Modern Data Architecture: How It All Works

Instead of just creating a data lake, an organization can utilize modern data architecture to incorporate a data warehouse/data lake. This permits you to transfer data across different platforms and apps easily. Modern data architecture enables organizations to manage and collect data efficiently. It eliminates the need for them to take a one-size-fits-all approach to analytics. Amazon Web Services (AWS) provides customers with a modern data architecture that allows building and managing data lakes, securing and managing their systems, and scaling them at a low cost. With a wide assortment of data services and a modern security and governance framework, they can easily share data across their organizations.

Scalable Data Lakes

Integrate various analytics & data approaches by handling the required scale, agility, and flexibility.

Purpose-Built Analytics Services

Optimize performance, price, and scale by rapidly extracting meaningful data insights.

Seamless Data Movement

Focus solely on your app, while AWS services will help to move your data seamlessly.

Unified Governance

Efficiently manage your governance policies to fulfill industry and geography-specific constraints easily.

Performant and Cost-Effective

Get the most out of your solution while also preventing unnecessary budget devastations.

Scalable data lakes

Run your data lakes on AWS and join the cohort of those who always reach success.

  • Amazon Simple Storage Service (S3)
    Regardless of the size of your organization, Amazon S3 allows you to keep and protect data while ensuring market-leading scalability and efficient performance.
  • AWS Lake Formation
    Decide what access and security policies you need to involve and set up a centralized, curated, and secured repository in a fast and easy manner.
  • Amazon Athena
    With this out-of-the-box query service, you can crawl data sources, build metadata repositories, and populate your Catalog with unique definitions.
  • AWS Glue
    AWS Glue enables you to shorten the time-to-market period by analyzing your crucial data insights in minutes instead of months.

Purpose-Built Analytics Services

With such a wide array of purpose-built analytics services offered by AWS, you will definitely find what suits you best.

  • Amazon Athena
    With a simple query service, you can easily build metadata repositories and browse data sources. You can also customize the definitions of your catalog.
  • Amazon EMR
    Processing vast amounts of data has never been easier. Perform it quickly and cost-efficiently with this superb cloud big data platform.
  • Amazon Kinesis
    Get real-time streaming data analytics and transform them into meaningful insights to grow your business. No delays, only timely analytics processing.
  • Amazon OpenSearch Service
    Designed for deploying, operating, and scaling clusters, this analytics engine provides multiple analysis options, including log analytics, real-time app monitoring, and clickstream examination.
  • Amazon Redshift
    Being one of the most popular cloud data warehouses, Amazon Redshift utilizes SQL to explore structured and semi-structured data while ensuring the best price performance at any scale.

Unified Data Access

As the amount of data in your data lakes and purpose-built data stores constantly extends, moving a piece of that data from one store to another is pivotal.

  • AWS Glue
    AWS Glue enables you to shorten the time-to-market period by analyzing your crucial data insights in minutes instead of months.
  • Amazon Kinesis Data Firehose
    Whether you need to capture, transform, or deliver streaming data to data lakes, data stores, or analytics services, this all-in-one service will flawlessly fulfill your goals.

Unified Governance

One of the most critical factors that sets a modern data architecture apart from a traditional one is its ability to allow customers to manage and access their data.

  • AWS Lake Formation
    Designed to store all your data in its original and ready-for-analysis form, this service makes it easy to set up and manage a secure data lake in just a couple of days.

Performant and Cost-Effective

Amazon Web Services (AWS) is committed to providing the lowest cost possible for all analytics services.

  • Amazon Simple Storage Service (S3)
    Amazon S3 is an object storage service that enables customers to store and protect their data in a secure and scalable manner. It's ideal for both small and medium-sized businesses as well as large organizations.
  • Amazon EC2
    Amazon EC2 eliminates the need for hardware investment in order to develop and deploy applications.
  • Amazon EMR
    With Amazon Elastic MapReduce, you can quickly process large amounts of data as it allows you to quickly build and deploy applications.

clients’ Success stories

CLOUD-BASED MONITORING SOLUTIONS FOR SOCIAL STARTUP

As a powerful player in the African market, our client handles multiple socially-oriented missions under one roof. The company is committed to promoting digital innovation and entrepreneurship in Africa.

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AZURE PIPELINES TUNING FOR DEVELOPMENT FLOW OPTIMIZATION

We worked closely with the client to understand their requirements and developed a customized solution that met their specific needs. Through careful planning and execution, we were able to successfully migrate their pipelines to Azure Pipelines. 

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BOOSTING ML MODEL TRAINING FLOW FOR A HEALTHCARE COMPANY

The client’s data science team lacked access to GPUs, so they undertook manual ML model training, which led to slower processing time. The Matoffo team used Python and the Ray Tune library to improve processing speed and enable cluster computing in AWS with autoscaling.

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CLOUD INFRASTRUCTURE ANALYTICS SOLUTION FOR A SAAS COMPANY

Partnering with multiple market-leading healthcare and financial organizations, software vendors, and startups, our client delivers a service that allows companies to define whether their cloud infrastructure complies with modern security standards, such as HIPAA, GDPR, etc.

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MIGRATION TO MONGODB ATLAS PLATFORM TO MEET SCALABILITY TARGET

The Matoffo team decided to use MongoDB Atlas as a hosting platform for MongoDB. This service provides better performance, scalability, and availability. We created a multi-region cluster with proper cluster size and backup policy.

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DATADOG MONITORING FOR A LARGE FINANCIAL TECHNOLOGY PLATFORM

This widely recognized digital wallet and automated accounts payable platform provides users with a flexible means of buying goods and managing funds, all while prioritizing exceptional efficiency and reducing the need for manual processes and paperwork.

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BLUE/GREEN DEPLOYMENT FOR A LARGE FINANCIAL TECHNOLOGY PLATFORM

Serving multiple educational organizations across the US, this market-leading digital wallet and accounts payable platform is aimed at replacing paperwork and manual processes with simple and elegant automated technology. 

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OPEN EDX LEARNING PLATFORM IMPLEMENTATION

As a powerful safeguard of human rights across the EU, our client combines multiple socially-oriented missions under one roof. This non-governmental organization perceives human rights as the key to building the communities of the future day we want to live in. 

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MIGRATION FROM GCP TO AWS / KUBERNETES IMPLEMENTATION

As one of the fastest-growing startups, our client helps customers in Africa by saving up to 30% of their expenses on fresh produce and packaged consumer goods. Yet, such a social-oriented mission undeniably needs a robust technical foundation.

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CLOUDFRONT SETUP FOR AN EDUCATION-ORIENTED PLATFORM

Providing users with a nimble way to purchase goods and services, this worldwide-known digital wallet and automated accounts payable platform is aimed at maintaining the best methods of oversight and control while eliminating paperwork and manual processes. 

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OUR FOCUS IS
CLOUD SOLUTIONS

Our primary goal is value delivery for the client by resolving technical challenges and assisting them to achieve their objectives. AWS cloud solutions are great toolset which we use to make it happens, primary by outstanding agility, where companies could scale up cloud resources as needed and significantly decrease time from idea to market as well as seamless adopt rapidly growing tech capabilities to transform their businesses to be competitive in the market.

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