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8 Top Data Science Platform Developers in the World

Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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3 Major Architecture Components in QlikView

The QlikView Desktop is a Windows-based desktop tool that is used by usiness analysts and developers to create a data model and to lay out the graphical user interface (GUI or presentation layer) for QlikView apps.

It is within this environment where a developer will use a SQL-like scripting environment augmented by ‘wizards’) to create the linkages (connection strings) to the source data and to transform the data e.g. rename fields, apply expressions) so that it can be analyzed and used within the UI, as well as re-used by other QlikView files.

Related: QlikView+Tableau+Jobs (Search and know skills needed)

The QlikView Desktop is also the environment where all user interface design and user experience is developed in a drag-and-drop paradigm: everything from graphs and tables containing slices of data to multi-tab architectures to application of color scheme templates and company logos is done here.


QLIKVIEW SERVER (QVS) - The QVS is a server-side product that contains the in-memory analytics engine and which handles all client/server communication between a QlikView client (i.e. desktop, IE plugin, AJAX or Mobile) and the server. It includes a management environment likView Management Console) for providing administrator access to control all aspects of the server eployments (including security, clustering, distribution etc.) and also includes a web server to provide front-end access to the documents within.

The web server’s user portal is known as Access Point. (It’s important to note that while the QVS contains its own web server,one can also utilize Microsoft IIS (Internet Information Server) for this purpose, too). The QVS handles client authorization against existing directory providers (e.g. Microsoft Active Directory, eDirectory) and also performs read and write to ACLs (access control lists) for QVW documents.

QLIKVIEW PUBLISHER -The QlikView Publisher is a server-side product that performs two main functions:
1) It is used to load data directly from data sources defined via connection strings in the source QVW files.
2) It is also used as a distribution service to reduce data and applications from source QVW
files based on various rules (such as user authorization or data access privileges) and to distribute these newly-created documents to the appropriate QlikView Servers or as static PDF reports via email.
Data sources that can be readily accessed by QlikView include standard ODBC or OLEDBcompliant
databases, standard flat files such as Microsoft Excel, XML, etc. as well as from systems such as SAP NetWeaver, Salesforce.com, and Informatica.

Related: QlikView Video Tutorials

QLIKVIEW ITPro- QlikView’s approach to BI allows for a self-service model for business users on the front end while maintaining strict data security and governance on the back end. Because of this approach, IT professionals—from enterprise architects to data analysts — can remain focused on their core competencies: data security, data and application provisioning, data governance and system maintenance. They no longer have to spend time writing and re-writing reports for business users.
In a typical QlikView deployment, IT professionals focus on:
  1. Managing data extracts and data and system security
  2. Creating and maintaining source QlikView files (QVWs and QVDs)
  3. Controlling data refresh and application distribution through QlikView Publisher
  4. Administering QlikView deployments via the QlikView Management Console (part of QVS)

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