Data Analytics on AWS Cloud

Solutions

Building A Business-Centric Data Analytics Platform With AWS

AWS provides the broadest selection of analytics services that fit all your data analytics needs and enables organizations of all sizes and industries to reinvent their business with data.

From data movement, data storage, data lakes, big data analytics, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price performance, scalability, and lowest cost.

Built to handle large amounts of data at scale and automate many manual and time-consuming tasks. AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Use AWS analytics services to gain deeper insights than with traditional data silos and data warehouses.

The platform also equipped with comprehensive set of tools that go beyond standard security functionality, like encryption and access control, to offer unified security policy management and proactive monitoring. So our customers can rest assured, their valuable data won’t fall into the wrong hands.

Source: https://aws.amazon.com/big-data/datalakes-and-analytics/

AWS Glue

AWS Glue is a fully managed data integration service provided by Amazon Web Services (AWS) that offers several key features to simplify and accelerate data preparation and transformation tasks. One of its prominent features is the AWS Glue Data Catalog, which acts as a centralized metadata repository for various data sources. The Data Catalog automatically discovers, classifies, and organizes metadata, making it easier for users to manage and track their data assets. This simplifies data discovery and ensures a unified view of the organization's data, leading to more efficient data analysis and decision-making processes.

AWS Glue is designed to handle various data formats, including structured and semi-structured data, making it suitable for diverse datasets. Its support for custom transformations using Python or Scala allows users to tailor data processing according to specific requirements,

also, AWS Glue has provided a feature to generate ETL code automatically, eliminating the need for manual coding and reducing development time significantly, and it has a seamless integration to another AWS services such as Amazon Redshift and Amazon S3.

AWS Glue runs serverless and automatically scales up resources based on data processing demand. This makes AWS Glue ensure it runs cost-effective resource utilization, enabling efficient handling of large-scale data processing tasks without manual intervention.

MII Metrodata As A Partner

As a partner, we are also a deep understanding of approach to ensure Data Analytics adoption bring business value to our customer, where to look at & what are the data focus.

Those are some our value added proposition as partner, where we can come in before creating the platform itself.

Below is some example of our Data Analytics proposed solutions using AWS Platform.

Case Studies:

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