Big data has proven to be more than just a buzzword. It is practically changing the face of organizations everywhere. Since data is being produced right, left, and center, companies have decided to make the most of it to transform their potential. When it comes to making the most of this data at hand, AWS shines out as a powerful name. In this blog, we are going to answer questions around what is AWS Big Data, and its services, use cases, and job opportunities.
So, let's begin!
One of the most pestering questions that many people have on their mind is what is Big Data and how exactly is it different from data. Simply put, big data equals gigantic amounts of unstructured, semi-structured, and structured data that is pulled from various sources. Traditional databases and techniques are insufficient to handle it because of its large nature.
It is often described through the three V's:
Volume: Between terabytes and petabytes of data
Variety: Since the data is collected from various sources and comes in different formats
Velocity: As the data gets accumulated rapidly
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Before we move onto AWS services for big data, here is a brief introduction to Amazon Web Services alone.
AWS or Amazon Web Services brings to the table a variety of cloud computing products and services. It comes in a pay-as-you-go model, which allows organizations to pay for only what and how much they use. It includes mobile development, storage, remote computing, Internet of Things, servers, developer tools, security, email, and networking, among many others.
Various Amazon Web Services are extensively used for managing large data bank. Many organizations are dependent on Amazon Web Services for all their complex Data needs without having to fret about security, reliability, and hardware. Here are a few reasons why Amazon Web Services has become a favorite among organizations for handling complex data set-
When it comes to learning about the Amazon Web Services for large data bank, the list can be long. However, we have summed it up for you.
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To truly understand Big Data on Amazon Web Services, you must take a look at some of AWS Big Data use cases. Here are some of the top ways in which organizations are making the most of Data with Amazon Web Services.
Organizations can build a complete analytics application to power their working. They can scale a Hadoop cluster within a few minutes and take from zero to thousands of servers. Similarly, they can turn it off when they are done. This means they can process workloads in a short span of time and at lower costs.
Any organization that wants to enhance their customer's digital experience when visiting their website can make the use of AWS Big Data. A lot of things are made easier by combining these two like collecting, processing, analyzing, and visualizing all insights related to clickstream and that too in real time.
Any application can adopt predictive capabilities when Amazon Machine Learning is used. Boost it further by combining it with the power of Amazon Kinesis that will help in ingesting data from various social media platforms in real time. Machine learning can also be used for generating predictions on the data ingested.
AWS Lambda is a top pick for organizations when it comes to performing data transformations such as filtering, sorting, joining, aggregating, and much more on new datasets. The transformed data sets are then loaded into Amazon Redshift to facilitate interactive analysis and query.
When companies deploy their data warehousing architecture in the Amazon Web Services Cloud, they can reduce costs and optimize query performance. The power of Apache Hadoop framework can be leveraged for performing data transformations through Amazon EMR.
AWS certifications are typically divided into three categories - Foundational, Associate, and Professional. However, there is also a fourth category named Specialty Certifications.
The AWS Certified Big Data - Specialty certification is for anyone who is pursuing a successful career around data lakes, data warehouse solutions, and data analysis.
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Here is the exam criteria you must meet to qualify-
1. 2+ years of experience with AWS
2. 5+ years of experience in the field of data analytics
3. Hold either of the following certifications:
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There is no end to the number of jobs in Big Data. All you have to do is look in the right direction and you will find yourself amid a sea of opportunities. Here are the top job titles -
Big Data in AWS has become a key component for success for many organizations. Thus, getting trained and earning an associated certificate will help you immensely in getting seen by hiring managers. Tap into the wide world of Amazon Web Services and Data Science to uncover a sea of opportunities and future possibilities.
Ans. AWS Certified Data Analytics - Specialty is for those who hold expertise and experience in working with key Amazon Web Services. It is recommended to have around 5 years of experience before appearing for this exam.
Ans. The AWS Big Data certification is not everyone's cup of tea. It requires an individual to have a deep understanding of the complete Amazon Web Services ecosystem, data analytics concepts, and big data technologies.
Ans. The AWS big data certification exam costs $300 USD.
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