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.

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Transform your business with Advanced Analytics

Traditional analytical tools allow business users to analyze historical data and discover insights which can then turn into competitive advantages.

Today’s advanced analytical tools allow companies to innovate and turn key insights into disruptive business models that transform the way organizations engage customers, design new products, empower employees and optimize operations. 

While business intelligence tools examine historical data to describe what has happened, advanced analytical tools focus on predicting future events and behaviors to forecast what may happen.

Advanced Analytics allow users to discover deeper insights, perform what-if data analyses, generate recommendations and predict future outcomes of potential changes in business strategies.

Info Alchemy offers end-to-end Advanced Analytics consulting, professional services, and staff augmentation. We also provide discovery workshops and hands-on enablement training to help you transform your business.

Big data and advanced analytics create new business models and opportunities that companies can use to transform their business.

What is Predictive Analytics?

Predictive Analytics is a branch of Advanced Analytics that is used to make predictions about future events.  Predictive Analytics uses techniques such as data mining, statistics, machine learning and artificial intelligence:

  • Data Mining is the process of discovering patterns, trends & behaviors in large data sets.
  • Statistics is a branch of mathematics that deals with data collection, analysis, and interpretation of numerical facts or data.
  • Machine Learning is a field of study that gives computers the ability to learn with being explicitly programmed.
  • Artificial Intelligence is the theory and development of computer systems that is able to perform human tasks.

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