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Data Analytics and Management with Azure

Data Analytics and Management with Azure

As organizations increasingly create and depend on intangible assets like data to derive value, it is imperative that they have data management strategies in place to handle this data securely, efficiently and cost effectively as well as gain insights from the data. Adoption of Cloud technologies can replace traditional data platforms to make them feature-rich, scalable and cost-effective.

Microsoft Azure has a comprehensive set of analytics solutions that helps to store and analyse with high levels of accuracy to deliver key business insights. Powered by an MPP engine built over a relational engine in SQL server, Azure analytics solutions have the capability to collect relational and non-relational data from workloads and users.

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CloudLeaf’s expertise in latest technologies from Azure will make your business better prepared with better insights. We use modular, reliable, secure, and scalable solutions to create a high-performing data ecosystem. Gain complete visibility of your data lifecycle from collection to consumption. Simplify your data operations using open architecture and easy integrations. Improve governance and reduce risks across your data lifecycle.

Identify trends and patterns in massive datasets

Detect current and potential problems

Understand customer behaviour and buying patterns

Address customers’ problems even before they are expressed

Build desirable products and services

Optimize and simplify operations

Improve employee productivity with automation

Microsoft Azure has a comprehensive set of analytics solutions that helps to store and analyse with high levels of accuracy to deliver key business insights. Powered by an MPP engine built over a relational engine in SQL server, Azure analytics solutions have the capability to collect relational and non-relational data from workloads and users.

CloudLeaf’s expertise in latest technologies from Azure will make your business better prepared with better insights. We use modular, reliable, secure, and scalable solutions to create a high-performing data ecosystem. Gain complete visibility of your data lifecycle from collection to consumption. Simplify your data operations using open architecture and easy integrations. Improve governance and reduce risks across your data lifecycle.

Build a Data Management System with Digital Cloud and Azure

A robust data foundation and platform management benefits organizations in the form of insightful business information. CloudLeaf uses Azure analytics tools to develop a complete data lifecycle right from ingestion to consumption. Infused with AI and ML, we use open architecture to unify and integrate your data estate, simplifying your data operations. With a unified view of your entire data, we assure you of improved data governance, reduced risk and enhanced accessibility.

Azure Cloud-based Data Analytics Solutions

Data Mesh, Data Lakes and Data Fabrics

Azure Data Lake Storage
A highly scalable and secure data lake solution for big data analytics. It provides a single repository to capture, store, and analyze structured, semi-structured, and unstructured data
Azure Synapse Analytics
An analytics service that brings together big data and data warehousing into a single, integrated service that provides insights from all data
Azure Databricks
A fast, easy, and collaborative Apache Spark- based analytics platform that allows processing of large amounts of data in a scalable and secure manner
Azure Arc
A hybrid and multi-cloud management solution that allows management and governance of data across various data sources and locations. It provides a unified control plane to manage data services across on-premises, multi-cloud, and edge environments

Capitalize on the True Value of Your Data with CloudLeaf and Azure

As the volume of data increases, it becomes increasingly challenging and expensive to remain agile while ingesting this data. The process of sorting, filtering, processing and analysing data to derive practical information from it can be tedious without the right tools in place.

CloudLeaf’s data analytics and AI services enable our clients to manage data lakes and data fabrics in Azure, allowing them to store, process, and analyze large amounts of data in a secure and scalable manner. We help you to build a data management system that utilizes Azure’s complete set of AI- and ML-based tools. From assessment and planning based on your unique requirements, we develop the complete data analytics and management system right up to deployment and beyond. We also offer monitoring and management to keep the system running at optimal levels, at cost, and with zero involvement from your IT teams.

1

Assessment And Planning

  • Set benchmarks for analytics
  • Analyse current IT maturity
  • Determine strategic goals
  • Plan analytics architecture
  • Develop KPIs


2

Building And Deployment

  • Migrate data to the Cloud
  • Implement Cloud-native enterprise data lakes and/or data warehouses
  • Deploy Azure Cloud assets
  • Deploy analytics on Cloud solution
  • Deploy predictive and prescriptive analytics assets

3

Monitoring And Management

  • Monitor for availability and scalability
  • Optimize usage and cost of Cloud assets
  • Continuously measure and monitor as per set KPIs
  • Make continuous data-driven enhancements

Ready to Transform Your Business?

Get in touch today with our experts.