web analytics

The Top Hadoop and Database Tools to Crunch the Big Data

Hadoop is a popular open-source distributed framework, which functions now as the center of the ever-increasing big data ecosystem. Hadoop is highly functional in terms of high-end analytics requirements as data mining, predictive analysis, machine learning, Internet of Things, etc. Hadoop manages advanced data processing and storage of various big data applications. It can also handle any form of structured or unstructured data. Here, we will discuss some of the essential Hadoop tools to crunch the Big Data needs.

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Infographic: Cloud Security For Businesses

In theory, there’s no safer place for your business’s money than a bank. However, you won’t do yourself any favors if you leave your checkbook sitting out in the open or use 1234 as your PIN. Likewise, your company’s essential data can be very secure on a cloud server, but you still need to take an active role in safeguarding it. Utilizing this technology can provide you with several advantages that can be crucial for your company’s success — as long as you take care. For instance, certain types of information probably should be handled internally for maximum security. Being smart about what you entrust to a remote server can be just as vital to its protection as the level of encryption used.

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How Big Data Analytics Creates Value in Your Smart Home Life?

The revolutionary phenomenon of the Internet of Things (IoT) has changed the face of the computer industry. With technological advances, we have all experienced wonderful changes in our daily routine, even these things have seen massive insurrections that were not even considered technologically managed. I’m talking specifically about innovation in smart home technology.

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3 Key Steps to Effectively Drive A Big Data Marketing Strategy

Marketers today understand that decisions cannot be based solely on instinct. Marketing is not just an art; it’s a combination of art and science, creativity and data. Yet the relationship between the two is complex. In recent years, the share of data has become more crucial in the marketing decision process. There are many junctions in marketing, and one of the most difficult challenges for the marketing manager has always been how to create marketing strategy.

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Creators x Patrons: YouTube Monetization via Patreon

Crowdfunding is one of the areas fintech has quietly revolutionized in the last couple of years. According to the infographic from Carsurance, this funding practice is the third-most impactful trend in the financial services industry in 2018—only next to AI-driven chatbots and P2P lending. Crowdfunding even beat blockchain technology in terms of influence in that period.

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Predictive Analytics, What is Its Interest in Business?

Anticipating, controlling and, above all, automating actions in companies are increasingly necessary needs in the professional world. Automating actions to make them more reliable and gaining productivity is a goal for many companies. Today, the terms Artificial Intelligence, Big data or predictive analytics are very often used. They represent a new sector still vague for the public.

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A Data Lake without Enterprise Architecture is A Leap into the Void

The Big Data, Data Science, Data Lake triptych has generated the hope of new business opportunities, based on better exploitation of the supposed value of the data.

This new Eldorado inspired by technologies created by the GAFA is often perceived as a purely technical solution. However, it seems necessary to address the essential contributions of enterprise architecture in the valuation and success of a Data Lake through three distinct chapters:

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The Connected Consumer: New Behaviors to Understand

Yesterday, manufacturers, wholesalers and traders led the game. Today, we have smartphone, computer, tablet, but also shows, scales, refrigerator and other everyday objects become connected. The provision of data on our environment and on our own way of life now seems natural to us and we know how to consult and exploit them. This trend is forcing distributors and other businesses to tackle traditional sales and marketing models.

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