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SchoolTool® Student Management System Software
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ClearTrack™ Special Education Management Software
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MTSS Edge™ Multi-Tiered System of Supports Software
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Advanced Analytics™ Data Visualization and Analytics Software

Product News & Updates

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Joining Forces, Department of Defense, and Department of Education Announce New Actions to Support Military Children with Disabilities: Mindex's Role

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Spotlight: News & Trending
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App Modernization Transform Legacy Apps, Unlock Growth
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Custom Development Achieve Agile Custom Solutions
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Cloud Migration Scale with the Cloud
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Cloud Hosting Cloud Management, Simplified
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Data Analytics & Visualization See Your Data, Drive Smarter Decisions
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Generative AI Data Perfected, AI Ready
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Systems Integrations Unify Systems for Greater Efficiency
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Migration Accelerator Program Accelerate Cloud Adoption with Credits
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Data Architecture Review Optimize Data Workloads with Roadmap
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Generative AI On-Ramp Enhance Your Analytics with Amazon Q
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Well-Architected Framework Review Align with Best Practices, Gain Guidance
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Mindex Integrations Services Save Time, and Leave Repetitive Work Behind

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Latest Customer Story: Empowering AvMet with a Clear AWS Roadmap

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Get to Know Us See what we’re all about! With 30+ years of experience, we’re your trusted software development partner, specializing in full-stack agile development, cloud services, integrations, and K-12 solutions.
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SchoolTool Spotlight
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SchoolTool Spotlight Stay connected with SchoolTool! Discover the latest education trends, product updates, and key release highlights for our student management system.
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Data Ingestion

The First Step in Your Data Journey

Start a Data Architecture Review
Embark on Your Data Journey

Step One - Data Ingestion

Ingestion

Step 1

Data Ingestion

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Step 2

Data Storage

Analytics

Step 3

Analytics

What is data ingestion?

Data ingestion is the first step in the data pipeline, where data from diverse sources such as databases, streaming platforms, and external APIs, is collected and ingested into AWS services for storage, processing, and analysis, laying the foundation for informed decision-making. 
Here's how we can assist you in your data ingestion journey:  
  1. Identifying Data Sources: Whether your data is coming from databases, IoT devices, logs, or files from third parties, we'll help you identify all potential data sources.

  2. Structuring Data: We'll assess whether your data is structured or unstructured and determine its current format.

  3. Managing Data Volume: Understanding the size of your data is essential. We'll analyze whether it's measured in gigabytes, terabytes, or even petabytes.

  4. Evaluating Data Growth: We'll evaluate the rate at which your data is growing to anticipate future needs accurately.

  5. Tracking Data Changes: We'll examine whether your current source systems effectively track data changes to ensure data integrity and reliability.

 

Work with Mindex

Ready to get started?

Engage our cloud data team for a Complimentary Data Architecture Review led by a Certified AWS Data Architect.

In this one-hour session, we'll review your data pipeline's key pillars: Data Ingestion, Storage, and Analytics (AI/ML, Business Intelligence). Our goal is to identify challenges, opportunities, and establish a long-term data strategy, outlining next steps to enhance your data, analytics, and AI journey.

Start a Data Architecture Review

 

Dive Deeper into Data Ingestion

Explore our latest blog posts to assist you on your data journey!
4 min read

Mindex Achieves AWS Data and Analytics Competency Status

ROCHESTER, NY – October 30, 2024 – Mindex, a leading provider of enterprise software development and cloud services,...

4 min read

Inside Look: GenAI is Transforming Our Product and Operations - Let Us Enhance Your Business Too!

It's an exciting time at Mindex as we integrate GenAI into our products and internal processes. Our early adoption and...

3 min read

Why Transition from Traditional BI Tools to Amazon QuickSight?

In today's data-driven environment, businesses must innovate in data analytics to meet the increasing demand for...

Frequently Asked Questions

AWS Purpose Built Analytics

Serverless and Easy To Use

AWS has the most serverless options for your data analytics in the cloud, including options for data warehousing, big data analytics, real-time data, data integration, and more. AWS manages your organization's underlying infrastructure so you can focus solely on your application.

Machine Learning (ML) Integration

AWS analytics services leverage proven machine learning (ML) and natural language capabilities to help you gain deeper and faster insights from your organization's data.

Ingest Data from Any Source

The AWS Cloud enables customers to overcome the challenge of connecting to and extracting data from APIs, streaming data, on-prem databases, or file-based sources in order to aggregate and analyze your data at near infinite scale. 

Gain Insights from your Data

AWS analytics services offer a range of analytics use cases, including interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations. 

By leveraging data-driven real-time analytics instead of intuition or guesswork, you can make more informed decisions.

Scalable Data Lakes

AWS-powered data lakes, supported by the unmatched availability of Amazon S3, can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Build and store your data lakes on AWS to gain deeper insights than traditional data silos and data warehouses allow.