BI technologies, BI management, BI data analytics, BI reporting tools
Database management systems (DBMS), Data warehousing best practices, Data architecture and data modeling concepts
Data quality tools, Data quality best practices, Data governance model
Enterprise data integration and enterprise application integration, SOA data services, ETL in data warehousing, Master data management (MDM), Customer data integration (CDI)
IBM India, Oracle India, Microsoft India
The flag carrier airlines of India owned by Air India, a Government of India enterprise, faced a major technical glitch in their check-in system
Indian IT spending is forecast to reach $73.3bn in 2015, up by 9.4% from $67.1bn in 2014
Business-to-business (B2B) suppliers are investing in technology to address changing buying habits in the consumer retail sector, as online business purchases surge.
IBM is planning its first datacenter focused on providing cloud services to Indian organizations
Amazon Web Services (AWS) launched AWS Aurora – a MySQL-compatible database engine for its relational database service, billed by analysts as a “database game-changer” – at its re:Invent 2014 user conference.
Google has creates Hindi-language website to add 300 million Indian internet users by 2017
India is moving towards a digital future with dreams of smart cities, but Indian IT companies seem to be unconscious to the need for data security
Chinese mobile phone maker Xiaom is to set up a datacenter in India to allay fears over data security raised by the Indian Air Force (IAF).
Detecting fake websites needs to be part of all companies' security strategies, according to security and domain name experts.
This editor has waxed poetic on the idea of the 'DevOps Genius' enough. However, a look at the history of SQL-on-Hadoop in big data analytics gives the lie to that notion.
The Neo4j graph DBMS delivers high performance and availability, with its native graph capabilities for data storage and access.
MongoDB NoSQL DBMS is designed for running modern applications that rely on structured and unstructured data and support rapidly changing data.
Expert David Loshin provides insight into the process of identifying your must-have features when selecting a big data analytics tool.
All smart businesses these days want to be data-driven. With a shortage of knowledgeable workers, getting to that point can be hard -- but the head of BI at online lender Avant is helping it to do so.
Before selecting a BI analytics tool, you should create BI use cases and then match those requirements with BI analytics tool categories and styles.
Oracle updates its Sales Cloud to increase sales; Infer announces new lead gen product; and Xactly Strategic Services aims to drive workforce management.
Knowing as much as possible about customers is the first step in personalized marketing. But these practices mean nothing without customer trust.
Effective social media customer service requires companies to make some key decisions on staffing and division of labor.