How to Scale New Products with a Data Lake on AWS and Qubole

awscloud.com

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.
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Spotlight

Consumers expect to be served real-time recommendations customized to their needs. Retailers like Walmart, eBay, and adidas power their recommendations with a graph database and see performance thousands of times faster than with a MySQL database. Read this white paper to learn how graph-powered recommender systems can give you

OTHER ON-DEMAND WEBINARS

ON DEMAND Q2 WEBINAR PROMOTION: "TOP 5 ELEMENTS OF A WINNING DATA STRATEGY" Organizations with a very effective enterprise data strategies report more profits and better resiliency, according to a recent Enterprise Data Maturity research report. But there’s a catch: less than half of enterprise respondents believe their data str
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Riding the Data Privacy Wave: How Will You Stay Afloat?

IBM

Data privacy regulation is bigger than just GDPR. Other countries and jurisdictions are enacting their own versions of the data privacy regulation, each with subtle nuances - such as the California Consumer Privacy Act (CCPA), Lei Geral de Proteção de Dados (LGPD), and more - and that’s on top of existing privacy regulations. Moreover, consumers increasingly expect more protection for their sensitive information. A recent IBM-Harris poll of 10,000 individuals revealed that 75% of consumers won’t buy from companies they don’t trust no matter how great their product or service.
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The Many Faces of Metadata Management

tdwi.org

Few things bring down the value of data faster than confusion and uncertainty about what it is, where it came from, and whether it is good quality data. Yet as more users seek to access and interact with data and reports for business intelligence and analytics and as data sources become larger and more varied, confusion and uncertainty spread fast. Executives, managers, regulatory administrators, and other key personnel cannot rely on their reports, KPIs, and dashboards. Users cannot even find reports that the organization is producing. Instead, users spend more of their time trying to locate data and reports and correcting mistakes than they do applying data insights to solve business problems.
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Adapting Your Data Science & Data Analyst Career

The explosion of data means that data scientists and analysts need to understand how to manage big data and how to use automation tools to help deal with the data overload. What do you need to do to prepare your career for this emerging reality?
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Spotlight

Consumers expect to be served real-time recommendations customized to their needs. Retailers like Walmart, eBay, and adidas power their recommendations with a graph database and see performance thousands of times faster than with a MySQL database. Read this white paper to learn how graph-powered recommender systems can give you

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