Big Data Translates Into Big Demand for Tech Tools
Big Data Translates Into Big Demand for Tech Tools
With more data than ever to manage—from a growing number of sources and data types—enterprises are more likely to deploy advanced IT tools to handle all of it.
Big and Bigger
61% of the IT and business professionals surveyed said their company is using big data platforms and interfaces, up from 50% who said that last year.
Well-Served
79% of the IT and business pros surveyed said their organization has adopted Software as a Service, up from 62% in 2016 who said their company had adopted SaaS.
Top Big Data Platforms and Interfaces
Hadoop Hive: 25%,
Spark SQL: 13%,
Hortonworks, Cloudera CDH, Cloudera Impala, Apache Soir and Oracle BDA (all tied): 9%
Most Popular SaaS Data Sources
Office365: 43%
Google Analytics: 29%
Salesforce: 24%
Said “Yes” to NoSQL
57% of the IT and business pros surveyed said their organization deploys NoSQL databases, up from 49% in 2016 who indicated their company did this.
Leading NoSQL Database Tech
MongoDB: 29%,
Cassandra: 12%,
HBase: 8%
Top Data Integration Challenges
Spread of data through increasing number of data sources: 49%,
Need to integrate cloud data with on-premise data: 41%,
Variety of data that is structured and unstructured: 38%,
Volume of data, including big data and internet of things-based data: 32%,
Velocity of data: 20%
Cautionary Note
71% said they have concerns about security data breaches when exposing on-premises data “beyond the firewall,” and 50% have privacy-related reservations in doing this.
Standard Bearer
97% of the IT and business pros surveyed said their organization uses data access standards, up from 88% who said this in 2016.