The big data space is in constant growth.

Data creation continues to expand its role as decision making and business operations excel.

“As research states, the big data market is bound to rise to USD 142.5 billion between 2020 and 2024 – .”
Technavio

With innovation and technology on the rise, it becomes a challenge for companies to choose the right framework resulting to gain benefit using big data.

The idea behind creating a framework is because it offers the organization a structure to follow. On an interesting note, big data is not just about the combination of skills and technology but rather about following the right structure and capabilities.

DASCA’s Framework What it is?

Though organizations are aware of the benefits big data may impose, yet they struggle to embed the right and relevant big data practice within the organization.

DASCA’s big data frameworks are an approach for all organizations looking to consider all the capabilities resulting in the success of a big data practice. All in all, from providing a rigorous framework to offering the best DASCA- Data Science Body of Knowledge (DSBoK™) every organization must possess.

DASCA’s – Data Science Body of Knowledge (DSBoK™) is a data science knowledge framework through which expert professionals have been tested for their extensive knowledge and expertise in job roles like data scientists, data analysts, and big data engineers.
DASCA-DSBoK™ is one of its kind. It entails the robust Essential Knowledge Framework (EKF™) of DASCA.
The combined approach of DASCA-DSBoK™ and DASCA- EKF™ emits a powerful combination for data science professionals looking to get into advanced data science or big data job roles worldwide.
All in all, DASCA big data frameworks focus on providing a reputable platform for recruiters and big data educators, to develop robust learning and hiring foundation.

The big takeaways of DASCA-DSBoK™ and DASCA- EKF™

DASCA- EKF^TM determines the critical areas to serve multiple big data professionals to achieve professional excellence in the domains they’ve chosen.

Data science knowledge offered by DASCA is accounted to be an esteemed and an unbiased platform that offers a vendor-neutral global system to assess the suitability of individuals looking to take up big data job roles.

Thus, aiming at two major objectives: –

1. For professionals in data science – as big data becomes a moving target and the exponential growth; DASCA-EKF^TM aims at providing a structured approach through the vigorous coursework curated by some of the best experts from the current tech industry. This enunciates potential areas that are required for taking a plunge in the data science field, while not ignoring the job growth and level of performance.

2. For potential employers – however, for employers, DASCA-EKF^TM intends to provide a reliable certification platform toward a holistic big data structure that organizations look forward to adopting. The areas of intent include multiple professional practices in big data engineering, big data analytics, and data science.

The defined framework for different job roles is based on parameters such as – the “Expert Level, Professional Level, Functional Level, and Knowledge Level Legend.”

Big data analyst

Big data value-chain, industry applications – professional level
Critical elements of big data strategy and management ecosystem – professional level
Data science programming and engineering – functional level
Big data analytics – expert level
Data science professions, workplace, and career environment – expert level

Big data engineer

Big data value-chain, industry applications – functional level
Critical elements of big data strategy and management ecosystem – functional level
Data science programming and engineering – expert level
Big data analytics – functional level
Data science professions, workplace, and career environment – expert level

Data scientist

Big data value-chain, industry applications – expert level
Critical elements of big data strategy and management ecosystem – expert level
Data science programming and engineering – professional level
Big data analytics – expert level
Data science professions, workplace, and career environment – expert level

Why chose DASCA’s knowledge framework?

You’re looking to make big data successful in enterprise organizations, how do you plan on moving ahead if you don’t have a well-structured framework to follow?

DASCA- EKF^TM was framed after rigorous research that involved multiple senior recruiters, technology experts, evangelist, data science professionals working for leading big data solution providers, and platform developers from across the globe.

What’s extraordinary about DASCA- EKF^TM?

EKF^TM addresses 30 core topics across 5 knowledge dimensions as mentioned above. As a result, worldwide advocacy programs that have partnered with DASCA highly propose professionals turn to DASCA- EKF^TM. As such that they will have a convenient and well-structured roadmap to plan their professional development journey and accomplish a long-lasting business value.

Many organizations are keen to get started in big data to provide business solutions but are unsure when to hit the right trigger.

DASCA- EKF^TM takes an overview of the current scenario and provides potential solutions, which is one of the critical areas of concern in the world today.

What’s your big data framework? How do you plan to manage this superfast job market?

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