Uncover Key Business Insights with Azure Analytics Services

Crunch Big Data on cloud with Azure HDInsight

Azure HDInsight is a cloud-based distribution of Apache Hadoop. It handles vast amounts of unstructured or semi-structured data from IT assets. It provides on-demand scalability, and includes programming extensions for handling Hadoop jobs using popular languages. HDInsight allows deployment of projects using Spark, Graph, R and Solr. It includes Apache HBase for NoSQL data transactions, Apache Storm for stream analytics, and Apache Spark for large-scale data analytics.

HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost. It allows selection of Windows or Linux clusters for deploying Big Data assignments to cloud. We are leveraging it to create Hadoop clusters on cloud, and are using Excel or other BI tools for providing rich data visualization and analysis.


Implement powerful Cloud-based Analytics with Azure Machine Learning

Azure Machine Learning is a part of the Cortana Analytics suite. It enables transformation of big data into intelligence. Machine Learning is completely cloud-based, and features, limitless scalability, availability, and unmatched security. It allows exposure of hidden insights, fixing persistent and resilient issues, and making reliable predictions.

Enterprises are leveraging Machine Learning for building, deploying, and sharing flexible machine learning solutions. It is being used as an ideal Big Data solution capable of crunching the ever increasing data volume. We are tailoring ML models to suit specific business needs by roping in Python, R or any of Microsoft's proven algorithms, and are deploying models as fully managed web services.


Leverage Azure Stream Analytics for processing, real-time data streams on the Cloud

Azure Stream Analytics allows ingestion of real-time events from millions of data streams every second. It helps in performing real-time analytics with high reliability on the data from IoT assets. Building real-time dashboards, setting-up alerts, and implementing machine learning on multiple data streams for gaining invaluable insights is possible with Stream Analytics.

Stream Analytics facilitates enterprises in ingesting and processing multiple events, comparing data streams, detecting anomalies, obtaining dashboard-views, and triggering condition-specific alerts, all in real time. We are leveraging it to provide enterprises with real-time insights from their devices and application data.


Symphonize data collection and transformation with Azure Data Factory

Azure Data Factory is an on-cloud data integration service. It automatically establishes coordination among the services that collect raw data from various on-premises and cloud-based data sources. It enables creating, scheduling and managing data pipelines, along with monitoring the health of pipeline networks. It provides rich visualization features, pipeline lineages and interdependencies.

Data Factory enables enterprises to connect to and ingest data from diverse data sources. Data pipelines are created which transform raw data for consumption by BI tools and applications. Using it, we enable enterprises to monitor and manage their network of data pipelines automatically for problem detection, rectification and acquiring intelligence.

Smart Water Metering Analytical Solution for Utilities

A fast-growing Manufacturing & Water Utility company deploys Analytical Solution for Smart Meters. This solution provides real-time & predictive analytics from the water consumption data derived from 500,000 IoT based smart meters.

Customer Success Story

5 ways - How IoT & Analytics help drive Business Growth

Enterprises are accelerating their business growth by gaining quality insights through connected IoT based data-driven solutions. Read how they are modernizing their businesses by leveraging Azure IoT and Analytics services.

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