Big Data Translates Into Big Demand for Tech Tools

 
 
By Dennis McCafferty  |  Posted 09-29-2017 Email
 
 
 
 
 
 
 
 
 
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    Big Data Translates Into Big Demand for Tech Tools
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    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.
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    Big and Bigger
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    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.
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    Well-Served
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    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.
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    Top Big Data Platforms and Interfaces
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    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%
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    Most Popular SaaS Data Sources
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    Most Popular SaaS Data Sources

    Office365: 43% Google Analytics: 29% Salesforce: 24%
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    Said
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    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.
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    Leading NoSQL Database Tech
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    Leading NoSQL Database Tech

    MongoDB: 29%, Cassandra: 12%, HBase: 8%
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    Top Data Integration Challenges
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    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%
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    Cautionary Note
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    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.
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    Standard Bearer
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    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.
 

With the volume and velocity of data growing staggeringly fast, an increasing number of companies are investing in big data platforms and interfaces—as well as a variety of other data-focused tools—to respond to the subsequent demands on IT, according to a recent survey from Progress. The accompanying report, "2017 Data Connectivity Outlook," indicates that Hadoop Hive and Spark SQL lead the list of top big data platforms and interfaces. As for Software-as-a-Service (SaaS) data solutions, CIOs and their tech teams are most likely to opt for Office365 and Google Analytics. Through these and other deployments, they hope to overcome major data-related challenges, which include the spread of data through an increasing number of data sources and the need to integrate cloud data with on-premises data. "We're seeing highly skilled data teams, data engineers, data scientists and data analysts expanding in the enterprise," said Sumit Sarkar, chief data evangelist for Progress. "Distributed architectures for big data and the cloud make it cost-effective to store data, and there are a number of sophisticated data management stacks to clean and transform it. The final leg of this journey is data access [from] a growing number of data sources of different shapes and sizes, and deployed across firewall boundaries in the cloud and on the ground. There is no magic bullet, but industry standard data APIs … represent an opportunity to really connect enterprise systems and focus hungry data consumers on analyzing data, rather than learning how to access it. Many CIOs recognize this and mandate adoption of open-data access standards to future-proof their data investments." An estimated 1,200 global IT and business professionals took part in the research.

 
 
 
 
 
Dennis McCafferty is a freelance writer for Baseline Magazine.

 
 
 
 
 
 

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