4 min read
The Power of Data Lakes: Unlocking Business Insights You Never Knew Existed
Are you leveraging the full potential of your data? As analytics and big data become more commonplace, businesses need...
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.
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.
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.
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.
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.
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.
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 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!
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.
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.
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.
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.
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.
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.
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