tag:blogger.com,1999:blog-9967600959121562442024-03-21T07:49:08.191-07:00Big Data Training Institute | www.dexlabanalytics.comDexlab Analytics is the best institute to offer Big Data Hadoop training courses and training certification in Delhi and Gurgaon for a rewarding career.Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.comBlogger6125tag:blogger.com,1999:blog-996760095912156244.post-88090630413181182492016-09-23T02:17:00.000-07:002016-09-23T02:36:31.236-07:00Big Data is Influencing The Entertainment Industry in a Big Way<div dir="ltr" style="text-align: left;" trbidi="on">
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">We already know
how Big Data can provide insights into massive datasets, and interpret them to
yield valuable information. Nevertheless, can the usage of Big Data shape the
future of the entertainment industry? In such a turbulent and unpredictable
sector like that of movies, can systematic data aggregation and interpretation
lead to effective results? </span></div>
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<br /></div>
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<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 14.0pt; line-height: 115%;">Usage of Big Data in Hollywood</span></b></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify;">
<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Legendary
Entertainment is one of the top film producing companies based in Boston, USA.
Their portfolio consists of films like Inception, The Dark Knight trilogy and
many more. The company uses analytics to gather valuable information, which in turn
helps them to decide on several important topics such as casting, trailer
content, etc. The practice is quite similar for Netflix as well. The online
video content creators rely on Big Data to customise shows available on their
website. They use analytics to figure out audience choice, and provide
tailor-made content for consumption. </span></div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify;">
<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Nevertheless,
how Big Data is helping these companies to execute their strategy and get
better results in such a competitive industry? Let us find out.</span></div>
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<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 14.0pt; line-height: 115%;">A better definition of target audience</span></b></div>
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<br /></div>
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Social media has
proved its importance as a modern marketing tool. However, a promotional event
succeeds only when it is conducted around the specific consumers. Big Data
gathers huge data from numerous social media sites, news sites and other websites,
eventually conducting analysis of them to figure out the different audience
groups. A producer, therefore, can focus on reaching to their target audience
in a more specific manner.</span></div>
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<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 14.0pt; line-height: 115%;">Reduction of marketing expenses</span></b></div>
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<br /></div>
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Big Data cuts
down marketing expenses largely by providing quality leads. Having an accurate
audience data allows the entertainment companies to plan clear-cut marketing
campaigns, which in turn brings down the expenses. </span></div>
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<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 14.0pt; line-height: 115%;">Special tailor-made content</span></b></div>
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<br /></div>
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Different groups
of audience prefer different types of content. Big Data takes into account
their preferences to decide on the type of content they would distribute. Many
companies create different trailers for the same movie, only to distribute and
publish them in different demographics depending on the target audience’s
interests. </span></div>
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<br /></div>
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<b style="mso-bidi-font-weight: normal;"><span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 14.0pt; line-height: 115%;">Its influence on release dates</span></b></div>
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Release dates
often dictate how well a movie will perform at the box office. For example,
when a film starring Bollywood superstar Salman Khan, releases in Eid, no other
moviemaker tends to compete with his film. The same thing happens when Shah
Rukh Khan releases his films on Diwali. Data suggests that their films
consistently break Box Office records on these respective dates. As a result,
competitors feel insecure to release films on these weekends. </span></div>
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<br /></div>
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<span lang="EN-GB" style="font-family: "times new roman" , "serif"; font-size: 12.0pt; line-height: 115%;">Unlike other
industries, the entertainment sector is a fan-driven one, with word of mouth
publicity being one of the most important factors for the success of a film or
music album. Buying cassettes is a habit of the past and so is the habit of
watching movies in the theatre. However, theatres still exist and prove to be
one of the major revenue collectors for the movies. Now that everyone has
access to multiple screens at a time, including their desktops and smart
phones, new windows of opportunities have opened up for the entertainment
companies. In such a scenario, Big Data is turning out to be the biggest best
friend for the entertainment producers.</span></div>
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<br /></div>
</div>
<blockquote>
<h4 style="text-align: justify;">
<span style="color: #000000;"><span style="color: #000000;"><span style="color: #000000;"><span style="color: Red;">Interested in a career in Data Analyst?</span></span></span></span></h4>
<br/>
<span style="color: Black;"><span style="color: black;">To learn more about Machine Learning Using Python and Spark<span style="color: #000000;"> </span></span><span style="color: #000000;">- </span></span><span style="color: #000000;"><span style="color: #000000;"><span style="color: Black;"><a href="http://www.dexlabanalytics.com/online-courses/machine-learning-python-spark" style="color: Red;" target="_blank">click here</a></span></span><span style="line-height: 1.5;">.</span></span>
<br />
<div style="text-align: justify;">
<span style="color: black;">To learn more about Data </span><span style="color: black;"><span style="color: black;">Analyst</span> </span><span style="line-height: 1.5;">with Advanced excel course <span style="color: #000000;">– </span></span><span style="color: #000000;"><span style="color: white;"><a href="http://www.dexlabanalytics.com/courses/ms-excel-vba" style="color: Red;" target="_blank">click here</a></span><span style="line-height: 1.5;">.</span> </span><span style="line-height: 1.5;"><span style="line-height: 1.5;"><br />To learn more about Big Data Course <span style="color: #000000;">– </span></span><span style="color: #000000;"><span style="color: white;"><a href="http://www.dexlabanalytics.com/courses/big-data-hadoop" style="color: Red;" target="_blank">click here</a></span><span style="line-height: 1.5;">.</span></span></span></div>
</blockquote>
</div>
Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com8tag:blogger.com,1999:blog-996760095912156244.post-86740002796187056712016-07-13T01:51:00.003-07:002016-09-23T02:05:19.232-07:00Python or R: Which to Learn First<div dir="ltr" style="text-align: left;" trbidi="on">
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If you are interested in Big Data as a career choice and are
aware of the skills required to be an expert in this field, then chances are
high that you are aware of the role of R and python programming languages for
analyzing data. In case you are confused about which language to learn first, this
blog will guide you towards making the right decision.</div>
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R and Python are free solutions which are user friendly and
can be used for data analysis. It is normal for beginners to wonder which
language to learn first; but the good thing is both are excellent choices.</div>
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Recent studies on the use of programming languages has
revealed the following:<br />
</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwtL-72ku8a4SjFoLA5K2JFpgt2291REFjMlfctVXfWP7bSOMUs6mX9_EYw8HtKxw5Vbhb5Y9gyI8PWzSrR0XBgpms4a8vx0n_AFoeA5JH5OImV1Ma06PPzZovKPJdBDWT1-OtIrrgGoA/s1600/Banner-141.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="400" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjwtL-72ku8a4SjFoLA5K2JFpgt2291REFjMlfctVXfWP7bSOMUs6mX9_EYw8HtKxw5Vbhb5Y9gyI8PWzSrR0XBgpms4a8vx0n_AFoeA5JH5OImV1Ma06PPzZovKPJdBDWT1-OtIrrgGoA/s400/Banner-141.png" width="400" /></a></div>
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<b>Why You Should Choose
R?</b><br />
<br />
<b></b><br />
<b><o:p></o:p></b></div>
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R has an active, dedicated and thriving community which
helps beginners by resolving their queries and offering assistance on various
aspects of R. Also, R has an abundance of packages that makes it both
accessible and functioning. It is also compatible with Java, C, C++.</div>
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R programming does heavy tasks in statistical analysis and
also creates high definition graphics. R can perform complicated mathematical
operations and the array centered syntax of this language provides great help
to persons with little or no knowledge of coding.</div>
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<br /></div>
<div class="MsoNormal" style="text-align: justify;">
<b>Why You Should Choose
Python?</b><br />
<br />
<b></b><br />
<b><o:p></o:p></b></div>
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Unlike the specialized nature of R, Python is a language
that performs a wide range of tasks like engineering and wrangling data,
building web applications and scraping websites among others. If have knowledge
in OOP, then it is much easier to learn than R programming. Also the code in
python is robust, unlike R. </div>
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<br /></div>
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Though its data packages are limited, Python when used in
conjunction with tools like Numpy, Pandas, Scikit, it comes pretty close to the
comprehensive functionality of R. It is also being adopted for tasks like
statistical work of intermediate and basic complexity as well as machine
learning.</div>
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<br /></div>
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For more details please visit our blog at<a href="http://www.dexlabanalytics.com/blog/python-vs-r-which-you-want-to-learn-first" target="_blank"> http://www.dexlabanalytics.com/blog/python-vs-r-which-you-want-to-learn-first</a></div>
</div>
Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com6tag:blogger.com,1999:blog-996760095912156244.post-89903024716627458112016-05-08T23:10:00.001-07:002016-05-08T23:10:26.032-07:00BIG DATA AND PREDICTIVE ANALYSIS<div dir="ltr" style="text-align: left;" trbidi="on">
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</div>
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<iframe allowfullscreen="" frameborder="0" height="345" src="https://www.youtube.com/embed/LMFL_6BhRDc" width="560"></iframe>
</div>
<br />
<div style="text-align: justify;">
While psychology still remains to be a study that deals with a cluster of symptoms rather than a specific cause-related diseases; but researchers have long tried to pinpoint a standard causative agent that pushes patients to fall prey to the biggest causes of premature deaths other than cancer. Now it may be possible thanks to the technology related to predictive modeling.
</div>
</div>
Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com2tag:blogger.com,1999:blog-996760095912156244.post-24336507416087897572016-04-15T04:45:00.000-07:002016-04-15T04:51:11.672-07:00Are you in the age of Aristotle presently?<div dir="ltr" style="text-align: left;" trbidi="on">
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<br />
<iframe allowfullscreen="" frameborder="0" height="435" src="https://www.youtube.com/embed/rRAgoW4BNTE" width="600"></iframe>
</div>
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<span style="font-size: small;">In Aristotle’s age everybody inquires about the cause behind
every happening and that is exactly what the data driven world does today. To
identify the cause behind low sales figures of your company or the low revenue
generation, get with the Aristotles of today’s world in the realm of data.
These books may help you through. </span></div>
</div>
Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com2tag:blogger.com,1999:blog-996760095912156244.post-9763670254137191522016-04-13T00:26:00.000-07:002016-04-13T00:27:06.710-07:00Ways to Overcome Barriers Associated With IoT Data<div dir="ltr" style="text-align: left;" trbidi="on">
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Things look bright for data scientists and big data analysts before the dawn of the IoT or the Internet of Things, which is expected to yield unforeseen amounts of data from networked devices and sensors that create real-time data that is unstructured. Data architecture is also set to undergo a sea change in order to deal with these developments and properly trained data scientists with the ability to properly leverage this data will be in great demand.</div>
<br />
<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEghlckNgamc2vLINgX6AzLN17LaNz6uzsHdaxBSymUf75TFbQlxt46VmCBUPHUaLwn9rRcFdkHFOqSDpvAPKPwCHpKYSzc4ejf9Hz10GCfCKJVV0kN0mSlSSbpV0F55KUVZsxA9Rm2LO9E/s1600/The-Eclectic-Mix-of-Big-Data-and-Marketing.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEghlckNgamc2vLINgX6AzLN17LaNz6uzsHdaxBSymUf75TFbQlxt46VmCBUPHUaLwn9rRcFdkHFOqSDpvAPKPwCHpKYSzc4ejf9Hz10GCfCKJVV0kN0mSlSSbpV0F55KUVZsxA9Rm2LO9E/s400/The-Eclectic-Mix-of-Big-Data-and-Marketing.jpg" width="400" /></a></div>
<div style="text-align: justify;">
<br />
<br />
In order to overcome the obstacle of barriers related to data as in relation to the adoption of IoT we may contemplate the following measures:<br />
<br />
• Rethinking Data and IT Infrastructures<br />
<br />
The data analytics of IoT will rest ultimately on superior IT infrastructures like clusters of servers, computing based on the cloud, data centers amongst other things. Existing networks are already near the point of being exhausted and the vast amounts of increased data will only serve to put additional pressure on these networks and much more power will be needed in order to process the same properly. <br />
<br />
Organization and aggregation of data is a pre-requisite for applying analytics.<br />
<br />
Upgrades are an essential part of this new data architecture and technologies like Hadoop with its impressive combination of processing parallel and clusters of servers that are distributed will assume greater importance along with the people who have the technical expertise to set things up and negotiate with some of the more tricky aspects of the architecture.<br />
<br />
Chances are that data centers will take the distributed approach path with mini-centers of tiered clusters that pull the data and subsequently send it to other clusters that process the data. This will undoubtedly affect storage of data in addition to backup and bandwidth.<br />
<br />
• Data that is of Good Quality and Can Be Acted Upon<br />
<br />
The key issue will be to find the information that is capable of being acted upon and can make a meaningful and real change and the situation will likely arise where a company will find itself capable of collecting data that they do not have any use for as not all of the new data will be useful. Management of such actionable data will be in the purview of business analysts and data scientists.<br />
<br />
• NoSQL databases will in all likelihood replace RDBMSs<br />
<br />
Much if not exactly most of the unstructured data available from the Internet of Things may not easily be sorted into a number of tables, a main feature of traditional relational database management systems and they likely to be replaced by NoSQL databases like MongoDV, Couchbase and the like as they provide the flexibility needed by IoT data scientists in order to organize data in a manner that makes it usable.<br />
<br />
• A Software Stack is needed to be chosen in order to preprocess and analyze IoT Data<br />
<br />
After the organization and collection of massive amounts of such data, businesses are in need to have the proper plan and the software stack necessary to analyze the data, in place. There is a dire need of choosing the correct software stack and the accompanying database which is able to deal with the type and scale of the data at hand.<br />
<br />
A data professional needs to undergo suitable <a href="http://www.dexlabanalytics.com/courses/big-data-hadoop" target="_blank"><b>Big data training</b></a> that will get him up and ready for all of the challenging and exciting tasks that await him in his Big Data adventure.</div>
</div>
Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com3tag:blogger.com,1999:blog-996760095912156244.post-77436463824571598532015-04-06T05:00:00.002-07:002015-04-06T05:00:17.393-07:00How is big data analytics a strategic part of business decisions today?<div dir="ltr" style="text-align: left;" trbidi="on">
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(Decode big data analytics and its relevance in today's
business scenario)</div>
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Businesses are getting
increasingly competitive and thanks to the connected community through multiple
devices, the way people are shopping or looking for products or solutions has
undergone a paradigm shift. We are living in a changed world in terms of the
way technology intersects almost all aspects of business, notwithstanding the
size and scale. Big data is driving businesses today and as per Gartner’s bid
data predications 2015<sup>1</sup>, “<i>By 2020, information will be used to
reinvent, digitalize or eliminate 80% of business processes and products from a
decade earlier.”</i> Sifting
through this big data requires special skills, training and niche area of
expertise. The following are some key ways in which big data analytics and
professionals engaged in this area will play a pivotal role in innovation,
identifying new patterns, product strategy, and customer engagement and
remaining competitive by being agile and predictive.<o:p></o:p></div>
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1 Improve internal processes- Companies of all sizes have data being
generated through multiple sources by their employees through the BYOD culture,
internal chat groups, intranet, emails, customer service calls etc. All this
data is critical as it indicates the seamless functioning of a company and its
internal health. Companies can use all this analytics to gauge and predict the
behavior of employees; the onsite teams etc. and make changes if needed to fill
gaps or to raise awareness amongst its internal audience when needed.<o:p></o:p></div>
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2-Increase efficiency- There are sophisticated ways using predictive data
analysis and other models wherein huge cost inefficiencies and operational
flaws can be looked into. By looking into work flows and other indicators, as
well as the production information, analysts can derive at the problem areas
helping companies to bring about changes that improve overall productivity by
eliminating challenges. <o:p></o:p></div>
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3-Customer strategy-Social media
chatter, emails, voice calls etc. are potential gold mines when it comes to
understanding what customers are perceiving about a company or its brand, the
adoption trends, overall sentiment and of course when you wish to enter a new
geography. Even when customers have a bad or good experience-everything comes
down to how companies are planning on using this crucial data. Analysts sift
through such information and find triggers, patterns, potential and of course
crucial actionable insights that helps companies making a new customer
communication or engagement campaign. <o:p></o:p></div>
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The above are some of the ways big data can help companies turn around
their operations, remain relevant and profitable in the midst of sweeping
changes across the global economy. This is where a certified big data analyst
plays a leading role. <o:p></o:p></div>
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<br /></div>
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<a href="http://www.forbes.com/sites/gartnergroup/2015/02/12/gartner-predicts-three-big-data-trends-for-business-intelligence/2/">http://www.forbes.com/sites/gartnergroup/2015/02/12/gartner-predicts-three-big-data-trends-for-business-intelligence/2/</a></div>
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<o:p></o:p></div>
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Dexlab Analyticshttp://www.blogger.com/profile/15581749138926975870noreply@blogger.com20