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A data engineer helps design, build and manage the networks and software – also known as pipelines – that keep big data flowing in an organization. Data engineers often work closely with data architects. Together they find the best content management system (CMS) for a company’s needs and integrate the CMS into the company’s existing data architecture. […]
Data Scientist at LinkedIn Reveals the Largest Career Opportunities through 2018 According to Nightly Business Report by CNBC, there will a shortage of 200,000 workers by 2018. By mining the data at LinkedIn, Mary is able to uncover the biggest employment opportunities in the years to come. Solving Problems and Making Life Easier Through Computer Science […]
Data architects are the blueprint designers of content management systems (CMS) and sometimes also the developers and managers. A CMS stores and organizes vast amounts of data. Because data may come from many sources, data architects are responsible for linking these data sources and determining the best way to make the data accessible so users can […]
Does it ever feel like ads are following you? Whether its the pair of shoes you were looking at a week ago, or the television you thought about buying, they just seem to keep popping up on your social media and other webpages that seem unrelated. I’m sure you think to yourself that it must […]
What does it take to become a data science superstar? Meet six industry leaders who are revolutionizing the field of data science. From Silicon Valley to the corridors of Washington, D.C. – here’s a look at what makes these leaders stand out. Yann LeCun, Director of AI Research at Facebook Yann LeCun is the director of AI […]
What Is a Data Scientist? Data scientists are the world’s data wranglers. Using multidisciplinary skills in computer programming, statistics and math, data scientists sort through vast amounts of raw data to extract insights that can be used to develop new products, increase customer satisfaction and forecast important trends. Data science isn’t just for big business either. Organizations all over […]
Many new terms have been invented to explain the new age of data, with business intelligence (BI) and data science being among the most popular. They are also often confused with one other. So what exactly is BI, what is data science — and what’s the difference? It all starts with data Or more specifically, big data. This […]
Google, Facebook, Amazon and many other big corporations and institutions collect massive amounts of data when consumers engage with social media, participate in e-commerce or rely on other web-based services. This so-called big data is mined by data scientists, who help companies extract knowledge and insights to gain a competitive advantage. Data scientists topped Forbes’ […]
Demand is growing for professionals who are not just data-savvy, but have mastered the tools and techniques needed to glean knowledge and insights from large and diverse datasets. It’s called data science, and in the last couple of years it’s become one of the top-ranking jobs in the United States. What is data science? We live in […]
Statisticians provide algorithmic muscle for the machine learning engineer and data scientist’s products. Like most of the careers that are branches of statistics, they are likely to be engaged in extensive data analysis and interpretation, but their work tends to lean more to the mathematical rather than towards software or product development. They are frequently […]
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