Today’s digital culture has so many buzzwords and acronyms that it’s easy to get overwhelmed by it all. Even the most casual web surfing experience inevitably exposes you to terms like IoT, Azure, AWS, AI, Hadoop, Big Data, ITIL, NodeJS, and PowerBI.
To mitigate a little of the confusion, we’re going to look at one popular concept, AWS big data. This introduction to AWS Big Data article focuses on AWS basics, so if you’re new to the ideas of big data and cloud computing or are just looking for a bit of a refresher, then read on.
Now before we learn further on AWS Big Data, let us learn what is Big Data.
The term “big data” describes a massive amount of structured, semi-structured, and unstructured data pulled from a diverse variety of sources. The data volume is so large that traditional techniques and databases can’t handle it.
Many data analysts break down big data’s characteristics into the easily remembered “Five V’s.”
Using an often-repeated metaphor, making sense of and using big data in its unprocessed form is comparable to drinking from a firehose at full blast.
Incidentally, the Five V method isn’t the only breakdown. Some analysts prefer to call it “Four V”, and use “Variability” instead of “Veracity.”
If you want to explore the concept of big data further, check out this AWS tutorial. It will answer any further questions you may have about it.
Now before we get further into understanding AWS Big Data, let us first understand what AWS is.
AWS stands for Amazon Web Services, a subsidiary of Amazon, that provides a wide selection of cloud computing services and products on demand. Using a pay-as-you-go model, AWS includes developer tools, email, Internet of Things (IoT), mobile development, networking, remote computing, security, servers, and storage, to name a handful. AWS consists of two main products. There’s EC2 (Amazon Elastic Compute Cloud), Amazon’s virtual machine service, and S3; a scalable data object storage system.
AWS is considered the world’s most comprehensive and widely used cloud platform. You can learn even more about this powerful platform with this tutorial to gain a better understanding of its services.
Next, let us get learning on AWS Big Data by learning AWS solutions for Big Data.
AWS’s sprawling platform brings with it a series of useful solutions available for developers, analysts, and marketers alike. The following are the four fields of big data that AWS provides solutions for:
You need the right tools to provide solutions for the big data fields. Turning the raw volume of big data into something actionable and valuable is a formidable task, but it’s a manageable goal if you have the right resources.
Fortunately, AWS offers an impressive collection of resources and solutions designed to meet the challenges introduced by each big data field. Let’s look at a tool sampling, broken down using the fields above.
There are plenty of other big data processing tools and resources available, but the above list represents the best tools if you use Amazon Web Services.
Businesses and other organizations are increasingly turning to cloud-based solutions for their IT needs. Forecasts show a steady increase in public cloud revenue between 2018 and 2022. Consequently, there’s a great demand for cloud computing professionals. Simplilearn’s AWS Big Data Certification training course familiarizes you with the concepts of cloud computing and its deployment models. The course covers Amazon’s AWS cloud platform and its offerings, including Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and many more.
Through Simplilearn’s unique Blended Learning approach, you will enjoy 40 hours of instruction, real-life industry-based projects, 24/7 support, and dedicated mentoring. After you successfully complete the course, you will earn a certification—a milestone that shows potential employers that you have the appropriate skills and knowledge to do the job. Certification could mean the difference between you getting the position or losing it to a competitor.
According to Payscale, an AWS data engineer can earn an average of USD 97,786 per year, with an upper-range salary of USD 134,000.
So, if you’re on the lookout for a new career that offers great compensation and security, or even if you’re already working with big data and want to upskill, visit Simplilearn today, and supercharge your cloud computing skills!
Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.
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