Bullish Forecast for Hadoop Services

Despite major market inroads being made by Apache Spark, a new forecast estimates the global market for the Hadoop big data framework will continue to grow at a healthy clip through 2021, fueled in part by growing enterprise demand for Hadoop services.

According to a market forecast released this week by Allied Market Research, the Hadoop market is expected to grow at a 63.4 percent compound annual growth rate over the next five years, reaching $84.6 billion by 2021. The sustained growth is attributed in part to accelerated Hadoop adoption in Europe, where annual growth rates are expected to top 65 percent.

The sustained growth of the Hadoop market stems largely from higher rates of adoption in North America, especially in the IT, banking and government sectors as enterprise big data strategies have been rolled out.

Read More@ https://www.datanami.com/2016/08/25/bullish-forecast-hadoop-services/

Infotainment test: best in-car entertainment systems reviewed

Who makes the best in-car entertainment and sat-nav systems? Our top 10 includes verdicts on Audi, Ford and Vauxhall systems

Digital technology has transformed the way in-car entertainment and information is delivered, and for many drivers nowadays their car’s ‘infotainment’ system is as important as its performance on the road.

Infotainment upgrade takes center stage with 2017 Land Rover Discovery Sport

In the two years that have progressed since Land Rover launched the Discovery Sport line in the US (replacing the aging LR2), plenty of advancements have been made in terms of in-car technology. Thus, in updating its midsize utility vehicle for 2017, Land Rover's focused nearly entirely on technology.

Best infotainment systems - ultimate guide to in-car tech

We rate 10 of the top infotainment set-ups on the market

Around 73 per cent of British adults don’t understand how to use all of their car's features, according to research by BookMyGarage.com. That may sound like a case of ‘don’t know, don’t care’, but at the same time 54 per cent bought their particular vehicle because of the systems it offered.

So, if people are tempted by hassle-saving gadgets but can’t work out how to use them, what's the point? We teamed up with tech site Alphr.com to put the kit to the test to establish whether it's user-unfriendly or simply that owners have all the gear but no idea.

NVIDIA Extends Their Datacenter Performance Lead In Neural Network Computing at #GTC16

At NVIDIA NVDA +0.62%’s GPU Technology Conference (GTC) 2016 in San Jose, California the company announced products based on their latest GPU architecture, code-named Pascal. This conference is traditionally attended by some of the leading researchers in GPU-accelerated compute technologies and over the past few years has become increasingly focused on Deep Neural Networks (DNN). DNNs are the latest key to artificial intelligence (AI) and cognitive computing. Incredible strides have been made over the last three years in AI thanks to Graphics Processing Units (GPUs). Companies like Google GOOGL -0.20%, Microsoft MSFT -0.17%, IBM IBM -0.07%, Toyota, Baidu and others are looking at deep neural networks to help solve many of their complex analytical and data-rich problems. NVIDIA is helping these companies  to harness the power of their GPUs to accelerate the deep learning these systems need to do. Thanks to NVIDIA’s early involvement in deep neural networks research and their latest GPU hardware, the company is in the driver’s seat right now when it comes to delivering silicon to accelerate deep neural networks.

Robots That Teach Each Other

Many of the jobs humans would like robots to perform, such as packing items in warehouses, assisting bedridden patients, or aiding soldiers on the front lines, aren’t yet possible because robots still don’t recognize and easily handle common objects. People generally have no trouble folding socks or picking up water glasses, because we’ve gone through “a big data collection process” called childhood, says Stefanie Tellex, a computer science professor at Brown University. For robots to do the same types of routine tasks, they also need access to reams of data on how to grasp and manipulate objects. Where does that data come from? Typically it has come from painstaking programming. But ideally, robots could get some information from each other.

The Multi-Billion Dollar Robotics Market Is About to Boom

Here’s another sign that the robotics industry is poised to see big gains in the future.

On Wednesday, a report by International Data Corporation said worldwide spending on robotics and related services will hit $135.4 billion in 2019. The research firm said that global robotics spending in 2015 was $71 billion, and is set to grow at a compound annual growth rate of 17%.

Lumping together everything from robot software to hardware components to robot services (like robotic hotel receptionists) in its tally of robotic spending, the report’s authors explain that the total spend on robot services, business consulting, education, and training will eventually eclipse sales of the robots themselves by 2019.

“Robotics as a technology has really reached its tipping point,” said IDC Manufacturing Insights research manager John Santagate in a statement. “Robotic capabilities continue to expand while increasing investment in robot development is driving competition and helping to bring down the costs associated with robots.”

The authors said that the two fastest growing industries for robotics are healthcare and process manufacturing, which is a branch of manufacturing that involves developing products based on recipes or formulas, like sodas or drugs.

Currently, the manufacturing sector is purchasing the most robots and related services. But the report explained that the healthcare sector is expected to see a bump in robotics purchases, with spending expected to double by 2019.

Read More: http://fortune.com/2016/02/24/robotics-market-multi-billion-boom/

Encryption isn’t at stake, the FBI knows Apple already has the desired key

Apple has been served with a court order at the FBI's request, demanding that it assist the government agency with unlocking an iPhone 5C that was used by Syed Rizwan Farook. Farook and his wife, Tashfeen Malik, killed 14 and injured 24 in an attack in San Bernardino, California on December 2, 2015.

The hidden costs of NoSQL

The NoSQL industry was developed quickly on the promise of schema-free design, infinitely scalable clusters and breakthrough performance. But there are hidden costs, including the added complexity of an endless choice of datastores (now numbering 225), the realization that analytics without SQL is painful, high query latencies require you to pre-compute results, and the inefficient use of hardware leads to server sprawl.

All of these costs add up to a picture far less rosy than initially presented. However, the data model for NoSQL does make sense for certain workloads, across key-value and document data types. Fortunately, those are now incorporated into multi-mode and multi-model databases representing a simplified and consolidated approach to data management.

Let’s take a closer look at the impetus for the NoSQL movement and the true impact of abandoning SQL.

Dawn and decline of the NoSQL movement

The popularity of NoSQL grew from the need to scale beyond what traditional disk-based relational databases could handle, and because high performance solutions from large database companies get very expensive very quickly. Coupled with data growth, developers needed a better way for the growing use of simple data structures like users and profile information associated with mobile applications. NoSQL promised an easy path to performance.

Another explanation for NoSQL popularity comes from the perception that SQL can be hard to learn. But Michael Stahnke, director of engineering at Puppet Labs, claims that is an early, and invalid argument, noting that, “instead you must learn one query language for each tool you use.”

Read More: http://www.networkworld.com/article/3019122/tech-primers/the-hidden-costs-of-nosql.html

Hardware Encryption Market Expected to Reach $296.4bn by 2020

A new report by Allied Market Research forecasts that the world hardware encryption market is to show a CAGR of 54.6% from 2010- 2020 and be worth just over $296 billion.

The World Hardware Encryption—Market Opportunities and Forecasts, 2014–2020 report proposes that hardware encryption is considered as the most effective form of data protection against unauthorized access, aligning with the actions of various governments across the globe who are coming out with stringent regulations pertaining to data protection. This is seen as a key development that further supplements the demand of hardware encryption as a key data security technology.

The hard disk drives (HDD) segment was found to be the highest revenue generating segment, constituting 57% of the total market revenue in 2014 and is expected to maintain its dominance throughout the analysis period. The segment of encrypted USB flash drives is forecast to grow significantly and register highest CAGR of 58.8% during the forecast period. The increasing demands of robust memory storage devices that are highly compact, offer maximum storage and render better security of data are key factors, which would drive the growth of this segment.

Looking at regions and vertical industries, Asia-Pacific was revealed to be the largest revenue generating region for hardware encryption, followed by North America and Europe, as is set to be the highest revenue generating region, constituting nearly 33.5% of the total market revenue. The region is also likely to registering a CAGR of 56.9% during the forecast period, supplemented by factors such as strong economic growth, development in enterprise IT infrastructure and the large scale outsourcing of BPO operations to China, India and Malaysia.


Read More: http://www.infosecurity-magazine.com/news/hardware-encryption-2020/