Database management has always been a hard nut to crack for businesses of all sizes. Today, the world of data science is exploding at a staggering rate with explosive amounts of data being generated every day. Looking at Data Lake’s market size projections from 2024 to 2032 are expected to register a CAGR of over 20.5%. (gminsights.com) With these numbers, the importance of advanced analytics and business intelligence tools is bound to rise. At the same time, the demand for data engineers will skyrocket because they are the ones who manage it. Addressing the urgent need for qualified data science experts, it is time data science aspirants ramp up their skillsets as per the industry needs. This is where a wholesome data science certification can play a role.
As we begin into the realms of data science; you must be inquisitive about the term ‘Data Lakes’ and what the deal with it is. Read on to unfurl everything you need to know about data lakes and their management.
What Is a Data Lake?
Data Lake is a centralized repository that allows all types of data – structured, unstructured, images, videos, audio, etc. to be stored in the same place. It prefers to have everything present in raw form; in other words, Data Lake stores all data in one place ‘as is.’
For data lake management, data engineers design, build, and maintain the pipelines that bring information into data lakes. Business analysts also play a crucial role in ensuring data quality and metadata and its ability to support business objectives.
Data Lake vs Data Warehouse
Like a data lake, a data warehouse is also a centralized location for storing your data. However, the latter has some prerequisites for handling data. Let us look at it with an example.
After shopping in a mall, when we visit the sales counter (point of sale) to make payments for our purchase, we consent to our data being recorded by the system. Once done, that information is distributed to different operational channels for storage.
To analyze this data in a central location, the business must first extract it from different locations, like HR, inventory, sales, etc., and bring it together. Hence, after a thorough extracting, transforming, and loading procedure, the data comes together in a central location – a data warehouse, to conduct business analysis.
Simply put, a data lake opposes the philosophy of a data warehouse. It transforms ‘think first, load later’ to ‘load first, think later.’ Thus, making it easier for business analysts in the data science industry to work with information.
Therefore, with increasing data volume and a rise in technology, a more versatile solution is a data lake. It solves one of the biggest problems of leaving behind or transforming unstructured or semi-structured data by allowing them all.
How Can You Enter the Data Science Industry?
With changes parallel to the rising technology, the data science industry is currently a proliferating career option. Whether you are a fresher or a seasoned professional, this is the best time to develop data science skills. You can get a head-start in the industry with credible data science certifications from the United States Data Science Institute (USDSI®), which ranks highly in the global credentialing arena.
They offer an array of graded data science programs that guarantee skill upgrades and multifold career enhancement. Whether you are a beginner in the industry or a seasoned professional looking for a qualitative level-up, USDSI has a credential for all.
You shall build core data science capabilities, including data mining, data analytics, machine learning, data visualization, DevOps, Power BI, NLP, and other futuristic industry skills, to conquer the field with sheer talent and greater salary prospects.
A Glimpse into Data Science Certifications by USDSI®:
The Certified Data Science Professional (CDSP™) by USDSI®
The workshops in this CDSP™ will allow a fresh undergraduate to develop real-world knowledge of data science project design, development, and delivery. The course will teach you data mining, machine learning, business acumen, advanced big data analytics, etc., on a foundational level.
The Certified Lead Data Scientist (CLDS™) by USDSI®
After meticulous research, USDSI® worked with top faculty members to design a certification covering big data, data analysis lifecycle, machine learning PowerBI, etc This course is ideal for industry professionals who want to upskill their career as data scientists or data engineers., or switch their career into data science.
You will engage in an in-depth analysis of the industry while learning the futuristic trends, advanced fundamentals of data science for a flourishing data science career, and more.
Are You Ready Yet?
The data science industry is trying to make data management easier. It can only achieve this feat with the brilliant minds of data engineers at work. Would you also like to opt for a data science career? As someone starting their journey or already in the industry, this might be the most suitable time for you to invest in learning some data science skills.