Data Storage and Advanced Analytics on AWS: Top Solutions to Consider

Using big data can be a great way to analyze your business, understand your customers and improve your output. However, that also means you will need lots of data storage and ways to manage that data. It’s exactly where AWS comes into play. However, even in this case, you need to find the right custom implementation and solutions that can assist with this process.

Amazon Kinesis

Amazon Kinesis is interesting because it helps you study data streams in real time. It can help you quite a bit if you want to access data from dynamic content. Many times, data will come in static formats. However, if you want to study and improve upon dynamic data, this is the best way to do it and it helps quite a lot.

Amazon QuickSight

Amazon QuickSight does a very good job when it comes to business analytics. You can perform data analysis on the fly and build visualizations as well. Plus, you can access data from AWS, Excel, Redshift, RDS, S3 and many others. It uses the SPICE engine to help produce interactive queries. That sets it apart from other data analytics solutions.

Amazon Redshift

Redshift is a fully managed warehouse service for data. It can be great for business intelligence and it works with large data queries. Redshift also has a Spectrum feature that allows you to query S3 data without doing any ETL processes. It optimizes the process, while also speeding up the analysis. That makes it highly effective especially when you work with large amounts of data.

Amazon Machine Learning (Amazon ML)

ML is a great service that helps create machine learning models. Those can help you better analyze data, while also streamlining your processes. On top of that, once you complete the machine learning model, you can train it to fit your company’s needs. It’s an effective, customizable solution with great features.

Amazon Glue

Glue does an excellent job in regards to data processing. It can extract data, transform and load ETL. Plus, it can be particularly good when it comes to cataloging, cleaning and transferring data between locations. You are only charged for the resources you are consuming with your tasks, so it’s cost-effective too.

Amazon EMR

EMR is a great framework designed with distributed computing in mind. It can help store and process data with very good results. On top of that, it’s based on the clustered EC2 instances and Hadoop from Apache.

All of these can be great solutions for analytics and data storage on AWS. It’s very important to find the right option that fit your specific business needs. Implementing those can be a huge advantage, and it can provide an exceptional return in the long run. That’s why it comes as highly recommended, because it conveys a great sense of customization, not to mention you can find a solution that fits your requirements. Thankfully, all of these are customizable, thus making it easier to optimize them according to your company’s specifics!

Read Also: Leveraging Technology for Business Growth: The Role of Data Warehousing

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