Big data’s big ideas – O’Reilly Radar

Looking back at the evolution of our Strata events, and the data space in general, we marvel at the impressive data applications and tools now being employed by companies in many industries. Data is having an impact on business models and profitability. It’s hard to find a non-trivial application that doesn’t use data in a significant manner. Companies who use data and analytics to drive decision-making continue to outperform their peers.

Up until recently, access to big data tools and techniques required significant expertise. But tools have improved and communities have formed to share best practices. We’re particularly excited about solutions that target new data sets and data types. In an era when the requisite data skill sets cut across traditional disciplines, companies have also started to emphasize the importance of processes, culture, and people.

As we look into the future, here are the main topics that guide our current thinking about the data landscape.

Source: radar.oreilly.com

By Ben Lorica. An look forward to the #data landscape in 2015

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What’s Missing from the Industrial Internet of Things Conversation? Software

These days, you can hardly have a technology conversation without talking about the Internet of Things (IoT). And when that conversation shifts its focus to the industrial sector, including energy, Oil & Gas, Power & Utilities, and petrochemicals, among others, the discussion changes to what is being called the “Industrial Internet of Things” (IIoT). 

Source: www.wired.com

By Matt Cicciari, For a succesful #IoT, software is needed.

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Data Scientists are Changing the Face of Business Intelligence

Humans are walking data centers and our interactions and behaviors, no matter how minuscule, are building a near infinite pool of aggregate data over the course of our lifetime.

 

Source: thenextweb.com

Perhaps one of the main reasons that #data #scientists are in such high demand is that they require an incredibly diverse skill set, which can sometimes be hard to find in people.

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Europe’s Big Data Market

The European Commission is working hard on developing a competitive European Big Data market. Last week, as a result of this, the European Digital Forum convened the High-Level Roundtable on Europe’s Digital Future. Here’s my vision of how Europe can enable forward-looking, data-driven startups to unleash the vast potential of data.

Source: smartdatacollective.com

Challenges Europe faces in becoming a competitive #Bigdata market. By Mark van Rijmeman.

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5 big data implementation mistakes to avoid

In recent years, few terms have been as overused and misunderstood as “big data.” From making predictions about massive flu outbreaks with a Google flu trends solution, to tracking shopping trends and directing savings to customers, to making real-time trading decisions that impact companies’ and individuals’ bottom line positions — data has become the key to staying competitive in today’s global economy. To understand the industry meaning of big data, and why big data has gotten so much attention, we need to break down the aspects of the database industry that have led to some of the challenges we face when managing and analyzing data today.

Source: venturebeat.com

By Jon Bakke, MarkLogic. #BigData mistakes

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10 Tough Truths About Leadership

Here on the Forbes leadership team, we get piles of books on the subject of leadership and self-improvement: A few examples from the last week or so:How to be Exceptional, The 5 Elements of Effective Thinking, Say It Like Obama and Win!, Leading Apple With Steve Jobs. It would be more than a full-time job to read and review each one.

So it felt like a relief when a pocket-sized volume, just 6” by 4” and 101 pages, arrived, professing to offer leadership wisdom in a condensed format. Tough Truths: The Ten Leadership Lessons We Don’t Talk About, by San Diego consultant Deirdre Maloney, is short, direct, easy to read and thought-provoking.

Of course, ultimately every great leader is different. Any book claiming that all leaders have even ten characteristics in common is inevitably flawed.  But Maloney’s points are worth considering, and she illustrates them succinctly, embellished by experiences from her own life. The earlier lessons in the book are the most solid and distinctive. Here is a summary of Maloney’s truths, with a bit of critique.

Source: www.forbes.com

Susan Adams reviews Though Thruths about #Leadership

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Wie gaat het Internet of Things betalen? • Numrush

Elke organisatie, of het nou een bedrijf of een overheidsinstelling is, moet nadenken over een digitale strategie. Hoe gaan de bedrijfsprocessen eruit zien? Hoe bedienen we de klant? “Er is een enorme vraag in de markt naar digitale dienstverlening en mobiliteit en de explosie van verbonden apparaten dwingt organisaties om een antwoord te formuleren op de vraag hoe ze met deze ontwikkelingen omgaan.

Source: numrush.nl

Maar wie gaat dat allemaal betalen?

Door @Numrush #IoT

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