Building a Data Lake on AWS

The Whizlabs Building data lake on AWS training course contains around 5 hours of training videos. You will find a total of 40 lectures that cover all topics related to the development of data lakes on AWS. Learners get 2 years unlimited access to the course.

The ideal target audience to learn about building data lake on AWS includes the following,

• Solution architects
• Data architects and analysts
• Big data developers
• Data analysis practitioners

The Whizlabs’ building data lake on AWS training course can help you develop skills for building a data lake on AWS by utilizing AWS services. Learners could also get the opportunity to discover other benefits of data lakes, such as cost-effective data storage.

The expert support and training by subject matter experts with the training course can help you establish a reliable foundation for a career in data science.

Data lakes support the following capabilities,

• Collection and storage of any type of data, at scale with cost-effectiveness
• Security and protection of all data in the central repository
• Faster and easier execution of new types of data analysis on different datasets
• Querying the data through the definition of data structure during use
• Searching for and identifying the relevant data in the central repository

There is no required prerequisite to learn about building a data lake on AWS. But having the knowledge of following is good to learn about building data lake on AWS are as follows,

• Hands-on experience in database technologies
• SQL experience is recommended
• Hands-on experience in AWS data services

The effective reason to learn about building a data lake on AWS arises from the promising developments in the field of data science. Almost 46% of organizations face skill gaps in big data analytics. 

Therefore, you have a clearly evident benefit in taking the first step in learning data analytics on one of the top public cloud computing platforms, i.e., AWS. However, here are the other important benefits of learning about building a data lake on AWS. 

• Learners could develop a strong foundation for learning in-demand big data technologies
• Opportunities for data science jobs with lucrative salaries 
• Chance to work in enterprise environments with other data scientists 
• Access to long term opportunities for the development of Big Data management skills and experience

A data lake is a new and innovative approach for data storage and analysis. It addresses the challenges of managing multiple data types from a diverse variety of sources. Data lakes offer better agility and flexibility in comparison to traditional data management systems. Data lakes are useful for an enterprise to store all their structured and unstructured data in a single centralized repository. The most important aspect of a data lake is that there is no need for conversion of data into a predefined schema for storage.

The notable benefits of hosting a data lake on AWS are as follows,

• Easier data collection and ingestion
• Improved security and compliance
• Cost-effective data storage
• Comprehensive platform for big data