Big Data Starts to Strain Data Warehouse Platforms

 
 
By Michael Vizard  |  Posted 2015-11-13 Email
 
 
 
 
 
 
 
 
 
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    Big Data Starts to Strain Data Warehouse Platforms
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    Big Data Starts to Strain Data Warehouse Platforms

    As data warehouses strain under heavy big data workloads, data warehousing, BI software and advanced analytics will present opportunities for solution providers.
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    Data Warehouse Platforms in Use
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    Data Warehouse Platforms in Use

    61% said their organizations used a traditional warehousing vendor, while 50% used a hybrid approach that blends legacy technology with big data platforms, such as Hadoop and Spark.
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    Top Data Warehouse Issues
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    Top Data Warehouse Issues

    67% were satisfied with their data warehouses. But 31% said the biggest issue with current data warehousing solutions is that they are not designed for modern analytics on big data, Internet of things and other new types of data, and 29% said it is expensive to maintain as data needs and volumes grow exponentially (29%).
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    Top BI Issues
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    Top BI Issues

    58% are satisfied with BI tools. The biggest complaint (32%) was the inability to address big data. Slowness and performance were tied at 21% each as the second-biggest complaints with current BI solutions.
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    Analytics Challenge
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    Analytics Challenge

    As data volumes increase, execs are struggling to glean meaningful insights from their data (60%), and getting access to and analyzing the right data at the right time is a problem (56%). About a quarter (24%) discard or sample data rather than analyze all of it. Nearly half said they still rely on SQL analytics to help them make sense of big data.
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    The Evolving Data Warehouse
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    The Evolving Data Warehouse

    56% reported that their legacy data warehousing platform is handling the new workloads but experiencing the strain, and 42% said the data warehouse keeps breaking under the weight of ballooning analytic workloads.
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    Data Warehouse Confidence
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    Data Warehouse Confidence

    50% were very or completely confident their infrastructure could handle a surge in incoming data. In a rare difference of opinion between CEOs and IT execs, 32% of CEOs were "completely confident" in their existing data infrastructure's ability to handle additional data, compared with just 17% of IT execs.
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    Top Data Warehouse Concerns
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    Top Data Warehouse Concerns

    The most important challenges for traditional platforms and BI tools were cost (47%), traditional technologies not being architected to handle modern workloads (46%) and an explosion in new data types (41%).
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    Data Warehouse Goals
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    Data Warehouse Goals

    48% report that they need to protect their existing IT investments to avoid a costly "rip and replace."
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    Meeting Challenges
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    Meeting Challenges

    To address issues with their companies' traditional data platforms, 62% of execs said they would add tools that can help them maximize their investments and 45% said they would move excess data into storage to deal with later.
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    Reasons to Change Data-Management Systems
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    Reasons to Change Data-Management Systems

    48% said the inability to scale would prompt them to change data-management systems, and 45% said the systems being too slow would be a reason to switch. Tighter IT budgets that leave little room to scale were referenced by 21% of CEOs and IT pros. Only 27% said their data architectures from five years ago would work well five years from now.
 

The data warehouse landscape is rapidly evolving as IT organizations move to embrace big data technologies, such as Hadoop and Apache Spark, according to the findings of a new survey that Researchscape conducted on behalf of Actian, a provider of data management platforms optimized for SQL. The study, based on a survey of 257 U.S. and U.K. CEOs and IT executives, shows that rather than completely replace data warehouse systems in which they have invested millions of dollars, the majority are looking to extend the value of those investments by employing new business intelligence (BI) and analytics apps that can work with both traditional and emerging sources of data. Yet, while most are satisfied with their current data warehouse solution, more than half admit that their systems are starting to strain under the load of big data. In fact, the two primary reasons IT organizations would consider replacing those systems are an inability to scale and a lack of performance. For solution providers across the channel, it looks like data warehousing along with BI software and advanced analytics will soon become a multibillion dollar opportunity that will apparently require just a little more patience to fully exploit.

 
 
 
 
 
 
Mike Vizard has been covering IT issues in the enterprise for 25 years as an editor and columnist for publications such as InfoWorld, eWeek, Baseline, CRN, ComputerWorld and Digital Review.
 
 
 
 
 
 

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