We know that migrating to cloud, if you’re not there already is a daunting project. Especially if you’re not familiar with the proper steps and preparations. We are specialized in Azure Database migrations apart from AWS database and Business Intelligence Solutions. We’re a Microsoft partner and work closely with Microsoft resources when needed, to get your project to azure cloud.
Our Azure consulting has engineers with over a decade of Cloud experience. As an experienced Azure Database Consulting company, Whether you wanted to migrate into Azure with significant control by constructing your own VM and installing and configuring your Enterprise or other Editions of SQL Server, or just go cloud using Azure SQL or Azure SQL DataWarehouse with minimal management, we make it all happen seamlessly with little or no impact to your current production environment.
We can also partially migrate select components of your Database or Business Intelligence, and proceed in steps, rather than migrating at once and having trouble getting familiar or facing difficulties in managing them all at once.
For our cloud skeptical customers, our Azure Database Consulting solutions also involve migrations through POCs. We hear you asking “How does that work?” Our POCs are planned by isolating and sampling logical portions of your applications and proofing them on the cloud. This allows to bench test and attain various performance and other numbers, to ensure you’re getting the best of what the cloud has to offer and offer your stakeholders concrete numbers to make decisions quick. We also balance the technologies on the cloud with your budget and make sure we have the budget friendly technologies aligned with your company goals and allow proper scaling.
We have provided extensive cloud solutions that affect 10’s of millions of dollars of revenue and saved customers millions in business intelligence delivery and logistics and costs associated to maintaining onsite hardware.
As a cloud consulting services provider, we have enabled a global cable services company with millions of end users and 100s of customers who went from zero cloud to everything cloud within 6 months to a year. Check our Case studies With multi-terabyte datawarehouse, this specific solution has a combination of SQL and NoSQL technologies including specialty caching and Document mgmt. databases and end-to-end monitoring for the entire cloud. Our cloud solutions also ensure global and geographically sustainable high availability and performance so end users have response times similar to locally hosted data centers.
Our SWAT (System Wide Assessment Team) is ready to provide full or partial assessments of your environment and options of which cloud technologies will be appropriate for you.
Call and ask us more on Azure Cloud Consulting, or write to us
Azure Cosmos DB is a superset of the existing DocumentDB service, and Microsoft is transitioning all existing DocumentDB customers to Azure Cosmos DB, free of charge.
The system is designed to scale horizontally, whilst maintaining impressive performance and reliability. This is backed by a confident and generous service-level agreement.
Microsoft says that it can deliver single-digit millisecond latency at the 99th percentile, which is huge. It also says that 99.99 percent of all requests will “complete successfully,” and is also promising a 99.99 percent uptime availability.
This new effort from Redmond is extremely versatile, and can handle pretty much every type of data you’re likely to throw at it, including key-value, document, columnar, and graph types, in a variety of environments, including AI and IoT.
Azure Cosmos DB also plays nice with several NoSQL APIs including MongoDB, Table Storage, DocumentDB SQL, Gremlin, and Azure Tables. The Gremlin and Table Storage are currently in preview mode.
Another strength of Azure Cosmos DB is the ease and speed upon which data can be replicated in different Azure regions, allowing developers to quickly respond to regional surges of traffic. This elasticity doesn’t come at the expense of application downtime.
Posted On: Mar 19, 2018
Starting today, Amazon Kinesis Data Analytics supports real-time hotspot detection, which allows you to automatically detect regions of high density in your data, like a high concentration of vehicles on a highway indicating traffic bottlenecks, surging rideshare requests in a certain area indicating a popular event, or higher sales of products within a category indicating feature similarity. Detecting hotspots like these can help you gain actionable insights quickly and react to changing customer and business needs promptly.
To get started, simply call the Kinesis Data Analytics hotspot function from your Kinesis application. The hotspot function automatically builds and trains an appropriate machine learning model to identify subsections of your data streams that need attention. It identifies and reports one or more bounding boxes of these subsections in real-time.
Kinesis Data Analytics hotspot detection is unsupervised, meaning that the function does not require you to label the data for model training. In addition, Kinesis Data Analytics automatically updates the model behind the scenes to adapt to changes in the data stream. For more information including sample code and hotspot visualization, see Detecting Hotspots on a Stream in the Kinesis Data Analytics developer guide.
Kinesis Data Analytics is the easiest way to process data streams in real time with standard SQL without having to learn new programming languages or processing frameworks. Kinesis Data Analytics is available in the US East (N. Virginia), US West (Oregon), and EU (Ireland) regions. To get started, visit the Kinesis Data Analytics management console.