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The Impact of Big Data on the Legal Industry

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The Impact of Big Data on the Legal Industry

The importance of big data is soaring. Each day, the profound impact of data analytics can be felt across myriad domains of digital services – courtesy an endless stream of information they generate. Yet, a handful number of people actually ponders over how big data is influencing society’s some of the most important professions, including legal. In this blog, we are going to dig into how big data is impacting the legal profession and transforming the dreary judiciary landscape across the globe.

Importance of Big Data

Information is challenging our legal frameworks. Though technology has transformed lives 360-degree, most of the country’s bigwigs and institutions are still clueless about how to harness the power of big data technology and reap significant benefits. The men in power remain baffled about the role of data. The information age is frantic and the recent court cases highlight that the Supreme Court is facing a tough time taming the big data.

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However, on a positive note, they have identified the reason of slowdown and are joining the bandwagon to upgrade their digital skills and upend tech modernization strategies. Data analytics is a growing area of relevance and it must be leveraged by the nation’s biggest legal authorities and departments. From tracking employee behaviors to scanning through case histories, big data is being employed everywhere. In fact, criminal defense lawyers are of the opinion that big data is altering their courtroom approaches, which have always dominated the trials with a set of certain evidence. Today, the pieces of evidences have become digital than judicial.

Boon for Law Enforcement Officials

The technology of big data has proved to be a welcoming-change for the army of law enforcement officials; the reason being efficiency in prosecuting a large number of criminals in a jiffy. Officials can now scan through piles and piles of data at a super-fast pace and handpick scam artists, hackers and delinquents. Besides law enforcers, police officers are also identifying threats and rounding up criminals before they even plan to get way.

Moreover, the prosecutors are leveraging droves of data to summon up evidence to support their legal arguments in court. That’s helping them win cases! For example, of late, federal prosecutors served a warrant to Microsoft to gain access to their data pool. It was essential for their case.

Big Data Transforming Legal Research

Biggest of all, big data is transforming the intricacies of the legal profession by altering the ways how scholars research and analyze the court proceedings. For example, big data is used to study the Supreme Court’s arguments and we have discovered that arguments are becoming more and more peculiar in their own ways.

Such research tactics will largely lead the show as big data technology tends to become cheaper and more widely popular across the market. In the near future, big data is going to be applied in a plethora of industry verticals and we are quite excited to witness impactful results.

As a matter of fact, you don’t have to wait long to see how big data changes the legal landscape. In this flourishing age of round-the-clock information exchange, the change will take no time.

Now, if you are interested in Big Data Hadoop certification in Delhi, we’ve good news rolling your way. DexLab Analytics provides state-of-the-art big data courses – crafted by industry experts. For more, reach us at <www.dexlabanalytics.com>

 
The blog has been sourced from —  e27.co/how-big-data-is-impacting-the-legal-world-20190408
 

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Transforming Construction Industry With Big Data Analytics

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Transforming Construction Industry With Big Data Analytics

Big Data is reaping benefits in the construction industry, especially across four domains – decision-making, risk reduction, budgeting and tracking and management. Interestingly, construction projects involve a lot of data. Prior to big data, the data was mostly siloed, unstructured and gathered on paper.

However, today, the companies are better equipped to utilize the power of big data and employ it in a better way. They can now easily capture data with the help of numerous high-end devices and transform the processes. In a nutshell, the result of implementing big data analytics is positive and everybody involved is enjoying the benefits – namely improved decision-making, higher productivity, better jobsite safety and minimum risks.

Moreover, using the previous data, construction companies now can predict future outcomes and focus on projects that are expected to be successful. All this makes big data the most trending tool of the construction industry and for all the right reasons. The sole challenge is, however, how businesses adopt these robust changes.

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Reduce Costs via Optimization

To stay relevant and maintain a competitive edge, continuous optimization of numerous processes is important. Big data lends a helping hand to ensure the efficacy of such processes by keeping a track of all the processes from first to the very last step – making them quick and productive. With big data technology, companies can easily understand the areas where improvements are required and devise the best strategy.

Needless to say, the primary focus of optimization is to reduce costs and unnecessary downtime. Big Data is by far tackling this concern well.

Worker’s Productivity is Important

Generally, when we discuss productivity in the construction industry, it mostly concerns technology and machines – leaving behind a crucial factor, humans. Big data takes into account each worker’s productivity. It is no big deal to track their work progress. In fact, it will help increase their productivity and boost efficiency.

Furthermore, when a lot of data is at hand, companies can even analyze how their workers are interacting to discover ways to enhance their efficiency levels by replacing tools and technologies.

The Role of Data Sharing

The construction industry is brimming with data. There is so much data here that it needs another capable organization to handle such vast piles of information. Among other things, companies need to share information with their stakeholders. They also need to strategize this data for better accessibility.

Ultimately, the main task of these companies is to eliminate data silos if they really want to savor the potentials of this powerful technology to the fullest. Till date, they have been successful.

In a nutshell, we can say that big data is positively impacting the whole construction industry and is more likely to expand its horizons in the next few years. However, the companies need to learn how to imbibe this cutting edge technology to enjoy its enormous benefits and sail towards the tides of success – because big data is here to stay for long!

DexLab Analytics is a phenomenal Big Data Hadoop institute in Delhi NCR that is well-known for its in-demand skill training courses. If you are thinking of getting your hands on Hadoop certification in Delhi, this is the place to go. For more details, drop by our website.



The blog has been sourced from —  www.analyticsinsight.net/how-big-data-is-changing-construction-industry

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Enhancing Food Safety with IoT and Big Data Analytics: Here’s how

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Enhancing Food Safety with IoT and Big Data Analytics: Here’s how

We’ve all gone through it – sudden publicity regarding a particular food item being ‘’unsafe and hazardous’’ that sends us rummaging through our kitchen to discard those products. But in this age where everything goes through multiple inspections, how do these errors happen?

The truth is tracking the source of contaminated food and isolating compromised items isn’t all that efficient. This is where big data analytics and IoT can play game-changing roles. These two revolutionary techs have disrupted many industries for good, and promise to positively transform the food sector too.

 IoT for Tracing Shipments

IoT in the form of RFID tags and barcodes are popularly used in the food industry to track shipped food products from source till destination, ensuring retailers acquire the ordered products safely and fulfill consumer demand. However, recently advanced IoT sensors are being used to obtain more detailed information about food products being transported all over the world. These sensors can greatly enhance food safety – they have the capability of identifying minute dust particles and keeping track of environmental conditions like temperature. For example, these sensors can be used for monitoring temperature of frozen chicken being shipped between China and U.S., as above-freezing temperatures will jeopardize their safety. Some sensors even relay data in real-time, making sure optimal conditions affirmed by safety guidelines are always maintained.

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IoT Helping Investigations

Human investigators aren’t always capable of detecting the source of contamination following the discovery of fouled food items. It isn’t humanly possible to locate all the touch points in our modern and highly complex food processes. But IoT technology, with its superior tracking and supervising capabilities, can assist these investigations by spotting the exact point where the contamination occurred.

Addition of Big Data

A side benefit of IoT is the addition of a great deal of data that lay unused in cyberspace. Once all this data is assembled and analyzed, it will help track failure points, identify patterns in food-safety failures and even predict the conditions that cause food spoilage in future.

Assistance for Cultivators

Using big data related to weather and analyzing historical patterns, many tech companies are recognizing potential natural disasters beforehand. This can hugely benefit crop producers. For example, certain environmental conditions can boost the growth of unwanted pests that makes the produce unsafe for consumption. This information can help take necessary preventive measures.

Genetic Indexing

With the help of big data, correlation between bacteria RNA and DNA can be identified, resulting in genetic indexing for particular foods. Firstly, with the help of this information, food inspectors can spot harmful bacteria in food items. After this, IoT can be employed to track down the source. Once the starting point has been identified, more data can be obtained from there about the conditions that foster bacterial growth, allowing such circumstances to be avoided in future.

Improving Storage Safety with IoT and Big Data

Infestation with rats and other unwanted animals is a common problem in food storage facilities. But real-time data coming from IoT sensors combined with historical data on infestations now enables storage units to improve their conditions and protect the environment from such infestations.

Together IoT and Big Data can Promote Better Collaboration

According to WHO estimates, food-borne illnesses affect approximately 600 million people worldwide, out of them around 420,000 people pass away. To improve this condition, everyone working in the food industry must work collaboratively. And the ability of access big data and take help of an advanced technology like IoT will greatly assist this collaboration.

Every industry is going through an overhaul because of big data. In today’s world, big data education offers great power to all professionals. That’s why you must consider the top-grade big data courses in Delhi. Practical-based courses are delivered by industry experts and each student is given individual attention based on his/her level – this is what makes DexLab Analytics a leading Big Data Hadoop institute in Delhi NCR.

 

Reference: www.forbes.com/sites/andrewarnold/2019/02/20/how-iot-and-big-data-analytics-can-make-our-food-safer/#785e1d3d1d45

 

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DexLab Analytics’ AUGUST OFFER: Everything You Need to Know Of

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DexLab Analytics’ AUGUST OFFER: Everything You Need to Know Of

We are happy to announce that we’re rolling some good news your way – DexLab Analytics is all set to launch exhaustive modules in Deep Learning with AI starting with Artificial Neural Networks using Python, MS Excel, Dashboards, VBA Macros, Tableau BI, Visualization and Python Spark for Big Data from September 1, 2018. The course modules are on in-demand skills and they are taking the world quite by a storm.

DexLab Analytics’ AUGUST OFFER

Big data, data science and artificial intelligence are buzz words these days. More and more people are coming forward and showing keen interest on these nuanced notions that solves real-world problems. This is why we didn’t want to fall behind. We understand the importance of data in this digitized world, and accordingly have chalked out our intensive industry-ready courses.

Deep Learning and AI starting with Artificial Neural Networks using Python course module is a 30-hour long training program that gives exposure to MLP, CNN, RNN, LSTM, Theano, TensorFlow and Keras. It includes more than 8 projects out of which a couple of focuses on development of models in to Image and Text recognition. MS Excel, Dashboards and VBA Macros certification is curated by the expert consultants after combining industry expertise with academician’s knowledge. The course duration is in total of 24 hours and is conducted by seasoned professionals with more than 8 years of industry experience specific to this budding field of science.

DexLab Analytics’ August Offer is On Machine Learning & AI

DexLab Analytics’ August Offer is On Machine Learning & AI

Next, we have30-hour hands-on classroom training on Tableau BI & Visualization certification, which teaches young minds how graphical representation of data unlocks company future trends and take quicker decisions. Tableau is one of the fastest evolving BI and data visualization tool. With that in mind, we offer a learning path to all you students by framing a structured approach coupled with easy learning methodology and course curriculum.  

DexLab Analytics Offers MS Excel, Dashboards and VBA Macros Certification!

DexLab Analytics Offers MS Excel, Dashboards and VBA Macros Certification!

Lastly, our Big Data with PySpark certification is another gem in the learner’s cap: the Spark Python API (PySpark) exposes users to the Spark Programming model with Python. Apache Spark is an open source and is touted as a significant big data framework for pivoting your tasks in a cluster. The main objective of this course is to teach budding programmers how to write python code using map-reduce programming model. The 40-hours hands-on classroom training will talk about Big Data, overview of Hadoop, Python, Apache Spark, Kafka, PySpark and Machine Learning.

Now, first 12 students who happen to register for each course on or before 30th August, 2018 will get alluring discount offer on the total course fee. Interesting, isn’t it? So, what are you waiting for? Go, grab all the details about AUGUST OFFER: to register, call us at +91 9315 725 902 / +91 124 450 2444 or hit the link below – www.dexlabanalytics.com/contact

 

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6 Indian Union Ministries That Are Using Artificial Intelligence

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6 Indian Union Ministries That Are Using Artificial Intelligence

It’s no brainer; artificial intelligence has seeped deep into our lives and it has even caught the attention of Indian government. Indian government initiatives are proof of that. The NDA-led BJP government is an admirer of new technology and has given enough importance to AI by setting up an AI Task Force to arm India for the Industrial Revolution 4.0.

In fact, if you follow through a series of events or speeches, you’ll find how frequently our Prime Minister, Narendra Modi projects India and his government to be technologically-driven. In this blog, we’ll share how our top 6 Union Ministries are using Artificial Intelligence on a wider scale for better economy and powerful country presence:

Ministry of Defense

AI Task Force of the Ministry of Defense led by Tata Sons Chairman N Chandrasekaran filed its final report to Defense Minister Nirmala Sitharaman about employing AI for military superiority. The report includes recommendations regarding making India AI-empowered, both in terms of offensive and defensive needs, across naval, aviation, cyber, land, nuclear and biological warfare verticals.

NITI Aayog (the former Planning Commission)

The National Institution for Transforming India recently identified 5 sectors, namely ealthcare, agriculture, education, smart cities and infrastructure, smart mobility and transportation where profound importance will given towards AI implementation to serve societal needs.

Ministry of Information and Broadcasting

Recently, BECIL (Broadcast Engineering Consultants India Limited), functioning under the Ministry of Information and Broadcasting unveiled a tender showing the present government is more likely to take public opinion and media seriously. The government has chalked out a proposal for a respective “technology platform”, which would tap into public emotions by analyzing social media blogs, accounts, posts and even emails to promote nationalism and negate any media bickering by India’s adversaries.

Ministry of Railways

Indian Railways has been in a line of fire for its food catering services. Say thanks to Artificial Intelligence – AI is transforming the way the food is prepared. Not only is it revamping the entire food menu in trains but also promoting a greener environment by going bio-degradable and delivering food in environment-friendly containers.

Ministry of Home Affairs

First of its kind, Intelligence Traffic Management System is going to be installed by the Delhi Police, under the supervision of Home Ministry. This initiative will initiate smart traffic signals, with the help of AI and their first phase is going to be completed by April 2019.

Ministry of External Affairs

With intent to enhance the flow of information between countries, the Ministry of External Affairs had recently conducted a confidential meeting including global AI stalwarts to discuss how to drag attention of Indian Diaspora.

A quick bite: Niti Aayog, under the guidance of CEO Amitabh Kant has been a key stimulator of numerous digital campaigns across the country, including Aadhaar, encompassing biometric programme and India Chain Project.

Now, all you data enthusiasts chart your career in the right direction with DexLab Analytics’ big data hadoop certification in Noida!! DexLab Analytics being a noted big data hadoop institute in Noida offers nothing but the best.

 

The blog has been sourced from – analyticsindiamag.com/7-indian-union-ministries-who-have-embraced-artificial-intelligence-big-time

 

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Cryptojacking: How Businesses Can Protect Systems from This Latest Cyber Threat

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Cryptojacking: How Businesses Can Protect Systems from This Latest Cyber Threat

The rising threat of cyber attacks and the sophistication of these crimes have created a frightening security situation all over the world. The cases of data and privacy breach are increasing every day. Both private and public sector are at risk and understandably the average internet user is very paranoid. Cybercriminals keep innovating new ways to take advantage of security vulnerabilities present in systems.

Cryptojacking is one such cyber threat that has targeted countless unsuspected users all around the world. Particularly in India, cryptojacking has become a pressing problem. According to a recent study by Quick Heal Technologies, from January to May 2018, nearly 3 million cryptojacking cases have been reported.

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What is Cryptojacking?

Cryptojacking is a method of hacking into systems and illegally using them to mine cryptocurrency. Malicious scripts are loaded into machines without the knowledge of owners. The group or individual that loads the malicious program reaps the rewards of cryptomining activities, while the owner of the machine isn’t provided any kind of compensation.

There are two types of processes used to carry out cryptojacking attacks:

In the first process, a cryptomining code is installed in the compromised system by means of an infected file.

In the second method, a website or online ad is infected with a JavaScript-based cryptomining script. When users click on this link, the scrip auto-executes itself.

Why is Cryptojacking So Challenging for Businesses?

The malicious script transmits processing power from the compromised machine to the unauthorized cryptocurrency mining. This affects the computer in the following ways:

  • Slows down the system
  • Causes the machine to lag
  • Some applications become completely inaccessible
  • Resource-intensive operations related to cryptomining damage the hardware of an infected system and at times even cause it to crash repeatedly.

Cryptojacking is a serious business hazard. These disruptions result in downtime and IT tickets, which basically cost the business a lot of money. Global businesses lose billions of dollars due to IT downtime. Infected systems consume huge amounts of electricity and hence the operational costs increase significantly. Bottom line, cryptojacking eats away business revenues, which if taken precautions may be avoided.

How to Protect from Cryptojacking Attacks?

The modern cyber-attack landscape evolves every minute. In the face of such dynamism, it is absolutely essential to adopt a multi-layered approach for preserving IT security. The need of the hour is to invest in advanced security solutions. These solutions must include the following features:

Endpoint Security: In order to protect endpoints from cryptojacking a robust Endpoint Security solution with cutting-edge features like behavior based detection and antivirus is necessary.

Web Filtering: Web Filtering includes a set of tools that can be customized to safeguard your business network from suspicious websites. Distrustful websites are blocked and users are prevented from accessing them.

Network Monitoring: This is a tool that is able to detect huge surges in processor activity, which is a well-known symptom of a cryptojacked device. It helps network administrators keep a close eye on data anomalies.

Mobile Device Management (MDM): Business users depend on mobile phones for conveniently carrying out activities. Hence, deploying a robust MDM solution is important for preventing this type of hijacking.

Apart from these, businesses must ensure basic security hygiene, such as installing a web security solution for the safety of visitors on their website and also carry out patching of latest security updates. For example, SecBI has developed an artificial intelligence solution that analyzes network data and identifies cryptojacking threats.

For more blogs on the latest technical innovations, follow the premier big data Hadoop training institute– DexLab Analytics. Do take a look at the course details for big data Hadoop certification in Delhi.

 

Reference: cio.economictimes.indiatimes.com/tech-talk/how-businesses-can-secure-their-systems-from-cryptojacking/3175

 

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Tapping Into Big Data for Better Talent Acquisition

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Tapping Into Big Data for Better Talent Acquisition

There are many variables that need to be considered while making hiring decisions. Most importantly, there’s need to fill skill gap. Other factors are candidate behavior and financial aspects of hiring, like cost for training new employees. Big data and analytics help form valuable insights into the job market. Consider the example of IBM acquiring the services of consulting firm Kenexa. It was used to access data of 40 million workers in order to find the personality trait most suitable for a sales job. All kinds of information starting from the workers’ job applications to managerial level was analyzed and it was determined that ’persistence’ is the most valued trait.

Here are some important ways big data helps firms attract promising candidates:

Automate HR Affairs

Talent Acquisition encompasses a wide variety of tasks and when HR teams work in tandem with AI then many day-to-day tasks gets simplified. It helps with tasks like filtering and tracking application status of candidates, getting new hires onboard and making future decisions about employees by analyzing data of previous employees. Data enabled systems saves a lot of time and makes tedious tasks much easier.

Predictive Analytics for Better Hiring Decisions

Hiring professionals need 360 degree information about a particular situation in order to make the best decision possible. They need to analyze everything starting from the human capital requirement in the organization to the economics. Big data enables them to form a clear idea about the skill gaps in the company’s workforce, analyze current trends in the market, follow the financial KPI’s and demographic traits associated with hiring, set the hiring quota and identify the skills and talents to look for in new hires.

Discard ‘’Eleventh Hour’’ Hiring Method

The urgency to fill skill gaps often pressurizes HR professionals to make quick hires, which can be impulsive and not the best. With the help of predictive analytics, these last minute situations can be completely avoided. It allows HR teams to form long-term hiring strategies that align with company goals and also enables them to make timely hires. Using the power of big data, you can be aware of the future needs of your company and job market trends. Hence, it helps eliminate panic situations where you make a hire only to realize later that he/she doesn’t fit the bill.

Social Media for Insights

Big data helps firms attract the right candidates that fit a role. The hard data available on the social media platforms of promising candidates and their search behavior online give organizations crucial information that help them make right decisions. Talent Bin is one of the many employment websites that use information from social media to form insights.

Targeted Job Ads

With the help of analytics, companies can create target groups and rope them in by showing relevant ads. For example, if there’s a financial service provider who enjoys a large talent network interested in marketing on LinkedIn, then they can take this opportunity to post marketing-specific job advertisements. Many potential candidates might find these posts engaging and the company will find the right fit for the job.

Wrapping up, we can say that big data has opened up fresh avenues to make better hires. The influence of big data in every aspect of the modern corporate sector is truly astounding. The smartest candidates are enrolling for big data courses to build skills that sell the most in today’s world of work. For expert-guided big data Hadoop training in Gurgaon, visit DexLab Analytics.

 

Reference: insidebigdata.com/2018/07/20/big-data-talent-acquisition-effective-synergy-make-better-hires

 

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#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

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#JobTrends: Open Data Analytics Jobs in India Is Set To Double in 2018

Prediction says – the demand for AI and Big Data Analytics jobs is expected to hit 5.11 lakh, but professionals possessing the desired skills will number only 3.7 lakh by the end of 2018 – according to the National Association of Software and Services Companies (Nasscom). 

Further, the demand is expected to spike up to 7.86 lakh by the end of 2021.

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No wonder, the Indian IT industry is exploding with lucrative opportunities – 2018 began witnessing a steep rise in demand for skilled consultants specialized in the quarters of emerging technologies, like machine learning and artificial intelligence as well as big data and analytics. And, with a steady focus on Digital India, the IT recruitment industry is on its wheels to add 50% more workforce, resulting in another 1.80 to 2.0 lakh job creation by the end of this year.

Artificial Intelligence alone has the ability to generate 2.3 million jobs globally by 2020, says Alka Dhingra, GM, IT Staffing, TeamLease Services, a leading recruitment company. 

Revival of Indian IT sector

Since the technology is taking charge and rapidly transforming the every facet of business, the World Economic Forum has predicted a net loss of 5 million jobs in a couple of years. However, this leaves little room for worry, because job seekers and skilled professionals possessing the desired skills will be in a comfortable position to capitalize this trend and strive for better.

In this context, “Priority focus for us would be re-skilling the workforce in AI and big data,” says Debjani Ghosh, President, Nasscom, further adding, “Of the 4 million jobs in the industry, the nature of 60-65% is likely to change over the next five years.”

Quite interestingly, 1 out of 5 companies are found using AI to boost decision-making capacity. It help companies provide curated customized solutions and instructions to techies in real-time. Back in the day, traditional text analytics platforms were extremely complex; a handful number of companies were lucky enough to successfully analyze text data. But now, with Deep learning in AI, analysis of structured and unstructured text data has become a piece of cake – as a result of which, “We expect a 60 per cent increase in demand for AI and machine learning specialists in 2018,” shares BN Thammaiah, Managing Director, Kelly Services India.

Just like their job responsibility, the pay package of an AI professional breathes of adequacy – a techie with 2-4 years of experience earns 15-20 lakh INR annually, whereas 4-8 years of experience leads to 20-50 lakh INR annually.  

Interested in Hadoop training in Gurgaon? Visit the experts at DexLab Analytics.

New Streams to Consider

Retail, healthcare, telecom and manufacturing – these sectors are going to first witness the big data impact, followed by automobiles and FinTech. The next 5 years is going to be pivotal. Companies would be struggling hard to find and appoint AI engineers, especially for positions relating BI and Cloud for industrial automation. BlockChain is another new-age digital discipline that has started shifting focus and drawing attention across the e-com industry. It is found penetrating the sector, and for good reasons.

Now, if you are a data-enthusiast and seeking ways to reap benefits out of such a magnanimous tech-revolution? We got your back. DexLab Analytics offers state of the art Big Data training in Gurgaon at the best prices. Learn more.

 

The blog has been sourced from —

www.thehindu.com/business/Industry/ai-big-data-will-require-51-lakh-people-in-2018/article24534536.ece?utm_campaign=socialflow

www.thehindubusinessline.com/info-tech/big-data-machine-learning-ai-to-shape-job-market-in-2018/article10006991.ece

 

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Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

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Big Data Analytics: 10 Data-Slurping Things Everyone Should Know

Big Data is no more a fleeting obsession. With numbers. It’s the beginning of a cognitive revolution that’s touching every facet of life and business on this planet.

Thanks to technological advancement, we’re churning more data than ever before. In fact, a lot more. And for good reason.

Every second we create new data – Don’t believe me?

Here are 10 mindboggling stats about big data – how it’s created, ways it’s being used and how much of it is still out there waiting to AMAZEEE us!!!

In short, this convinces us why we can’t afford to ignore big data and analytics:

Data volumes are exploding – the way it’s growing, by the end of 2020, it would generate 1.7 megabytes of new data every second for every human being living on this planet.

In a couple of years, our aggregated digital reservoir of data will expand from 4.4 zettabytes to approximately 44 zettabytes, or 44 trillion gigabytes.

Facebook users view 2.77 million videos and send 31.25 million messages, on an average every minute.

Whaaaat??!!!

Too much to process??

Wait, till you hear this!

Every minute up to 300 hours of video are being uploaded on YouTube, alone.

 Yes, while you are reading this blog, loads of users are already uploading chunks of content online.

For that reason or other, within the next 5 years, there will be more than 50 billion smart connected devices in the world, all powered by cutting edge data analysis technology.

Be ready to collect, analyze and share data without batting eyelids.

By 2020, one third of total data will roll over to the cloud (a concentrated network of servers all connected through the Internet)

Distributed Computing is the future. Google uses it involving 1000 computers to solve a single search query within 0.2 seconds. Woah!!!

Hadoop market is expected to grow at a compound annual growth rate 58% beating $1 billion mark by 2020.

The White House is heard to have invested more than $200 million in big data projects.

Now, the most spectacular fact is that less than 0.5% of all data is analyzed and used till now… So, just imagine the potential it withholds!!

In the next five years, big data is going to touch the moon, and what about you?! Don’t you feel like joining the data-inspired bandwagon?

Go, grab a quick Big Data Hadoop training in Gurgaon — and fill in oodles of knowledge, skill and expertise for improving your career graph and business performance. For more information on big data hadoop certification, drop by our expert website of DexLab Analytics.

The blog has been sourced from —

https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#6a5cef7817b1

https://www.datasciencecentral.com/profiles/blogs/15-astonishing-tweetable-facts-about-analytics

 

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