Big Data Translates Into Big Demand for Tech Tools

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.