Splice MachineSplice Machine is a big data analytic tool. Their architecture is portable across public clouds such as AWS, Azure, and Google. Features: It can dynamically scale from a few to thousands of nodes to enable applications at every scale The Splice Machine optimizer automatically evaluates every query to the distributed HBase regions Reduce management, deploy faster, and reduce risk Consume fast streaming data, develop, test and deploy machine learning models
Explore Data & Analytics Statistics
- Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.
- By 2025, more than a quarter of all data created will be real-time, with 95% of that data generated by the Internet of Things.
- 36 percent of investment professionals use web scraping to derive data.
- Businesses that use big data saw a 10 percent reduction in overall cost.
- Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
- Businesses that use big data saw a profit increase of 8–10 percent.
- 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
- 83 percent of enterprise executives say they’ve pursued big data projects to gain a competitive advantage.
- 90 percent of IT professionals plan to increase spending on BI tools.
- Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
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