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Advanced Analytics™ A flexible data visualization platform that serves K–12 districts and higher education institutions nationwide, transforming student data into clear, actionable insights.
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MTSS Edge™ A customizable MTSS platform for K-12 schools nationwide, managing academic, behavioral, and social-emotional supports in one place.
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ClearTrack™ New York State’s leading special education management software, offering flexible, all-in-one tools to simplify IEPs, Medicaid, reporting, and compliance for K-12 districts statewide.
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SchoolTool® Built for New York State K–12 schools, this all-in-one student management system offers intuitive, data-driven, and time-saving tools to manage student information.

See Our K-12 Products in Action

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Advanced Analytics™ for Business A scalable data visualization platform powered by Amazon QuickSight, helping organizations connect data, build sleek dashboards, and unlock AI-driven insights.

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See Advanced Analytics™ Live

Mindex Advanced Analytics Featured on the AWS Intelligence Blog

School administrator reviewing the Mindex Advanced Analytics Course Scheduling Dashboard.

Revolutionizing School Resource Collaboration: How NERIC and Mindex innovated cross-district course capacity sharing with Amazon QuickSight

Read Our Latest Blog Post

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Spotlight: News & Trending
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App Modernization Transform Legacy Apps, Unlock Growth
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Cloud-Native 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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Advanced Analytics for Business Your Data. Our Platform. Faster Insights.
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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: Building a Scalable Data Architecture for Spraye’s Growth

Read the Spraye case study

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About Us
Join Our Team
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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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Job Openings We’re Hiring, Come Join Us!
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Co-Ops Gain Experience, Build Your Future!
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Benefits Your Well-Being, Our Priority!

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Bright Minds Blog
SchoolTool Spotlight
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Bright Minds Blog Get the latest company updates, insightful case studies, and industry insights delivered straight to your inbox. Be in the know—subscribe today!

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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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Simplify Big Data Processing

What Is Data Processing? 

The first step in building a data pipeline, is Data Ingestion, which collects data that potentially has useful information. In order to load all your data into a data warehouse to perform further analysis, you need a processing workflow to accomplish this.

When using a traditional database model, where data is stored then processed or analyzed at a later time, insights can be derived from data that is out of date. Data processing in the cloud can provide actionable insights that respond to changing conditions and customer behavior quicker than ever before. 
Big data processing involves batch, real-time, and streaming data processing to assist organizations ingesting, storing, and analyzing large sets of data to uncover insights and make informed decisions. Let's learn more about these different processing workflows:

Batch Processing

Certain data processing tasks, such as backups, filtering, and sorting, can be compute intensive and inefficient to run on individual data transactions. Instead, batch processing allows tasks to be completed in--you guessed it-- batches! (For example, instead of processing every order as it occurs, an ecommerce system might collect all orders at the end of each day and share them in one batch with the order fulfillment team.)

 

Real-Time Processing

Information derived from real-time processing gives companies visibility into many aspects of their business and customer activity, such as service usage (for metering or billing), server activity, website clicks, and geolocation of devices, people, and physical goods. This enables them to respond promptly to emerging situations.

Streaming Data Processing

Streaming Data is data that is generated continuously by thousands of data sources, which typically send in the data records simultaneously, and in small sizes (order of kilobytes). Streaming data includes a wide variety of data such as log files generated by mobile or web applications, e-commerce purchases, in-game player activity, information from social networks, financial trading floors, or geospatial services, and telemetry from connected devices or instrumentation in data centers.

 
DID YOU KNOW?

Most companies only analyze 12% of their data.

Source: Leftronic: 39+ Big Data Statistics for 2023, March 07, 2023

By engaging Mindex, we can make sure you're not one of them. Are you ready to unlock valuable business insights? Let's get started!

Schedule Discovery Session

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We're here to help

Mindex's AWS Processing Expertise: A Closer Look at Our Services

We're experts in solving all sorts of processing challenges for your organization. Need some examples? Here are just a few things we can do for you!

Processing Data at Scale 

We're adept at processing, storing, and analyzing your organization's data at scale. Our team can handle large volumes of data from multiple sources, including log files, social media, and IoT devices. We can deploy and manage your organization's data clusters quickly and cost-effectively to support your business. Amazon EMR is an ideal solution for enterprises dealing with large amounts of data, but a no-risk discovery session with our team can help ensure the right fit solution for you.  

Manage Serverless Data Processing 

Our cloud team is skilled in serverless data processing services for businesses. We can extract, transform, and load data from multiple sources into a data warehouse or data lake. Our team has vast experience using AWS Services like AWS Glue to process data in real-time or batch mode. Additionally, we can schedule data processing jobs to run automatically for your organization. 

Automate Data Processing

We can develop automated data processing functions that require no manual intervention. The benefit of this is that it saves time and lowers the risk of human error. Our team has expertise in utilizing AWS Lambda, a highly scalable tool that can easily manage sudden surges in data processing needs. 

Let's work together

Simplify your Data Processing Needs with Mindex

At Mindex, we're the go-to experts for cloud-based solutions that can help you process big data like a pro. As an AWS Advanced Tier Partner, we're experts in helping businesses, no matter their size, analyze and manage large amounts of data quickly and efficiently. Our team of cloud experts are eager to assist you with your data processing needs. So, whether you're a small business or a large enterprise, we're here to help you save time and resources while improving your data quality and accuracy.

No need to stress over complex data processing tasks, just leave it to us and we'll simplify everything for you!

Chat with a Cloud Expert  Start a Data Architecture Review

 

 

The Mindex Blog

Catch up on our recent cloud mindshare!
3 min read

Validating and Providing a Roadmap for AvMet’s AWS Environment

Nov 19, 2024 by Mindex

In today’s fast-paced digital landscape, having a strong and scalable cloud architecture is crucial for long-term...
3 min read

Mindex Recognized as #23 in 2024 Rochester Chamber of Commerce Top 100

Nov 8, 2024 by Mindex

During their evening awards ceremony this week, the Rochester Chamber of Commerce announced the rankings for the 2024...
4 min read

Mindex Achieves AWS Data and Analytics Competency Status

Oct 30, 2024 by Mindex

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

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.