DataSense Analytics uses 22 technologies like Apache Hadoop, Apache Spark, and Apache Spark MLlib. View DataSense Analytics's complete Tech Stack.
DataSense Analytics Business Intelligence And Analytics Technology
Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets.
Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Spark MLlib is an open source, scalable machine learning library, with APIs in Java, Scala, Python, and R.
Smartlook helps business owners to track user activity and identify problems on their website using heatmaps, visitor screen recordings, and analytics. Smartlook is a qualitative analytics solution for web and mobile helping over 200,000 businesses of all sizes and industries answer the whys behind users actions why do users churn, or why arent they using a feature, or why are they skipping onboarding? Now user can eliminate the guesswork.
Tensorflow is an end-to-end open source machine learning platform. It allows developers to create large-scale neural networks with many layers.
DataSense Analytics Devops And Development Technology
GitHub is a place to share code with friends, co-workers, classmates, and complete strangers, helping individuals and teams to write faster, better code.
GoDaddy's website builder, formally called Websites+ Marketing, is an online editing and publishing tool that helps users make a responsive website with no technical knowledge required.
DataSense Analytics Communications Technology
Gmail is a free, advertising-supported email service offered as part of Google's G Suite, with 15GB of storage, color-coded inbox filters and unsend button.
DataSense Analytics Computer Networks Technology
GoDaddy Inc. designs and develops cloud-based technology products for small businesses, Web design professionals, and individuals in the United States and internationally. It provides domain name registration product that enables to engage customers at the initial stage of establishing a digital identity; hosting products, such as shared Website hosting, Website hosting on virtual private servers and virtual dedicated servers, managed hosting, and security.
DataSense Analytics Collaboration Technology
G Suite is a suite of apps from Google which offers a number of tools to communicate and collaborate with colleagues, store files, and manage data.
Hive is powerful, intuitive project management for modern business.
DataSense Analytics Programming Languages And Frameworks Technology
Hypertext Markup Language (HTML) is the standard markup language for documents designed to be displayed in a web browser. It can be assisted by technologies such as Cascading Style Sheets (CSS) and scripting languages such as JavaScript.
JavaScript is the programming language of HTML and the Web.
Meteor is a complete platform for building web and mobile apps in pure JavaScript.
MongoDB is the next-generation NoSQL database that helps businesses transform their industries by harnessing the power of data.
MySQL is an open source database that supports scalable web-based and embedded database applications.
Node.js is an open-source, cross-platform, JavaScript runtime environment that executes JavaScript code outside of a web browser.
PHP: Hypertext Preprocessor is a server-side scripting language designed for Web development, but also used as a general-purpose programming language. PHP code may be embedded into HTML code, or it can be used in combination with various web template systems, web content management systems, and web frameworks.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
DataSense Analytics Platform And Storage Technology
Linux is a family of open source Unix-like operating systems based on the Linux kernel.
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