Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data.It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.
Azure offers solution partners that can help deploy and manage your existing solutions, as well as offer ready-made or custom solutions for you. Plus, you can find an experienced managed service partner or have your existing outsourcing partner become an Azure partner.

Sample Architecture

R

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software[7] and data analysis. Polls, data mining surveys and studies of scholarly literature databases, show substantial increases in popularity in recent years. As of August 2018, R ranks 18th in the TIOBE index, a measure of popularity of programming languages.

SAS

SAS stands for the Statistical Analysis System, a software system for data analysis and report writing. SAS is a group of computer programs that work together to store data values and retrieve them, modify data, compute simple and complex statistical analyses, and create reports.

Matlab

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

Python

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales. In July 2018, Van Rossum stepped down as the leader in the language community after 30 years. 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.

Tableau

Tableau Software is a software company headquartered in Seattle, Washington, United States that produces interactive data visualization products focused on business intelligence. It initially began in order to commercialize research which had been conducted at Stanford University's Department of Computer Science between 1999 and 2002. It was founded in Mountain View, California in January, 2003 by Christian Chabot, Pat Hanrahan and Chris Stolte, who specialized in visualization techniques for exploring and analyzing relational databases and data cubes.[7] Tableau products query relational databases, OLAP cubes, cloud databases, and spreadsheets and then generates a number of graph types. The products can also extract data and store and retrieve from its in-memory data engine.

Hive

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API. Since most data warehousing applications work with SQL-based querying languages, Hive aids portability of SQL-based applications to Hadoop. While initially developed by Facebook, Apache Hive is used and developed by other companies such as Netflix and the Financial Industry Regulatory Authority (FINRA). Amazon maintains a software fork of Apache Hive included in Amazon Elastic MapReduce on Amazon Web Services.