Enterprise IT Uncertainty Around Big Data Initiatives

Recent data from SnapLogic and TechValidate suggests IT leaders are excited about big data’s ability to power sharper analytics and other modern applications, but struggle with limited skills and resources.

For this survey, SnapLogic and TechValidate queried more than 100 IT leaders from large enterprises nationwide between December 15 and December 31, 2014.

While the survey shows there’s a lot of indecision right now when it comes to big data plans and technologies, SnapLogic customers tell us that the ability to easily connect with other systems is essential to the success of their big data initiatives.

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Enterprise IT Uncertainty Around Big Data Initiatives
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Big Data Investment - Complement or Compete?

While big data and Hadoop are popular industry buzzwords, most companies are still uncertain about how and when to implement these technologies. For example, when asked whether big data investments at their companies will work with existing infrastructure, and how they will integrate big data technologies, most (52%) responded that it was too soon to say.

Read the David Linthicum whitepaper: The Death of Traditional Integration

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Big Data Drivers

Survey results show strong interest for using big data to achieve business goals, using integrated data sets to quickly understand a customer’s changing needs. Top drivers for investing in big data solutions include customer analytics, operational analytics, data-driven products and services/Internet of Things.

Watch the webinar: SnapLogic Big Data Integration: A Modern Platform to Connect Data, Apps and APIs

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Big Data Investment Priorities in 2015

Most respondents said it’s too soon to say how big data investments will work with existing data management infrastructure in the next three to five years. However, among IT leaders investing in big data technologies this year, analytics and integration tools were at the top of their shopping lists.

Read the blog post: Why Same Old, Same Old (SO, SO) Integration Won’t Cut It for Big Data Integration

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Barriers to Big Data ROI

While data fragmentation is high on the list, the usual suspects were rated as the biggest barriers to big data ROI: limited skills and resources, compliance and security. As Hadoop continues to gain enterprise adoption, at SnapLogic we’re focused on elevating access to rich data stores for the average worker, not just the data scientists.

Find out how SnapReduce 2.0 Can Double Your Data Scientists

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Cloud Data Infrastructure

The majority of respondents said they didn’t know the percentage of corporate data infrastructure that will be in the cloud in the next 3-5 years, while 15% said 31-60% would be in the cloud and 13% said 61-99%. SnapLogic is able to ingest, prepare and deliver cloud and on-premises data (big and small).

Read the technical whitepaper: SnapLogic Elastic Integration Architecture

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Hadoop Tools

While the majority said they didn’t know what Hadoop tool was in use or for planned use, others are using (or plan to use) MapReduce, Hive, Pig, Spark and others.

Read the Intellyx whitepaper: From ETL to Volume, Variety and Velocity

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Big Data Distribution

Again, the majority here indicated they didn’t know of Hadoop distribution in use or for planned use but others are using (or plan to use) Apache Hadoop, Cloudera, MapR and Hortonworks.

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