Getting started with Data Lake courses on AWS

Posted by Priyanka attari on November 18th, 2019

A data lake is a warehouse that enables you to store all your organized and unstructured data at any size and scale. The data can be stored even when it has no structure on the first hand. A data lake is used to perform various sorts of analytics—through visualization obtained from the dashboard to make big data processing, real-time analytics, and machine learning to make better choices.


Why Do organizations use Data lake?

Business values of successful organizations are Undoubtedly generated from their data. AWS provides an easily integrated suite of services that contains everything that is required to build and manage a data lake for analytics quickly. AWS-powered data lakes provide deeper insights and help the system to handle the scale, agility, and flexibility required to combine different types of data and analytics, that traditional data silos and data warehouses cannot provide. This helped the organizations to identify and build upon the opportunities for business growth faster by attracting and retaining customers, improving productivity, proactively maintaining devices, and making prime decisions. AWS gives customers a great visualization of analytics and machine learning services, for quick access to all relevant data, without compromising on security or governance. 

How does Data Lake work?

Data are the main set of elements in a Data Lake. Data Lake works by using a flat architecture to store the data of different structures as compared to a hierarchical data warehouse that stores the data in file and folders.  Each of the assigned data elements is tagged with a unique identifier and is attached with a set of extendable ‘metadata tags’. These metadata tags allow for the easy manipulation of the data. 

When the businesses are in need of specific data from data lake for visualization insights, The assigned tag helps us in querying the relevant data that is created from the subset of extended metadata tags. In order to speed the processing of the data, data storing and tagging of data, allocating a specific and unique identifier to it, helps us in easy sorting of data. So when there is a business question,  A set of data is been analyzed to assist with the relevant answer.

Why professionals take up AWS?


DevOps Automation :

Data analysts do not require to spend much time in DevOps tasks like creating AMIs, defining Security Groups, and creating EC2 instances. DevOps Automation simplifies the exploratory analysis in tools like Jupyter or RStudio and for the parallel execution of data science experiments.

Monitoring, Reporting and cost controls :

While high-end hardware is expensive, AWS Professionals have access to more scalable computing, monitoring of resources and generating reports, for multiple teams in an easy way and comparatively in variable less cost.

Environment stability :

New open-source tools and packages are emerging at a super-fast rate these days. AWS certified System administrators can ensure the management in factors like stability and safety of environments.

GPUs :

By Maintaining of Neural networks and utilizing the effective data science techniques benefit from GPU acceleration, AWS Data lake also makes it easier on configuring and utilizing GPUs than ever before. 

Security :

Data sets represent your most valuable property of an organization. AWS India Professionals get hands-on world-class security for their applications running on AWS. Even when there is a change of configuration, The risk of migrating the data is very less in this platform

 Scope of AWS certified professionals

The demand for AWS Data lake certified professionals is increasing every year. The AWS market is expected to reach 6B by 2020 at a CAGR of 22 percent with more than 380,000 cloud computing jobs available around the world as per indeed. This AWS Training and AWS data lake Certification training will enable you to design, plan and scale AWS implementations utilizing over 70 cloud computing services. This course is aligned with the latest AWS exam featuring best practices in the industry. 

Now Coming to Certification cost, AWS certification cost in India is 6888 INR

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Priyanka attari

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Priyanka attari
Joined: November 18th, 2019
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