Big data certification enables data science professionals to upskill themselves in big data technologies and help organizations to gain innovative solutions and gain success.

Do you see yourself in the role as mentioned below in the near future?

· Support Hadoop and modern data environments

· Setup infrastructure, install software and look after all the process up to maintenance

· Identify third-party tools and manage Spark

· Involve in technical investigations and prototypes

· Manage cluster related testing activities

· Perform capacity monitoring and capacity planning on resources

· Design and implement disaster recovery strategy for all data components

· Adopt new concepts, practices or approaches

Then, the big data industry is for you. These are your dream career- Big data professional’s job roles.


Data engineering stays at the frontline of the data strategy in an organization. It helps to find creative and insightful solutions for the organization’s data. It deals with the application of science and technology, handles data problems, and processes bottlenecks.

The demand for data engineers has grown by 38% in the last year- 2019 and this marks just the beginning! The highest paying cities in the United States for data engineers as per Indeed.com …


COVID-19, fears, job losses, and big data!

· 800,000–1m people were found traveling in and out of Milan when Italy was supposed to be under lockdown.

· 99.98 percent of the individuals studied can be re-identified with approximately 15 demographic characteristics, despite their data being anonymized.

· 80 percent of the time the Belgians were found spending time within their home postal area even after confinement measures were announced.

Big data is the livelihood of a successful business. With data becoming a concern for every business, organizations are now thriving to hire skilled big data analysts.

Can you see how significant data can be?

The world generates about 2.5 quintillion bytes of data per day. With the growth of IoT, data generated daily is becoming endless.

But…


Your guide to data science certifications from industry-leading companies, which are well-recognized. Give your career a boost with these certifications.

In the modern workplace, the need for analyzing and interpreting data has increased immensely. Globally, many firms are relying upon the information that data scientists give so that they can use that data and drive the operations to large-scale processes.

If an individual is seeking career opportunities in the field of data science then doing a data science certification will be a great way to develop one’s skills and also to stand out against the competition.

In this article, let’s understand which data science certifications will help you to enhance your industry knowledge and also adds value to your career.


The importance of certified big data engineers is realized by organizations and they hire certified professionals to gain a competitive advantage and position in the market.

Data engineering involves the acquisition and transformation of data into business value using the right tools.

Though the engineering solutions follow an established process to retrieve and transform data, there are specific challenges of the data as it varies for every business and its verticals. Data science professionals cannot rely on a cookie-cutter approach to find solutions for the business problems. If you have engineered one data, it does not mean that you have seen the other data too in the pipeline. Each data needs a unique approach.

This unique approach toward finding solutions for organizations calls for an efficient…


The quantum race is already underway. Across the globe, many governments and private sectors are investing huge amounts to be ready for the quantum future.

In the year 2021 quantum computing was a blooming technology; many sectors have already noticed its potentiality. From artificial intelligence to healthcare, robotics to finance, and many more. All credits to the latest and innovative advancements that were happening during this period.

Quantum computing will be resolving soon many issues much quicker than any traditional computing. The abilities it possesses will be very helpful for the various businesses.

One can expect major advancements and key trends in this field like:

Quantum versus Classical

The present quantum revolution depends on the recent realization are the main part of quantum particles is…


Do you see yourself in the role as mentioned below in the near future?

· Support Hadoop and modern data environments

· Setup infrastructure, install software and look after all the process up to maintenance

· Identify third-party tools and manage Spark

· Involve in technical investigations and prototypes

· Manage cluster related testing activities

· Perform capacity monitoring and capacity planning on resources

· Design and implement disaster recovery strategy for all data components

· Adopt new concepts, practices or approaches

Then, the big data industry is for you. These are your dream career- Big data professional’s job roles.


As the technology keeps growing, so will the skills and programming language change. As a developer, you need to keep updating skills to stay relevant in the labor market.

Almost every year Coding Dojo tends to come up with the news of listing the topmost used or loved programming languages for developers.

As a result, we have the list of these programming languages for 2021.

They make it easy by checking out job posts and thus analyze which languages are likely to pop up at every job posting on Indeed.

To be precise, when looking to upgrade skills, most developers ensure to take a look at certain factors critical for their profession. Such factors include longevity, ease of learning, demand, and the potential salary is drawn.

As quoted by…


Unprecedented artificial intelligence (AI) progression depend on recurrent testing of swaths of data.

Owing to the potential to determine complex patterns in massive amounts of data, deep learning models are now becoming important tools to solve complex data science tasks like natural language processing (NLP) and image classification.

Benchmark testing: what it is

In an ever-changing world of technology, benchmark testing plays a critical role to predict how intelligent AI technology is — to detect weaknesses, and further build stronger and smarter models.

From MNIST to GLUE or ImageNet, benchmarks played a significant role to drive progress in AI research. They provide a specific target…


Despite the disruption caused by the pandemic, the hiring spree for tech professionals in the field of artificial intelligence (AI) and machine learning (ML) is hitting the roof.

Not only did COVID-19 highlighted the significance of AI across different sectors but also accelerated digital transformation.

Therefore, making AI engineers and AI specialists to be in excessive demand. Also, one of the major reasons why AI careers have started to lure every tech professional, even the newly minted graduates.

Let’s further delve deeper and try to understand the mindset of how things work with recruiters, especially when hiring a fresher.

Hunting…

Albert Christopher

AI Researcher, Writer, Tech Geek. Working on Deep Learning & Neural Networks. #cobots #coding #algorithms

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