Intelligent Data Lake
We often configure the analytics infrastructure our clients require. In today’s modern analytics world, that means we’re often configuring data lakes. For various customers, we’ve created data lake formats that allow scalable and simple integration of AI and BOTs. Producing more intelligent data lakes is a corporate priority that Neal Analytics focuses on.
DataBricks is a unified analytics platform based upon spark that our team finds accelerates collaboration and scaled use of Jupyter notebooks. It’s an awesome platform that eliminates much of the big data set-up costs we see in larger analytics deployments. Our teams love how it seamlessly integrates big data processing with artificial intelligence by eliminating a lot of the overhead requirements using Spark.
Spark on HDInsight
Our team has a deep expertise in use of PySpark and SparkR on HDInsight. Our experience in ML and AI development makes it easy for us to adopt new platforms, and for customers who wish to adopt a Hadoop strategy, we often utilize Spark with modern tooling.
Azure Machine Learning
Our team of data scientists specialize in utilizing Azure Machine Learning, R, and Python in order to implement scalable API-based algorithms that can grow successfully with our customers. Our expertise in Microsoft’s PAAS tools lets us focus on driving data science value. Sometimes, we even use Azure Machine Learning on-premise, distributed through Azure Stream Analytics.
Microsoft R Server
Many of our customers wish to run their analytics infrastructure on-premise, and when this is the case, we often choose to implement Microsoft R Server. This technology allows us to scale our modeling techniques to on-premise cluster-based technology that is often required in larger implementations.
Microsoft’s Cosmos DB offers a distributed multi-model service, enabling turnkey global application database distribution. Cosmos is a really neat new technology, and Neal Analytics can help incorporate this service into your applications and platform.
Azure Search enables simple, easy application of Microsoft’s many cognitive services. Built through years of effort, and with fairly simple yet scalable setup, this feature powers many of our most diverse code distributions, and is very useful for data warehousing, data lake, collaboration, and BOT projects.
IOT Platform & Innovation
Modern advancements in IOT have made it increasingly easy to create analytics platforms off of device signals. Neal Analytics has helped many customers innovate in the IOT space, assisting with platform set-up, the resultant big-data analytics, and platform monetization through use of data. Our specialists can help you add speed and a practice of success to your IOT team.