Azure Data Lake analytics is one of the flagship services from Azure to execute analytics jobs. Azure Data Lake stores took care of storing big data in an optimized way. However, for an end-to-end scenario, the data in storage is useful if it is read by a service and that service can perform analytics on it and gain meaningful insights. The analytics service is compute intensive in nature because of deep processing of a large quantity of data. To setup an environment for such a service involves provisioning and configuring virtual machines, tune them for performance and maintain them. Azure Data Lake analytics provides platform as a service capability for running analytics jobs. It means users no more need to think about provisioning and configuring infrastructure and hardware, rather, they can concentrate on writing their analytics job and focus on the...
United States
Great Britain
India
Germany
France
Canada
Russia
Spain
Brazil
Australia
Singapore
Hungary
Ukraine
Luxembourg
Estonia
Lithuania
South Korea
Turkey
Switzerland
Colombia
Taiwan
Chile
Norway
Ecuador
Indonesia
New Zealand
Cyprus
Denmark
Finland
Poland
Malta
Czechia
Austria
Sweden
Italy
Egypt
Belgium
Portugal
Slovenia
Ireland
Romania
Greece
Argentina
Netherlands
Bulgaria
Latvia
South Africa
Malaysia
Japan
Slovakia
Philippines
Mexico
Thailand