Importance of C++ in Data Science and Big Data
Introduction and Motivation – Why C++
C++ is ideal for dynamic load balancing, adaptive… Continue
Added by Sharmistha Chatterjee on September 24, 2020 at 8:30am —
The new era of BigData and advances in technology have made significant transitions towards the high functionality of IoT devices. The popularity of IoT devices has led to more easier methods for BigData collection, analysis, and distribution at a rapid rate. According to a report by… Continue
Added by Smith Johnson on September 25, 2019 at 7:30pm —
BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Analyze all your data by… Continue
Added by satyajit maitra on March 22, 2019 at 3:49am —
Microsoft ASP .NET is an open source, very famous, and widely used web advancement technology, which gives a programming model, a complete programming framework and different administrations required to develop strong web applications for PC, and also cell phones. ASP .NET is a piece of Microsoft’s Dot (.) Net technology… Continue
Added by Samual Alister on January 9, 2019 at 1:30am —
R is a software programming language developed in 1993. In New Zealand, two professors of Auckland University Ross Ihaka and Robert Gentleman first conceived R. The most stable beta version of R was made in 2000. Here ‘R’ holds an extensive catalog produced of statistics and graphics methods. These methods include a machine learning algorithm, time series, linear regression, statistical inferences and many more.…
Added by Raghavarao on November 26, 2018 at 8:30pm —
The most obvious thing for any Health Care Organization (HCO) to do is to develop in-house infrastructure to manage its healthcare data. That’s simpler said than done, though. Setting up an Enterprise-grade data warehouse not only involves additional hires, there’s some amount of capital expenditure as well as operational costs involved.
Here’s what’s needed – an investment in the right personnel and the right…
Added by Hemant Warudkar on September 11, 2018 at 5:00pm —
The original intent of this post was to take a real-life project with GraphQL and to see the performance of gRPC against HTTP. Instead, we ended up using the awesome GraphCool… Continue
Added by Jesus Ramos on May 8, 2018 at 10:00am —
Added by Jesus Ramos on May 8, 2018 at 9:30am —
The mode is one of the basic statistics which is defined as the most common value over an array. When the values of the array are categorical, the mode is easy to detect by selecting the one with the most occurrence. The problem of identifying the modes on a numerical array is harder since the values…
Added by Jesus Ramos on May 8, 2018 at 9:30am —
When the first release of Spark became available in 2014, Hadoop had already enjoyed several years of growth since 2009 onwards in the commercial space. Although Hadoop solved a major hurdle in analyzing large terabyte-scale datasets efficiently, using distributed computing methods that were broadly accessible, it still had shortfalls that hindered its wider acceptance.
Limitations of Hadoop
A few of the common…
Added by Packt Publishing on May 3, 2018 at 1:30am —
To say that AI is big data is to overstate things a bit. And yet, without big data, AI wouldn’t be where it is today. In the last few decades, the two technologies have advanced in lock-step. Largely because without big data, however clever the AI programmers were, they couldn’t get past the theoretical stage.
Mainly, this is down to what big data is used for. Through data, it is possible to train AI and thereby give them the opportunity to learn things. The more data is available,… Continue
Added by Alaine Gordon on April 20, 2018 at 12:00am —
“Arguably the most significant development in information technology over the past few years, blockchain has the potential to change the way that the world approaches big data, with enhanced security and data quality just two of the benefits afforded to businesses using Satoshi Nakamoto’s landmark technology.”… Continue
Added by Noah Data on September 8, 2017 at 3:00am —
According to Gartner, 80% of successful CDOs will have value creation or revenue generation as their Number 1 priority through 2021.
To create the maximum value out the organization’s data landscape, traditional decision support system architecture are no longer adequate. New architectural patterns need to be developed to harness the… Continue
Added by Pradeep Menon on August 1, 2017 at 5:00am —
It has been a while since the hype, and now it’s time for some reality check.
Everyone has been riding on the data wave and analytics has been the biggest buzz word for almost a decade now.
Let us talk about the impact, success and ROI now.
- How many companies do you think are really changing the way they have been , by adopting analytics?
- How many businesses are data driven? In real sense?
- How many enterprises are running at scale with big data…
Added by Gaurav Kumar on May 2, 2017 at 6:30pm —
Analytics and Big Datahave disrupted many industries, and now they are on the edge of scoring major points in sports. Over the past few years, the world of sports has experienced an explosion in the use of analytics
Till few years back experience, gut feelings, and superstition have traditionally shaped the decision making process in… Continue
Added by Sandeep Raut on January 15, 2017 at 7:00am —
Data is growing, and hence is the requirement for perfect decision making by companies. In this era where analytics is the new buzzword, companies are looking for able and determined Data Scientists.
But as always, the quest to get the sexiest and the highest paying job is not an easy task. For acquiring such a demanding position one must be well skilled and experienced.
Don’t freak out! Because now a days a lot of resources and tips are available to be perfect in what you are… Continue
Added by Sukanya Mohapatra on April 15, 2016 at 4:30am —
With the wide array of amazing data visualization tools out there - SAP Lumira, Qlik, Domo, Tableau - you would think that the world has moved towards a graphical understanding of reality.
Yet my experience has been that when people are faced with the task of using a fancy new graph or visualization in their work, their first reaction is….to freak out. Now bear with me now. I am not implying that most people can’t handle a nice bar chart or a three… Continue
Added by Eduardo Siman on March 28, 2016 at 2:30pm —
The Riemann Hypothesis is arguably the most important unsolved problem in mathematics. It falls into an area called Analytic Number Theory which is essentially number theory with complex numbers thrown into the mix. The hypothesis states that all non-trivial zeros of the Reimann Zeta function fall on the critical line. What!?? Ok, sorry. That is not very helpful. Lets just say that there is a critical relationship between this function and our…
Added by Eduardo Siman on February 11, 2016 at 3:30am —
There are a lot more options for monetizing data than selling a database.Big data change the way businesses monetize data.Let’s look at general strategies tend to be used for successful data monetization.
Data as a service:
It all comes down to speed at which data moves around.Just think of social media messages going viral in… Continue
Added by vivek upadhyay on November 10, 2015 at 8:00am —
You may think that all big data experts are created equal, but nothing could be further from the truth. However, the terms “data scientist” and “business analyst” are often used interchangeably. It’s a common and confusing use of terminology, which is why [email protected], a masters in business analytics, created this infographic to help create further clarity about the two… Continue
Added by Taylor Meadows on October 22, 2015 at 4:30am —