How OLAP on Hadoop helps you increase scale of BI phenomenally?

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How OLAP on Hadoop helps you increase scale of BI phenomenally?

With high-velocity data coming in from a wide variety of sources, implementing a big data stack makes sense but does it solve all your data problems? Having all your data on Hadoop, without being able to access it through a BI (Business Intelligence) platform is like keeping your data in a cold storage till it loses its sheen.

Storing rich historical data on Hadoop is the first step but once you have it all in one place, it becomes necessary to make it accessible to all the stakeholders who need it.
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OLAP on Big Data and its Business Impact

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OLAP on Big Data

OLAP on Big Data and its Business Impact

Big Data is an important asset for an organization today and its impact on business is undeniable. However, very few are able to deal with the speed and scale at which data gets accumulated. Most organizations find it challenging to connect their BI tools to Big Data as response times are painfully slow. This is because every time a BI query is fired, a huge amount of data needs to be processed. As a result, queries that must return in seconds take minutes and hours, and users find it difficult to access and use their Big Data reserves for business impact.
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Strata Data Conference: Bell Canada on how they transformed their BI on Big Data with Kyvos

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Strata Data Conference: Bell Canada on how they transformed their BI on Big Data with Kyvos

Strata Data Conference, one of the largest data conferences in the world, is about to begin in New York on September 11 this year. The 3-day conference is a great platform where Big Data experts and business professionals meet to shape the future of businesses and technologies. The conference schedule includes several training and speaking sessions where experts will share their perspective on the latest technologies as well as detailed case studies on real world implementations.
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Best Practices for implementing Cloud Business Intelligence at massive scale

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Best Practices for implementing BI on Big Data in the cloud

Moving Big Data analytics to cloud is cool, but are you ready for it? Here are some best practices that will ensure that the transition is smooth and successful.

Big Data analytics in the cloud can open a whole new world to your business. It can help you scale limitlessly and offer analytic capabilities to your users on an anytime, anywhere basis. However, if you really want to capitalize on the benefits of cloud, you need to deploy analytics in a way that it is easily available, fast, and reliable.
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