Technology We Believe In
Syntelli has strong and established partnerships with leading technology providers. As a technology-neutral service provider, we can help you choose technology based on your unique situation and business goals.
Here are some of the latest Big Data analytics software platforms we use.
Apache™ Hadoop®, is open source software, which enables distributed processing of Big Data sets across many different server clusters. Hadoop was designed for a high degree of failure tolerance. And, it scales up from a single server to a hundreds of machines. The source of Hadoop cluster flexibility and resilience is its capability to identify and handle failures at the application rather than the hardware level.
Learn more about Hadoop and how Syntelli consultants apply their Hadoop experience.
Syntelli data scientists also work with MapR Apache Spark™, another open-source software framework. A cluster computing framework, Apache Spark is written in the Scala programming language. Spark runs in the Java Virtual Machine environment and uses the resilient distributed dataset (RDD) application programming interface (API).
Spark was designed to improve Big Data analytics capabilities such as iterative algorithms for machine learning, interactive data mining and processing, faster processing speeds, streaming data analysis and sensor data processing.
Learn how Syntelli data scientists use Apache Spark to rev up Big Data processing and analytics.
RapidMiner is the industry’s premier open-source platform for predictive analytics. It’s also one of the frameworks in the Leaders’ quadrant in Gartner’s 2015 Magic Quadrant for Advanced Analytics Platforms.
The platform enables businesses of any size and industry to close the gap between insights and action by going beyond analysis of past events. Instead, RapidMiner uses advertising campaign success data, customer lifetime value and sentiment analysis to predict future behavior or results. Almost anyone can use RapidMiner. It provides easy access to users in any environment and eliminates the need for programming experience.
Learn how RapidMiner can help you run reliable predictive analytics—without a crystal ball.
Tableau Desktop software is based on breakthrough technology developed at Stanford University. It enables users to analyze almost any type of structured data and produce visually intuitive charts, graphs, dashboards and reports in minutes. With Tableau’s easy-to-use, drag-and-drop interface, business users can customize views, layouts, shapes, colors and more to make their data easy to understand and act on. Tableau offers business users browser-based analytics and data visualization at a fraction of the cost of traditional BI software.
Learn how Tableau empowers non-technical users to go beyond canned BI questions and learn what’s really going on “under the hood” of their business.
TIBCO™ Spotfire® is a great fit for business users looking to perform visual and exploratory analysis of data stored in different systems such as Salesforce.com, SAP, Oracle, Excel, Access or SQL Server® databases.
Spotfire drastically reduces the time and effort spent analyzing data. Business users can handle data sets of any size and create visualizations to spot trends, patterns, and anomalies that can influence business decisions and increase employee productivity.
There’s no magic in using Spotfire to make business processes more efficient.
Python™ is one of the most popular languages in data science today. Often used for rapid application development, Python offers many libraries, which are used to implement high value-added data analysis and data mining techniques, such as neural networks and random forests. In business applications, Python is used to simplify extension of user interfaces such as Iron Python in Spotfire.
R is an open source software designed for serious statistical computing and graphics. R’s appeal is that it runs on a wide variety of UNIX platforms, Windows and the MacOS. R also provides a wide range of statistical and graphical techniques. Its effectiveness stems from its conditionals, loops and user-defined functions and input/output facilities.
When you engage in hard-core development and analytics, R and Python might be just what you need.
Get in touch with one of our expert consultants to see how you can leverage these big data technologies for your company!Let’s Talk!