Big Data - let your data grow
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Big Data - let your data grow
Big Data, Business Intelligence
Curated by Christin
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Big data jobs: Recruiters prize software dev skills over BI experience

Big data jobs: Recruiters prize software dev skills over BI experience | Big Data - let your data grow | Scoop.it
Despite the conflicting opinions that businesses hiring for data scientist and big-data roles seem to harbour, they do agree on the importance of software development skills.
Christin's insight:

Are you software developer looking for Big Data job? Good for you.

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DATAMOLINO handles invoices automatically

DATAMOLINO handles invoices automatically | Big Data - let your data grow | Scoop.it

We are proud to announce that the article about Datamolino in the technology section of the largest slovak newspaper SME has been the most read article for the past 7 days. For the readers of SME, Datamolino was more interesting than the new iPhone.

Christin's insight:

Companies spent about 10 Euro for processing one invoice. This cost can be reduced with datamolino service. 

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How to Get Started in Data Science

How to Get Started in Data Science | Big Data - let your data grow | Scoop.it

A lot of people ask me: how do I become a data scientist? I think the short answer is: as with any technical role, it isn’t necessarily easy or quick, but if you’re smart, committed and willing to invest in learning and experimentation, then of course you can do it.

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RDBMS vs. NoSQL: How do you pick?

RDBMS vs. NoSQL: How do you pick? | Big Data - let your data grow | Scoop.it

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should consider a newer, alternative database when RDBMSs have been around for 20+ years. However, many leading enterprises are already using alternative databases and are saving money, innovating more quickly, and completing projects they could not pursue before as a result. Let’s discuss how one can determine if NoSQL is a fit for current or future applications.

Christin's insight:

Some Big Data and noSQL insights in context of big companies, which run RDBMS for decades 

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Companies Who Have Moved to the Cloud

Companies Who Have Moved to the Cloud | Big Data - let your data grow | Scoop.it

Despite the naysayers, the majority of companies have started to look to cloud computing for part or all of their IT solutions. However, cloud computing really should extend beyond the IT department. Industry leaders have demonstrated how the cloud can spur innovation, expand a business into a new product line or provide business insights through big data analytics. The following seven companies have taken cloud computing by storm and show us that we should expand our thinking of just how valuable the cloud can be.

Christin's insight:

Many of mentioned companies are strongly web oriented -Pinterest, Instagram, Apple, MediaMath. Move to cloude it really not surprising. What about some banks or telecomunication operators?

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Are these the best startups and biggest trends in big data? You decide

Are these the best startups and biggest trends in big data? You decide | Big Data - let your data grow | Scoop.it

Veteran entrepreneur, investor and founding Vertica Systems CEO Andy Palmer has some thoughts about the most-important trends and promising startups in the data space. Here’s what he had to say during our Structure Show podcast this week.

Tomáš Kuzár's insight:

Useful post which mentiones some important trends and companies directions like Data integration/curation, Analytics, Visualization and Database as a service



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Data Presenter

Data Presenter | Big Data - let your data grow | Scoop.it

It’s tempting to lock our minds and bodies into our comfortable air-conditioned cubicles and churn numbers and crunch data all day long, and then lob it over the cubicle or office walls for our boss or peers to review, without worrying about outcomes, or the possible interpretations.

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LinkedIn University Pages are a case study in building big data apps the right way

LinkedIn University Pages are a case study in building big data apps the right way | Big Data - let your data grow | Scoop.it

LinkedIn’s new University Pages are a case study in how to build a big data application. Ideas are great and pretty web design are great, but you also need people who can find and format the data, the the systems in place to make everything work.

Tomáš Kuzár's insight:

The point is that there’s a right way to build “big data” applications, and web companies seem to understand this better than most. You see similar strategies in place at Netflix, Facebook, Google and elsewhere. They’ve built virtuous circles where infrastructure systems, data scientists, web developers and product managers all enable each other to do their jobs better. If one piece is weak, everyone suffers. And most importantly, the product suffers.

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How Your Company Can Utilize Big Data Analytics

How Your Company Can Utilize Big Data Analytics | Big Data - let your data grow | Scoop.it

A by-product of the Information Age is a myriad of unstructured data created by companies aptly termed by data managers as “big data.” The sheer volume of the data makes managing it very costly, and it is difficult to derive any use from this data without the right technological tools. However, there are analytical tools available that allow companies to identify and investigate important patterns within their big data that may help bolster their customer service offerings.


Via Luca Naso
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Luca Naso's curator insight, August 2, 2013 12:11 PM

If Big Data is a gold mine, one should try to identify the veins of gold and start extracting.

Here are some suggestion about where these gold veins could be:

1. Social Media Data

2. Publicly Available Internet Data

3. Network Packet Data

4. Archived Documents

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Why Hadoop projects fail -- and how to make yours a success

Why Hadoop projects fail -- and how to make yours a success | Big Data - let your data grow | Scoop.it

Without doubt, “big data” is the hottest topic in enterprise IT since cloud computing came to prominence five years ago. And the most concrete technology behind the big data trend is Hadoop. Most enterprises are at least experimenting with Hadoop, and the potential for transformative business improvement is real. But just as real is the chance of what I call a “Hadoop hangover” if the project fails to meet expectations and instead results in costly failure.

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A real-time bonanza: Facebook's Wormhole and Yahoo's streaming Hadoop

A real-time bonanza: Facebook's Wormhole and Yahoo's streaming Hadoop | Big Data - let your data grow | Scoop.it

This week, both Facebook and Yahoo detailed new efforts to manage real-time data flows within their myriad systems. Yahoo’s work is an open source implementation of Storm designed to run on the same cluster as Hadoop and even share resources. If you’re into systems that can share data among each other in real time, this has been a good week. On Tuesday, Yahoo open sourced its version of the popular Storm stream-processing software that’s able to run inside Hadoop clusters. Then, on Thursday, Facebook detailed a system called Wormhole that informs the platform’s myriad applications when changes have occurred in another, so that each one is working from the newest data possible.

Tomáš Kuzár's insight:

With Kafka, Wormhole, Databus or similar technologies, ETL tasks will able to transfer huge amount of data. In many cases, the tools are open source - nice.

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Ex-Yahoo CTO launches Altiscale, hardcore Hadoop as a service

Ex-Yahoo CTO launches Altiscale, hardcore Hadoop as a service | Big Data - let your data grow | Scoop.it

Raymie Stata spent seven years working on the guts of Hadoop as a VP, chief architect and CTO at Yahoo. His new Hadoop startup, called Altiscale, has raised a $12 million from some prominent investors. Raymie Stata knows a lot about Hadoop. It was Stata who helped bring Hadoop creator Doug Cutting to Yahoo in 2006, and as during a seven-year stint as chief architect and then CTO at Yahoo, Stata was instrumental in helping position Hadoopas the technology famously “behind every click” at the web portal. Now, Stata is trying his hand at the Hadoop startup game, launching a new startup called Altiscale that recently closed a $12 million Series A round from Sequoia Capital and General Catalyst Partners, as well as Accel Partners, Jerry Yang’s AME Ventures and a few individual investors.

Tomáš Kuzár's insight:

Former employees of Yahoo, Google, Linkedin are working on Hadoop as a service platform for experienced users. Big Data will not solve all the problems, but mature infrastructure and tools will be helpfull in case of real Big Data projects.

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Alternative to In-Memory Analytics Relies on Column-Based Data Stores

Alternative to In-Memory Analytics Relies on Column-Based Data Stores | Big Data - let your data grow | Scoop.it

SAP HANA, Cloudera’s Impala and ScaleOut Software’s hServer are all in-memory, high-speed alternatives to slowly transferring static data from disk-based storage systems to Hadoop Distributed File Server (HDFS). And research firm Gartner reports that while 10 percent of large and medium-sized organizations adopted in-memory computing in some capacity last year, by 2015, that figure will rise to a whopping 35 percent.

Tomáš Kuzár's insight:

Authors are stating that SiSense’s Prism is cheaper alternative to SAP Hana or other in-momery technologies. Maybe it is worh to try. Unfortunatelly, prices are not available directly on the web.

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MongoDB lands $150 million; Aims for big data, NoSQL staying power

MongoDB lands $150 million; Aims for big data, NoSQL staying power | Big Data - let your data grow | Scoop.it
MongoDB, a play on big data, said it will use the additional funding---the largest round for any database vendor---to invest in the MongoDB project and its management suite.
Christin's insight:

MongoDB is growing and growing. Good to hear that ...

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Notice to startups: You are doing data science wrong

Notice to startups: You are doing data science wrong | Big Data - let your data grow | Scoop.it

When we think about data science, we think of a mythical laboratory where scientists are feverishly crunching numbers to provide a clear quantitative view of the future. We’ve been sold on the idea that these transformative findings will unlock increased performance numbers. Large companies hire teams of academics to sift through their massive repositories of data, believing in data science as it is currently described: academics doing glorified business intelligence.

Christin's insight:

There is so much buzz around Big Data ..  This acticle is unhiding the myth that for data related projects data scientists with PhDs are required. In reality software engineers with passion for data and entrepreneurial instincts are much more valuable in this field.

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The Internet of Things - comming soon

The Internet of Things - comming soon | Big Data - let your data grow | Scoop.it
Devices connected to the internet — everything from coffee makers to toys — are going to become awidespread consumer phenomenon sooner than you expect, even though Europeans and Americans for now regard the technology in different ways.
Christin's insight:

Predictions of 60 billion connected devices worldwide by the end of the decade are not optimistic, but are likely too low.

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What happens when media & big data collide?

What happens when media & big data collide? | Big Data - let your data grow | Scoop.it

If there was a PR utopia, it would look something like this: Businesses would send journalists timely, interesting stories. Journalists would receive an ongoing supply of quality information. Readers, in turn, would grow enthusiastic about brands, turning media coverage into a conduit for sales and investor interest.


Christin's insight:

I can only agree: "Good ideas + good data = a win-win for companies and reporters."


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DataSift now grabbing Tumblr data, as well

DataSift, one of the two companies (along with Gnip) granted real-time access to the Twitter firehose, now offers real-time and historical analysis of Tumblr data.
Christin's insight:

This service seems to be useful, but I would consider pricing mode as challenging for smaller companies.

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Buildzoom uses big data to prevent home renovation nightmares (exclusive)

Buildzoom uses big data to prevent home renovation nightmares (exclusive) | Big Data - let your data grow | Scoop.it

Home renovation has been known to cause nightmares and meltdowns and break up marriages. It can be an excessively stressful and complicated process, which is where Buildzoom steps in. Buildzoom bills itself as a “one-stop shop” for building, remodeling, or building a house. The startup has spent the last several months pulling together information from millions of permitting records to give consumers more detailed insights on contractors.

Tomáš Kuzár's insight:

There are plenty of examples how data can be used. Home renovation is also a good one. 

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Tomáš Kuzár's comment, September 15, 2013 2:29 PM
Interesting and useful
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Jaspersoft BI runs on Windows Azure

Jaspersoft BI runs on Windows Azure | Big Data - let your data grow | Scoop.it

Jaspersoft's BI stack has been all over the cloud.  It runs on Amazon's EC2 platform, and can connect to Amazon's RedShift data warehouse.  Jaspersoft's Community edition also runs on GoGrid, Red Hat's cloud, and Pivotal Cloud Foundry.  But today Jaspersoft is announcing a different cloud partnership, as it says it is the first open source BI stack to be officially supported on Microsoft's Windows Azure cloud platform.

Tomáš Kuzár's insight:

Windows Azure leaves Jaspersoft, arguably, as the more developer-friendly BI option and, in any case, the one that can be put into production right away.

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New Tweets per second record, and how

New Tweets per second record, and how | Big Data - let your data grow | Scoop.it

Recently, something remarkable happened on Twitter: On Saturday, August 3 in Japan, people watched an airing of Castle in the Sky, and at one moment they took to Twitter so much that we hit a one-second peak of 143,199 Tweets per second. (August 2 at 7:21:50 PDT; August 3 at 11:21:50 JST)

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Bayesian Methods for Hackers

Bayesian Methods for Hackers | Big Data - let your data grow | Scoop.it

Bayesian Methods for Hackers is designed as a introduction to Bayesian inference from a computational/understanding-first, and mathematics-second, point of view. Of course as an introductory book, we can only leave it at that: an introductory book. For the mathematically trained, they may cure the curiosity this text generates with other texts designed with mathematical analysis in mind. For the enthusiast with less mathematical-background, or one who is not interested in the mathematics but simply the practice of Bayesian methods, this text should be sufficient and entertaining.

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luiy's curator insight, June 14, 2013 5:08 AM

bayesian methods for hackers and data scientist.

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People Analytics: How to Ethically Use Social Sensors to Track Workers

People Analytics: How to Ethically Use Social Sensors to Track Workers | Big Data - let your data grow | Scoop.it

Sociometric sensors can help people collaborate more, but author Ben Waber writes that companies using them should follow privacy and ethics policies. Sensing data can be a major threat to privacy. Whether the data is from cellphones or web browsing histories, the potential abuse of this massive trove of data is an important concern. At the same time, awareness of this issue is alarmingly low, which means that people often don’t understand the power of the data that they make available.

Tomáš Kuzár's insight:

Data analysis can make our world better place to live, but there are some prerequisites: 

1. Data collection is opt-in and uses informed consent

2. Individuals control their own data

3. Any data sent to third parties must be aggregated

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Business Intelligence Maturity | SmartData Collective

Business Intelligence Maturity | SmartData Collective | Big Data - let your data grow | Scoop.it

Business intelligence processes come in many different shapes in the modern enterprise world. Companies have a choice regarding whether they want to delve into big data, deploy dashboards on mobile devices, or put self-service BI tools in the hands of every single employee. This means there are an endless assortment of approaches they can take to suit various industries and unique situations. If a firm needs to address a certain type of problem, it can get the answers it needs with the current generation of tools. According to some, however, leaders have not become comfortable setting up their analytics projects.

Tomáš Kuzár's insight:

Is seems that Big Data is currently only right direction. In reality, is it not so simple, successful Business Intelligence toolset in the company, needs to be well planned, adjusted and maintained - and in some cases Big Data is a must, but in most cases not.

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Big Data & Public Relations

Big Data & Public Relations | Big Data - let your data grow | Scoop.it
According to Wikipedia, Public Relations is the practice of managing the spread of information between an individual or an organization and the public. As all of that information is data, it can be analysed and used to improve the PR activities performed by organizations. Enter the world of big data, and that information can be turned into valuable insights. 
Tomáš Kuzár's insight:

Author focus on Big Data as help for PR. I would remove word Big from the article, then the article says lot about usage of data for improving PR activities.

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