Databases vs Hadoop vs Cloud Storage

mcknightcg

Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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Spotlight

Telecom services are becoming increasingly commoditized, and telecom companies or telcos are trying to break out of this impasse both strategically and operationally. Using predictive analytics techniques could be the solution. While Predictive Analytics is not an altogether new area, the telecom industry is relatively low in adoption of predictive analytics, data mining and operations research in its daily operations. This white paper describes the various ways by which analytics can enhance revenue, reduce churn and increase sales, thereby offering a telco several opportunities to outthink and outpace its competitors. We also look at possible areas of focus for telcos in terms of predictive analytics.

OTHER ON-DEMAND WEBINARS

Financial Analytics Fundamentals Use Data Science And Analytics In BFSI

analyticsindiamag

For a data analyst, financial analytics is one of the most useful skill sets to inculcate given the rapid growth of roles in this booming sector. A specialisation in this field will be a value-add given the rapid rise of fintech in India’s digital ecosystem. Financial analytics helps companies uncover deeper insights into the company’s finances and can help in finding pain points and new streams of revenue. Financial Analysts work in investment firms, banks, insurance sector and digital payments companies.
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How Enterprises Are Leveraging Data & Analytics to Deliver 2X More Value from Their Shared Services Centers

everestgrp

As technology adoption increases exponentially, organizations are challenged by the proliferation of data that the technology generates. Increasingly, Shared Services Global In-house Centers (GICs) are leading their organizations’ efforts to tame data and derive key insights from it. Based on our recent Pinnacle Model research on data & analytics maturity in SSCs/GICs, this webinar will show executives how they can build capabilities in their SSCs GICs to turn this challenge into a strategic asset, generating value and enhancing service delivery
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A Review of the Top Game Changing Data Trends for 2018

infogix

During this interview-style webcast Infogix’s Emily Washington, SVP of Product Management looked ahead in 2018 and predicted what trends will come to fruition, what new concepts will graze the horizon, and what may fail to launch.
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Harnessing Big Data in Healthcare

Healthbox

The evolution of sensors, smart phones, medical devices, and wearables all collecting and uploading information in real-time has led to the rapid accumulation of health-related data, or Big Data. The sheer volume, velocity, and variety of the data being collected poses challenges for harnessing and ensuring its validity to benefit both the macro, population-level health and the micro, evidence-based precision medicine. Join Dr. Eric Louie, Chief Medical Officer, and Jessica Baker, Associate, as they discuss changes in healthcare data over time and how to overcome human biases, curate meaningful data sets, and better inform actionable decisions in the healthcare setting.
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Spotlight

Telecom services are becoming increasingly commoditized, and telecom companies or telcos are trying to break out of this impasse both strategically and operationally. Using predictive analytics techniques could be the solution. While Predictive Analytics is not an altogether new area, the telecom industry is relatively low in adoption of predictive analytics, data mining and operations research in its daily operations. This white paper describes the various ways by which analytics can enhance revenue, reduce churn and increase sales, thereby offering a telco several opportunities to outthink and outpace its competitors. We also look at possible areas of focus for telcos in terms of predictive analytics.

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whitePaper

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whitePaper

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whitePaper