Mindex Cloud Services
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Big Data & Analytics

Unlock Hidden Insights Using Big Data Analytics

Why You Might Need Big Data?

Organizations benefit from big data technologies when traditional databases and applications can no longer scale to support sudden increases in volume, velocity, variety, and veracity of data.

A failure to adequately address the challenges posed by big data can result in escalating costs and reduced productivity and competitiveness.

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Volume

As people and businesses become more connected, data sources multiply (and grow continuously), increasing vast amounts of data. In order to gain value (meaning) from the data, computing power must increase with the volume of data.

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Velocity

Increasingly, businesses have stringent requirements from the time data is generated, to the time actionable insights are delivered to the users. Therefore, data needs to be collected, stored, processed, and analyzed within relatively short windows – ranging from daily to real-time.

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Variety

A greater variety of data sources means a greater variety of data formats (e.g., web logs, social media interactions, eCommerce and online transactions, financial transactions, etc.) Different data formats make it more difficult to derive value (meaning) from the data since it must all be extracted and processed differently.

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Veracity

One of the biggest challenges posed by big data is its veracity. Veracity refers to the accuracy and trustworthiness of the data that is being collected and analyzed. Big data can be extremely complex, making it difficult to verify its accuracy. This can lead to incorrect conclusions being drawn from the analysis, resulting in poor decision-making.

MaximizE BIG DATA Benefits in AWS

Build, Secure, and Deploy Big Data Applications

With AWS cloud computing, there’s no hardware to procure, and no infrastructure to maintain and scale, so you can focus your resources on uncovering new insights.

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Immediate Availability

Most big data technologies require large clusters of servers resulting in long provisioning and setup cycles. With AWS, we can deploy your big data infrastructure almost instantly, allowing your teams to be more productive, try new things, and roll out projects sooner.

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Broad & Deep Capabilities

Big data workloads are as varied as the data assets they intend to analyze. A broad and deep platform means you can build virtually any big data application and support any workload regardless of volume, velocity, and variety of data. AWS provides everything you need to collect, store, process, analyze, and visualize big data on the cloud.

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Trusted & Secure

Big data is sensitive data. Therefore, securing your data assets and protecting your infrastructure without losing agility is critical. AWS provides capabilities across facilities, network, software, and business processes to meet the strictest requirements. 

We'd love to help your business maximize the benefits of big data on AWS

We have a team of experts ready to help you sort through your data challenges, whether it's organizing and analyzing your ever-increasing data or looking for a new data analysis solution. Let us know where you are in your cloud journey by taking our cloud readiness assessment!

GET YOUR CLOUD READINESS ASSESSMENT

Reinvent Your Business with data

Advanced Analytics on AWS

Focus your resources on uncovering new insights

Mindex provides a wide range 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, log analytics, streaming analytics, predictive analytics, business intelligence, and machine learning (ML) to anything in between, AWS offers purpose-built services that provide the best price performance, scalability, and lowest cost.

 

Reinvent Your Business with data

Advanced Analytics on AWS with Mindex

Focus your resources on uncovering new insights

AWS provides a wide range 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, log analytics, streaming analytics, predictive analytics, business intelligence, and machine learning (ML) to anything in between, Mindex has experience as an AWS Partner to help you take advantage of AWS purpose-built services providing the best price performance, scalability, and lowest cost.

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AWS Purpose Built Analytics

Dive deeper into each area of an organization's data journey.

Where are you now, what do you struggle with today, and where do you want to get to?

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Ingest Data from Any Source

Our Mindex cloud team can help your organization overcome the challenge of connecting to and extracting data from APIs, streaming data, on-prem databases, or file-based sources to aggregate and analyze data at a near infinite scale.

Master Data Ingestion for Big Data

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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. Our cloud experts can manage your organization's underlying infrastructure so you can focus solely on your application.

Simplify Big Data Processing

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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.  We're data lake building experts, and by helping you store your data on AWS, you will have access to deeper insights than you would be able to obtain with traditional data silos and data warehouses. 

Explore Data Lake Solutions

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Gain Insights from your Data

Our Mindex cloud team is experienced in using various AWS analytics services. These services are purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations that enable you to make more informed decisions based on data-driven real-time analytics rather than intuition or guesses.

Gain Better Data Insights

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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.

Our cloud team is ready to offer support along every stage of your ML journey. 

Accelerate Your ML adoption

My experience with Mindex team members has gone very smoothly, from transitioning to existing projects to starting new ones. They have proven to be very knowledgeable in the AWS world and are always motivated to complete important tasks on time. They have been professional and very eager to get involved in providing the most accurate solution.
Senior IT Analyst, Software Development, Diagnostic Solutions Company
The Mindex team has been extremely helpful and professional. They have a nice breadth of skills on their team, which is valuable to our growing organization.
Director of Data, Compliance, and Process, Industrial Process Instruments Manufacturer company
Mindex has been great to work with. They are professional and helpful. They have provided great service to us.
Software Validation Engineer, Diagnostic Solutions Company
 

Customer Success Story

Learn how we replatformed a diagnostic solutions company's application stack to an AWS serverless stack to reduce TCO and speed up machine testing. 

READ OUR CASE STUDY

Big Data Case Study- Using AWS for your big data & analytics needs
WHY Mindex

Let our cloud experts handle your big data applications

Mindex, an AWS Advanced Services Partner, can help your organization build, secure, and deploy big data applications to the cloud.

Let's connect and discuss your big data needs and develop a strategy that's right for your organization. 

 

Chat with a Cloud Expert

 

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