What’s unique about the Infosys Information Platform (IIP) when compared to other industry leading platforms such as Cloudera, MapR?
IIP is an open source-based analytics platform enhanced with Infosys intellectual property (IP) toolsets that provide:
  • Exceptional analytical and statistical capability
  • ETL capability with data discovery
  • Access control list (ACL) security
  • Data authorization with cell-level security
  • GUI-based modeling.
IIP provides tools for development, administration, monitoring, security, etc. The platform is available on public cloud (AWS/Azure), private cloud (provided by Infosys) and on-premises. You can buy the runtime as well as the custom application from a single vendor. If you prefer an engineered system, Infosys will provide it along with dedicated support. IIP unlocks business value by eliminating vendor lock-in, delivering a competitive performance-to-cost ratio and reducing total cost of ownership.
IIP’s technology stack consists of:
  • Core layer including open source components such as Spark, HDFS, Sqoop, Storm, and Kafka as well as integrated R Studio for analysis
  • Tools and packages layer including those required for data ingestion, data modeling, monitoring, authentication, business rules, and algorithms
  • Business intelligence (BI) and analytics appliances layer (part of the architecture) along with query languages in Spark, Hive, integrated application programming interfaces (APIs), user interface, etc.
  • Hardware layer including clusters, appliances and components required to support the platform

IIP is built on a three layers that offer:
  • Flexible data management - through open source components that manage, transform, analyze and visualize your data
  • Insights development and analytics - through tools, algorithms and packages to enhance analytics and insight development
  • Insights-as-a-service - through customization, integration, implementation, and data science capabilities

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Infosys will support the open source vulnerabilities for components built by Infosys.
IIP can ingest all types of data – structured, unstructured, documents, spreadsheets, blogs, portal content, logs, social media, audio, video, etc., thereby enabling enterprises to generate meaningful correlations across diverse data sets.
IIP allows data to be ingested from diverse data sources into the data lake for processing and analysis. The data sources include NoSQL database, RDBMS, streaming data source (such as Twitter and Facebook), flat files, and web URLs. It also supports Rest API, Desktop Uploader, HANA, KAFKA, JMS, file server for CSV, XML, JSON file formats, etc.
IIP provides security frameworks for authentication, authorization, session management, and data encryption. Authentication is done using Kerberos OS- based or LDAP integrated access to the platform. It provides role based authorization control mechanism for data access with data specific, which also provides cell level security through HBase.
Security management and session control is based on Apache Shiro security framework. It supports data encryption through Hadoop 2.7.1 to protect the data at physical layer.
IIP can be deployed on public cloud (AWS/Azure), private cloud (provided by Infosys) and customer on-premises.
Yes, with IIP, it is possible to have interoperability with any commercial distribution of Hadoop.
IIP provides role-based access control with cell-level authorization and multi-threading data ingestion and computation. It enables authentication through integration with LDAP and Apache Shiro-based session control.
Yes, with IIP, you can persist data that you have ingested or used for data modeling.
IIP can be deployed instantly on cloud or any infrastructure (private/public cloud and on-premises) through its single-click installer that installs all components on a multi-node cluster within a few hours.

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