The field of data engineering, data science and analytics hasn’t displayed any sign of slowing down over the past several years. The field continues to grow in popularity, increasing efforts to increase efficiency and effectiveness across various business areas.
A recent study by IDC forecasts that the amount of data worldwide will reach 175 zettabytes in 2025. This will be accompanied by an annual increase of 61. For a better understanding, one zettabyte equals one trillion gigabytes. Then multiply it by 175.
By discovering essential patterns and trends within the vast amounts of data, Experts in data can assist teams in working together, coordinating more effectively, and creating better projects and products.
Take a look at this March 2023 transcript of a live Q&A session hosted by Ciera Lowe, Data Engineering Team Lead at Ocrolus and Dena Wilson, who is a Data Engineer with Pacers Sports and Entertainment; presented by Alison Abbington, Industry Engagement Manager, on behalf 2U, Inc. No matter if you’re starting to get into data science, looking for a new career or advancing the skills you have These two professionals from the industry gave helpful tips to any prospective or existing data expert.
What’s the difference between Data sciences, analytics for data and data engineering? Dena Wilson: It’s all about data. Data analytics is the data’s front-end and data strategy. It provides reports, dashboards and business intelligence. Data engineering is about the movement of data. It involves lots of data pulling from various sources before loading it into a platform which allows data analysis. Data science is an advanced technology currently being developed with artificial intelligence. It primarily focuses on Python, R coding, predictive models, and algorithms.
How do you see your day to you?
Ciera Lowe: A major part of the day is made up of sprints that run scrum/agile. Also, I am the head of product management for the team. I also take part in a lot of gatherings. At present, I don’t code any more. Instead, I’m in meetings with individuals, trying to comprehend their expectations, addressing concerns and transforming them into workable items. Particularly in the field of data, there’s lots of finesse in figuring out what the stakeholders want and are competent enough to write to meet those needs. I’ve worked as a Python developer in and out throughout my career. I picked up SQL in the course of my work before beginning to study Python. My first work was analysing data for hedge funds, in which I could handle complex models that data scientists were working on. During my professional development, I got the opportunity to create entire frameworks myself. My company is currently at the point of hyper-growth, which is why I’ve been meeting with recruiters and the expanding staff I’m managing.
Dena Wilson’s working day involves working on the Azure platform, where we run the data warehouse. I load information from Ticketmaster in which we offer an alcohol and food service. I then pull the data into Salesforce. The majority of my work is integration. We want to know about our customers’ data, such as what they’re spending money on, what they’re spending, and so on. We want to get a full view of our followers. At present, I’m working on designing the structure and the way that information will flow at the fastest speed.
What is the most essential skill for success in every area of information?
Dena Wilson was born in finance, and it served me well. You require the ability to be a natural at critical analysis, which means looking at information in a manner that makes sense. What is most valuable is being in a position to comprehend business, as if you can understand how business functions work, then you know the areas where you could fit and become the most valued. This is where you can add value. You have the ability to fill in a spot in the market that businesses could not comprehend they have. This is when you begin to develop into a leader and provide “wow” occasions to companies.
Ciera Lowe: A single most significant error that people commit is to say that they know data but aren’t aware of the industry. Being interested in the field is essential. For example, it’s about understanding the small business lending market and possibilities in the niche we are filling and working to improve the lives of various demographics and areas that aren’t being considered. There is a genuine interest in my work, and I believe it’s possible to be successful using the data you’re not interested in. On the other hand, Don’t go into a position thinking you’re not interested because once you’re in the job, you’ll be able to discover what piques your curiosity. And, regardless of where you’re located within the data field, make sure you take a moment to check your sanity.
Are there any tips for those new to the field or talent in the early stages regarding bonuses to help them search for work and ways to be noticed in the sea of candidates?
Ciera Lowe has done lots of exercises I have found in programming books. Also, I look for a willingness to roll up your sleeves, put in your job and have a desire to join the team. As a junior employee, it isn’t possible to screen for experience. Therefore, wanting to be able to perform the complicated job to ensure the success of your team is crucial.
Dena Wilson: Choose a subject you can focus on and be a specialist. My personal favourite is the data warehouse. It could be the name of a particular instrument. I would not get caught up in the programming aspect of the process. Instead, I’d like to learn more about concepts and how things operate. Developing your soft skills, such as your personality, is essential today. There was a time when a director would tell me that it’s possible to instruct tech, but you cannot truly teach soft skills. You either possess them or do not.