Azure Analytics Services

Analyze. Collaborate. Innovate using Azure Analytics Services

Unleash the power of your data, generate transformative insights, optimize processes, and enhance your ROI with enterprise data analytics.

As a Microsoft Gold Partner, Kryptos enables businesses to leverage cloud-based Azure Analytics with actionable insights, data visualization & deploy big data solutions. Azure’s Cloud Infrastructure and the power to process large volumes of data with secure and rapid scalability can make the solution to make effective data-driven decisions. Our certified team of Azure specialists with hands-on experience can support you with data discovery & orchestration, data & analytics strategy, data visualization, data migration & integration, and more. With more than a decade of expertise in Microsoft’s technology, we help integrate, migrate, and architect solutions across devices and systems. We optimize your Azure investment by providing the right recommendations after evaluating your technology environment, as your partner for Azure Analytics Consulting.

Microsoft Azure Analytics

The right tool is very critical for the data modernization journey, be it a mid-size or large enterprise. Data in recent times is becoming a valued and critical asset. Kryptos team of Azure specialists can assess your needs and can customize solutions with Microsoft Azure Analytics Services. With transparent deliverables, we take a seamless and agile approach to storing and analyzing all data sets with high performance and accuracy to deliver digital transformation projects with the best quality solutions.

Kryptos has been developing, designing, customizing, and implementing technology for enterprise-level information sharing for more than a decade. We assure you that only the best and expert data scientists will be at your service for custom solutions based on your business requirements. Our Data Analytics specialty includes compiling, aggregating, and analyzing unstructured data sets with pay-for-what-you-use, scaling up or down applications rapidly with real-time analytics.

With the wide range of Azure data services available, the data flows can be streamlined and customized for specific uses and to deploy real-time meaningful insights such as Business Intelligence, Financial Reporting, Productivity applications, Advanced Analytics (ML & AI for predictive models) & Business Process Automation. With Azure Analytics, make most of the data into actionable business insights.

  • Data and analytics strategy
  • Data discovery, orchestration
  • Data migration and integration
  • Data visualization
  • Analytics, Insights, and Intelligence
  • Data lake and data lake analytics
Infrastructure Managed Services

Azure Analytics Capabilities

Azure Databricks

Uncover key business insights from your data sets and create artificial intelligence (AI) solutions with this fast and collaborative Azure analytics platform. We can set you up on the Apache Spark™ environment in minutes.

It enables you to easily integrate with open source libraries and operate in a shared, interactive work environment that boosts productivity, while modernizing your warehouse in the data cloud for increased scalability.

Azure Stream Analytics

Handle your mission-critical workloads with ease and deliver powerful insights in-real time. Build a robust, serverless streaming data pipeline to analyze millions of IoT devices at sub-second latencies, in just a few clicks.

With built-in machine learning (ML) capabilities for more advanced scenarios, it ensures enterprise-grade reliability.

Azure Synapse Analytics

Combining enterprise data warehousing and Big Data analytics, this solution offers you the flexibility to leverage either serverless on-demand or provisioned resources, and query data, as desired.

It also offers a unified experience to ready, manage and serve data for urgent BI and ML requirements.

Data Lake Analytics

An on-demand pay-per-job analytics service that simplifies big data to power intelligent actions. Posing no need to manage any infrastructure, it enables you to process data as desired, scale-up, and pay per job. You can virtualize your analytics, debug, and optimize your big data programs with ease.

Data Lake Analytics helps you run parallel data transformation and processing programs in Python, SQL, R, and .NET over petabytes of data.

Data Factory

A hybrid data integration service that automates data transformation at scale. It improves productivity and a shorter time to market. It integrates data cost-effectively and quickly and hence reduces overhead costs.

Azure Data Factory leverages pre-build connectors to provide resilient data transfer by using the full capacity of underlying network bandwidth. Data Factory is certified by HIPAA, HITECH, ISO/IEC 27001, ISO/IEC 27018, and CSA STAR

Azure Data Lake Storage

A fully managed scalable and secure file system that stores and analyzes huge data sets and objects, builds, debugs, and optimizes heavy parallel programs with ease, optimize. Designed for the cloud, it offers enterprise-grade security and support.

Azure Data Lake Storage Gen2 encompasses Blob storage capabilities, durability, performance, and is optimized for advanced analytics workloads. Azure Data Lake can exchange data with business applications like Microsoft Dynamics 365 and Power BI.

IT Strategy & Transformation - Kryptos
Managed Services - Kryptos


A fully managed cloud Hadoop and Spark service that helps you easily get started in your favorite development environment. It integrates seamlessly with other Azure services and is adept at spinning big data clusters so that you pay only for what you use.

HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost and allows deployment of projects using Spark, Kafka, and Hadoop.

Case Studies

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