Making Big Data Easy with Azure Data Lake

Big and small data volumes are growing exponentially in today’s data-driven economy. Companies generate tons of raw data from various on-premise systems as well as cloud-born data from website logs, social media apps, and IOT devices. 

Advanced analytical tools allow these companies to discover deeper insights, perform what-if analyses, predict trends and generate machine learning-based recommendations. In support of advanced analytics, companies need a robust data repository to store enormous amounts of raw data, structured, semi-structured or unstructured, in a distributed environment that is shared across the organization.   

Microsoft Azure Data Lake is a highly scalable repository for big data analytic workloads. It enables organizations to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. Azure Data Lake removes the complexities of ingesting and storing all your data while making it faster to get up and running with batch, streaming, and interactive analytics.

Azure Data Lake is a highly scalable big data storage and analytics service hosted in the Microsoft Azure public cloud. 

Azure Data Lake solves many of the productivity and scalability challenges that prevent you from maximizing the value of your data assets with a service that’s ready to meet your current and future business needs: 

  • Store and analyze peta-byte size files
  • Develop massively parallel programs with simplicity
  • Debug and optimize your big data programs with ease
  • Enterprise-grade security, auditing and support 

Info Alchemy offers big data and data lake implementations using Azure Data Lake. We provide end-to-end consulting, professional services, and staff augmentation including discovery workshops and hands-on enablement training to ensure success of your big data projects. 

Contact us to learn more.

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