Big Data can be analyzed for insights that lead to better decisions and strategic business moves.
Collect, analyze, repeat.
Big Data Architecture Consulting :
Business case definition
Evaluation of technology and opting the right platform
Architecture Assessment and Definition
Prototyping & Benchmarking
Big Data Integration Services :
Support/Integrate Big Data functionality within the Data Appliance
Support integration of Data using ETL tools for Big Data Platforms
Managing & handling Unstructured & Structured Data with large volume
Development Services :
Development on Columnar DBs, Cloud, RDBMS, Data Warehouse, Data Appliances and Commodity Hardware’s
Develop Big Data eco system in the organization
Both on premise and cloud(Public & Private) solutions
Big Data Insights :
Enable Reporting and Analytics capabilities over Big Data Platforms & Data Appliances
Direct & Indirect Analytics
Interactive Reports, Business Analytics, Performance Management
Forecasting, predictive analytics, scoring, pattern search, rule discovery
BI & Analytical Tools – SAS, SPSS, BusinessObjects, Cognos, Qlikview, MicroStrategy, Pentaho, etc
Big Data on Cloud
Cloud computing is a great euphemism for centralization of computer services under one server. It is the third wave of the digital revolution.
Big data applications help enterprises make sense of their data and discovers meaningful insights that drive business optimizations. But with large volumes of data, a shortage of expertise, and large upfront investments, customer project costs are spiraling out of control. With Big Data on Cloud, customers can quickly provision a robust environment powered by latest Big Data technologies that’s sized to fit their high-volume data processing needs and budget. Analytos’s artisans helps it’s customer in every stage of the Big Data lifecycle on the Cloud.
Cloud platforms help companies derive faster time to value from their Big Data projects.
The agility and flexibility of the Cloud provides greater flexibility to Big Data infrastructure management. Cloud platforms change the model regarding how the infrastructure is operated by providing an improved Total Cost of Ownership (TCO).
Cloud Platforms provide early adapters easier – and less expensive access to new advances in Security and Compliance controls. Hybrid Cloud environments may provide infrastructure management the greatest flexibility to support current systems while they develop new applications.
Vision. Commitment. Partnership.
Amazon Web Services (AWS) is a collection of remote computing services, also called web services, that make up a cloud computing platform offered by Amazon.com. The most central and well-known of these services are Amazon EC2 and Amazon S3.
Google Cloud Platform is a cloud computing platform by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube.
Azure is Microsoft’s cloud platform: a growing collection of integrated services—compute, storage, data, networking, and app—that help you move faster, do more, and save money.