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Fruity Voyage of the Cross-infrastructure/Analytics 2016:

As he is the chief creative officer of Pixar Animation Studios, Walt Disney Animation Studios and DisneyToon Studios doesn’t mean that he is the most imaginative person. Ya I am talking about the great animator and the director of Toy Story series, John Lasseter.

In our 4th series of Big Data Landscape I thought maybe I can beat him in the artistic skills. So I thought of recreating every single toy character in his movie as a fruit with cross-infrastructure/analytics character. How about that?? Getting curious ah?! C’mon lets dive into the cart of fruits.

bda-landscape-phase-4

Melonoody: Amazon Web Services:watermelon

Amazon Web Services (AWS), is a subsidiary of Amazon.com, which offers a suite of cloud computing services that make up an on-demand computing platform. The most central and best-known of these services arguably include Amazon Elastic Compute Cloud, also known as “EC2″, and Amazon Simple Storage Service, also known as “S3″. With Amazon Mobile Analytics, you can measure app usage and app revenue.

avocadoMicrosoft- Jessicado:

Azure supports the broadest selection of operating systems, programming languages, frameworks, tools, databases and devices. Run Linux containers with Docker integration; build apps with JavaScript, Python, .NET, PHP, Java and Node.js; build back-ends for iOS, Android and Windows devices. The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios.

cranberry

Google- Buzz Cranberry:

BigQuery is Google’s fully managed, petabyte scale, low cost analytics data warehouse. BigQuery is serverless, there is no infrastructure to manage and you don’t need a database administrator, so you can focus on analyzing data to find meaningful insights, use familiar SQL, and take advantage of our pay-as-you-go model.

pear2

IBM- HammPear:

The InfoSphere Platform provides all the foundational building blocks of trusted information, including data integration, data warehousing, master data management, big data and information governance. The platform provides an enterprise-class foundation for information-intensive projects, providing the performance, scalability, reliability and acceleration needed to simplify difficult challenges and deliver trusted information to your business faster.

apple2

Talend: Mrs. Apple Head:

Talend is a software vendor specializing in Big Data Integration. The company provides big data, Cloud, data integration, data management, Master Data Management, data quality, data preparation and enterprise application integration software and services.

blueberry2


TIBCO-PeepBerry:

TIBCO Software Inc. is an American company that provides integration, analytics and events processing software for companies to use on-premises or as part of cloud computing environments. The software manages information, decisions, processes and applications for over 10,000 customers.

cherry2

Teradata- BarbCherry:

Teradata Corporation is a publicly held international computer company that sells analytic data platforms, marketing applications and related services. Its analytics products are meant to consolidate data from different sources and make the data available for analysis. Teradata marketing applications are meant to support marketing teams that use data analytics to inform and develop programs.

orange2

Hp Autonomy-Mr. Orange Head:

HPE Vertica Advanced Analytics and HPE IDOL provide you with options to explore and analyze massive volumes of business data, machine and sensor data, as well as unstructured rich human information including text, audio, and even video.

grape

SAP- GrapeRex:

SAP HANA, an in-memory platform that runs analytics applications smarter, business processes faster, and data infrastructures simpler.

pine3

SAS- Slinky Pine: SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.

Uffff… I am really sorry Mr.John Lasseter, I can now imagine how tough your job is. Alright I accept that my recreation is not upto the mark of toy Story but at least you could get some information on Cross-infrastructure/analytics. Right?!

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