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All Blog Posts Tagged 'big' (231)

5 Reasons You Need a Better Data Management Solution

Congratulations.
It took time, but you’re data-driven. You’ve got data scientists to crunch numbers, a fully stocked data lake, and analysts to make it all make sense. But even with the infrastructure in place, benefiting from data isn’t as easy as flipping a switch. These days, businesses have yet to properly…
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Added by Lewis Wynne-Jones on July 16, 2019 at 5:00am — No Comments

How Long Does It Take to Learn Python for Data Science?

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…

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Added by Yoey Thamas on July 2, 2019 at 12:29am — No Comments

What Is Big Data And What Are Its Importance

Big Brother? No, no, no, Big Data.

If someone tells you about the Big Data concept in the course of a conversation, do not think that your interlocutor is addicted to the programs of reality TV (a term used by your audience) or trash (as you like to call your detractors). Although it sounds similar, that's the Big Brother. Although in the background and tangentially, you can find certain similarities, or relationships, between the television phenomenon Big Brother and the latest…

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Added by Ricky Brown on June 14, 2019 at 3:14am — No Comments

Why Every Hadoop Professional Needs Data Science Skills?

Value of adopting Data Science Skills

Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.

Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…

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Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments

What are the prerequisite skills required to become a data scientist in 2019?

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

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Added by Yoey Thamas on April 7, 2019 at 8:57pm — 1 Comment

How Big Data and Education Can Work Together to Help Students Thrive

According to technology experts that would have increased from 130 to 40000 exabytes ten and a half years before 2020. Some research writers have estimated that society will produce 1.7 megabytes of data every day for each individual on the planet increasing today's digital universe from 4.4 to 44 zettabytes

A lot of institutions and organisations…

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Added by Debra White on February 20, 2019 at 1:00am — No Comments

Five Top Big Data Certifications for 2019

“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner 

Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.  

As technology move…

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Added by Aileen Scott on February 10, 2019 at 6:30pm — No Comments

How Airlines & Hotels Profit From Your Data

The past few years have seen a wave of travel companies member accounts compromised which have rocked the industry.

Cathay Pacific had 9.4M accounts compromised.…

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Added by Mark Ross-Smith on December 27, 2018 at 9:30pm — No Comments

The Skinny on Big Data: Everything You Need to Know From Our CTO

The term "big data" comes up frequently in articles and office discussions, but what does it really mean to utilize big data?

Big data: it’s one of those buzzwords you can’t seem to get away from. Though you might have an idea of what it means, there’s likely plenty you don’t know the ins and outs of what it takes to really harness the power of big data.

We sat down with Robert Swisher, Chief Technology Officer at Business.com, to get a better idea of what…

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Added by Juan Koss on December 14, 2018 at 4:30am — No Comments

Firms can save time and cost with Deep learning methodologies!

The rise in Machine Learning, Deep Learning and Artificial Intelligence technologies seems to breaking all barriers. All these technologies have the potential to spur innovation everywhere in the world. When it comes to deep learning, the technological advancement seem to be very uplifting. They have the power to help the companies perform better and more quickly. But, at the same time, there is certain amount of confusion surrounding these technologies as well.…

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Added by Samual Alister on December 7, 2018 at 5:00am — No Comments

Data Enrichment: More Data is Often the Easiest Way

When it comes to Data Science, the most recurring topic is modeling. Quite a few articles out there talk about data preparation and only a bunch about how to communicate your results properly. However, there are hardly any dealing with the topic that we are going to cover today: data enrichment.

In our experience with helping companies to start using their data…

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Added by Juraj Kapasny on December 3, 2018 at 1:30am — No Comments

Sentiment Analysis: Types, Tools, and Use Cases

What do you do before purchasing something that costs more than a pack of gum? Whether you want to treat yourself to new sneakers, a laptop, or an overseas tour, processing an order without checking out similar products or offers and reading reviews doesn’t make much sense anymore. Thanks to comment sections on eCommerce sites, social nets, review platforms, or dedicated forums, you can learn a ton about a product or service and evaluate whether it’s a good value for money. Other customers,…

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Added by Kateryna Lytvynova on October 30, 2018 at 12:45am — No Comments

How to be an Artificial Intelligence (AI) Expert?

Introduction

Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, artificial intelligence has been at the centre of these amazing huge-impact projects.

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual…

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Added by Divya Singh on October 29, 2018 at 7:30am — 1 Comment

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

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Added by Divya Singh on October 2, 2018 at 6:15am — 1 Comment

Fashion, Weather And Predictive Analytics

Wondering how the words, fashion, weather and predictive analytics are connected?

Here’s a poser – what is one of the biggest challenges before the global fashion industry today? Weather. You wouldn’t have guessed it, right?

Pick up any fashion magazine, read any fashion portal, white paper…. you name it, unpredictable weather is on the Top-5…

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Added by Hemant Warudkar on July 27, 2018 at 4:13am — No Comments

Who are our Data Quality Heroes?

Who are our Data Quality Heroes?

Lemahieu W., vanden Broucke S., Baesens B.

This article is based upon our upcoming book Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data, www.pdbmbook.com  See also our corresponding…

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Added by Bart Baesens on June 27, 2018 at 10:30pm — No Comments

Digital Transformation in Recruitment

A few years ago, the impact of digitization was only established in top industries like Banking, Insurance, and Retail. Now times have changed – the recruitment industry is also adopting digital transformation.

Everyone is a candidate at some point in their journey. Whether you are an employer or a candidate searching…

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Added by Sandeep Raut on June 16, 2018 at 3:30am — No Comments

Choosing Between Modern Data Warehouses



When our customers ask us what the best data warehouse is for their growing company, we consider the answer based on their specific needs. Usually, they need nearly real-time data for a low price without the need to maintain data warehouse infrastructure. In this case, we advise them to use…

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Added by Luba Belokon on April 19, 2018 at 5:30am — No Comments

How HR Analytics play in Digital Age

Today every company is acting on the digital transformation or at least talking about digital transformation. While it is important to drive it by analyzing customer behavior, it is extremely important to understand who from your organization is acting upon it – your employees.

Hence…

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Added by Sandeep Raut on April 17, 2018 at 1:30am — No Comments

ETL vs ELT: Considering the Advancement of Data Warehouses

ETL stands for Extract, Transform, Load. It has been a traditional way to manage analytics pipelines for decades. With the advent of modern cloud-based data warehouses, such as BigQuery or Redshift, the traditional concept of ETL is changing towards ELT – when you’re running transformations right in the data warehouse. Let’s see why it’s happening, what it means to have ETL vs ELT, and what we can expect in the future.

ETL is hard and outdated

ETL arose to solve a problem of…

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Added by Luba Belokon on April 6, 2018 at 7:30am — No Comments

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