technologies. I especially liked how easily complex topics of Pyspark and Scala interfaces were explained. Strongly recommended."
"For a beginner like me, this course met all the expectations. The course provided "hands-on" in almost all the data-based technologies. After starting the course, I realized how I was using a different version of SandBox when compared to the training program. But with the Kode Campus's incredible support, I was quickly able to find out the solution. Had a great journey and experience here."