We help you take advantage of Azure’s secure cloud infrastructure and its ability to process massive volumes of data with rapid scalability.
With our proven experience in cloud-based analytics, we can develop software solutions to help you make efficient data-driven decisions.
Our team leverages Azure Analytics to support you with data & analytics strategy, data discovery & orchestration, data migration & integration, data visualization and more. With hands-on experience in Microsoft’s technology ecosystem for over two decades, we help architect, integrate & migrate solutions across systems & devices.
We help you to optimize your investment in Azure by assessing your technology environment & providing recommendations as your Azure Analytics Consulting partner.
We leverage varied Azure Analytics services to implement cloud-based analytics, process real-time data streams, deploy big data solutions and provide data visuals and dashboards.
It is a limitless analytics service that brings together data integration, enterprise data warehousing & big data analytics. We help you leverage Azure Synapse’s flexibility to manage serverless on-demand or provisioned resources and query data (both relational and nonrelational). We’ve multi-domain delivery expertise to perform analytics on operational data without copying or moving data. Our team utilizes Synapse analytics for data engineering by using simplified ETL, data wrangling, out-of-box connectors, on-demand clusters & more. We can support you to apply AI directly to data pipelines in Azure Synapse and automate insights. We’ve multi-domain delivery expertise in utilizing Azure SQL Database, Python, Scala, Spark SQL, .NET and more.
Comprise of a set of capabilities dedicated to big data analytics built of Azure Blob Storage. It helps create a massively scalable and secure data lake for high-performance analytics workloads in Python, MS SQL, R, and . NET. We utilize ADL – the single storage platform to eliminate data silos and manage structured & unstructured data. Our Azure developers utilize the data authentication enabled by Azure Active Directory (Azure AD) and role-based access control (RBAC). We leverage the data protection & encryption features to offer advanced threat protection, industry-standard reliability, tiered storage and disaster recovery capabilities.
A hybrid data integration service that automates data transformation at scale. It is a fully managed, serverless data integration service that helps to visually integrate data sources in an intuitive environment. Our data engineers use ADF to ingest all on-premises, and software as a service (SaaS) data. We leverage the 90+ built-in data connectors to build apps and user workflows. Our developers utilize ADF to prepare data, construct ETL and ELT processes, and orchestrate & monitor pipelines code-free.
A popular cloud service to accelerate & manage the machine learning project lifecycle. Azure ML empowers data scientists and developers to build, deploy, and manage high-quality models faster. It offers them confidence by providing services for data labeling, data preparation, reinforcement learning, responsible machine learning, experimentation, hybrid and multi-cloud support, autoscaling compute, etc. Our ML specialists can build, train and deploy machine learning models to solve key business challenges & mitigate issues by thoroughly understanding your unique business needs. Regardless of the size and scale of your business, we can help you set up AutoML for accurate forecasting, personalized marketing, analyzing loan risk, detecting anomalies & recommending relevant services. Further, our data scientists support you to collect data from an array of sources with Azure SQL, Hive Query, on-premise data sources and more.
A data analytics platform that’s optimized for the Microsoft Azure cloud services platform. It offers three environments for developing data-intensive applications: Databricks SQL, Databricks Data Science & Engineering and Databricks Machine Learning. Our team utilizes Azure Databricks for collaborative data science and large-scale data processing for batch and streaming workloads. We help build and deploy custom machine learning models at scale. Our specialists can enable you to get insights from live-streaming data at ease from IoT devices, or logs from website clickstreams. We partner with you to help you launch and provision Spark clusters, integrating various data sets & tools and building powerful applications that can run analytics faster. Rishabh’s developers have experience with Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn supported by Databricks.
It is a fully managed, real-time analytics service designed to analyze and process fast-moving data streams that can be used to get insights, build reports, or trigger alerts and actions. This serverless engine enables businesses to perform real-time analytics on several data streams such as social media apps, web data sources, IoT sensors and more. With Azure Stream Analytics Services, we help businesses like yours to assess large amounts of data streams and process them from an array of sources for further analysis, logging, dashboarding and reporting. Our developers support you with creating analytics pipelines creation for any type of data and workload. We ensure real-time data availability with serverless computing.
It is a secure Microsoft-hosted cloud service that lets users view dashboards and reports. Power BI unifies data from disparate sources to create interactive dashboards and reports that offer actionable insights to drive business results. Since Power BI and Azure Synapse are natively integrated, you can easily analyze petabyte-scale data in seconds. We’re a preferred Power BI consulting company to enable you with connecting, combining and analyzing data. Further, with built-in machine learning capabilities, you can automatically generate BI reports & dashboards to have the right insights & make informed decisions.
The team maintains a high level of professionalism and is able to adapt our needs. I was challenged as a Product Owner of the cloud-based FinTech software and asked questions until requirements were fully understood. Looking forward to develop the next release with the same dedication and performance. They developed the solution using leading technologies like Microsoft and SQL Server database.
Throughout the project of developing the cloud solution, from the initial gathering of requirements to defining solutions, development and testing, I recognized that the resources allocated to the project were attentive to the deliverables, committed to ensuring appropriate tech-needs were assessed and have endlessly worked to achieve a quality product. The Rishabh team excels in providing great customer service, work with integrity and honesty.
As Rishabh’s Channel Partner, we have a trusted extension of our development team to offer cloud & mobile solutions confidently. Our partnership helps us extend our portfolio to include additional services & solutions that add real value to our existing clients. We are moving new projects forward with Rishabh and looking at many years of continued partnership.
With our Microsoft Azure data analytics consulting services, we help you streamline your cloud journey with Azure with required services.