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Big data analytics

Discover Pinterest’s 10 best ideas and inspiration for Big data analytics. Get inspired and try out new things.
Real-time big data analytics architecture

Our big data consultants have come up with an easy guide to real-time big data analytics. We explain the term and describe a typical architecture, as well as share our thoughts about whether real-time analytics can be a competitive advantage.

Top 10 Big Data Jobs

We take a look at five things you need to know about Big Data.

Top 12 interesting careers to explore in #BigData: #data scientist machine learning engineer analytics manager statistician... https://t.co/GAJqpzPuzB

Top 12 interesting careers to explore in #BigData: #data scientist machine learning engineer analytics manager statistician... https://t.co/GAJqpzPuzB

What Is Big Data Analytics And Why do I Need It For My Business?

Learn about What is Big Data Analytics? Which Top 10 sectors use Big Data? and 8 ways of applying Data Science to your Business

How to Build a Scalable Data Analytics Pipeline

Every application generates data, but what do those data mean? This is a question all data scientists are hired to answer. There is no doubt that this information is the most precious commodity for a business. But making sense of data, creating insights and turning them into decisions, is even more important. As the data keep growing in volume, the data analytics pipelines have to be scalable to adapt the rate of change. And for this reason, choosing to set up the pipeline in the cloud makes

Are you confused between Big Data, Data Science, and Data Analytics? Here's the comparison to differentiate - Data Science vs Big Data vs Data Analytics

Are you confused between Big Data, Data Science, and Data Analytics? Here's the comparison to differentiate - Data Science vs Big Data vs Data Analytics

How is the current state of Big Data Analytics in Controlling?

The interest in using data leads to an increasing trend of adopting big data analytics to improve the decision-making process. Big data analytics is defined as “where advanced analytic techniques…

Check out our latest Infographic, in which we've highlighted 5 Data Science online courses we really thing you should check out! Feel free to share and let us know what you think! Who am I?I am a Microsoft Excel expert who specializes in Data Analysis. I currently work as a Project Controls Engineer with 9+ years experience working with a Multinational Oil and Gas company. I am fluent in English Language so communication with me will be impeccable.What can I do?- Create Dashboards with Mi

Check out our latest Infographic, in which we've highlighted 5 Data Science online courses we really thing you should check out! Feel free to share and let us know what you think! Who am I?I am a Microsoft Excel expert who specializes in Data Analysis. I currently work as a Project Controls Engineer with 9+ years experience working with a Multinational Oil and Gas company. I am fluent in English Language so communication with me will be impeccable.What can I do?- Create Dashboards with Mi

Data Lake vs Data Swamp

Anyone who has been looking at big data for any length of time is likely already overexposed to the “data lake vs. data swamp” analogy. The analogy assumes that a “lake” is somehow neater and more orderly than a “swamp.” But the only reason a lake appears to be

Watch popular Big data analytics videos

The role of Big data analytics in Energy & Utilities
Watch this preview video of our new blog that talks about the need of #bigdata testing for #digital #customerexperience.
Seja bem vindo ao quartinho da Lara! Esse vídeo é um convite ao nosso mundo como arquitetos e/ou designers de interiores quando criamos um ambiente tão especial e lúdico como esse quartinho: nos imaginamos no mundinho dos nossos clientes, pensando em cada detalhe, cada brincadeira, cada cantinho com muito amor! Entre no quarto, pendure a mochila, brinque com os livros, brinquedos, lousa, balanço... Vem ver!
The #DataCenter #CoolingSystem Market Report published this month covers the #Data #Center #Cooling Market. The increasing adoption of data-intensive applications such as big data analytics, machine learning, and deep learning coupled with the use of cloud computing. This has eventually led to the adoption of data center cooling solutions to overcome heat dissipation from servers, keeping the facilities and CPUs below their maximum temperatures.