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Everything that you need to know to master a career in Big Data

Check out technologies and courses that will help to build up your Big Data career

It’s estimated that there are over 12.000 vacancies in the technology sector in Ireland right now. There is no doubt that the tech sector suffers from a talent shortage all over the world. Big Data or Data Science is one of these areas. The novelty of the term doesn’t help either, which means that we will witness the market literally run to get IT Pros to fill the open opportunities. If we consider that 90% of the data available today was generated in the last 2 years, it’s not difficult to predict the future, it will take some time to have a new bunch of professionals qualified in Bid Data.

Big Data in a Nutshell

Firstly, let’s clarify that the concept of Big Data it has been around for decades. More recently it was possible to see the theory migrating to practice and the market could realise how useful and important this concept is. Big Data refers basically to the enormous amount of data available, which are analysed computationally to reveal trends, patterns and predict behaviour. Basically, every department in a company holds some sort of data and rely on it to proceed their daily activities.

These data came from different sources, such as transactions, log data, emails, subscriptions, HR, social media, audio, photos, videos, etc. To process this huge amount of information and get useful resources from it, skilled analytics professionals are required. They know how to manipulate the data easily and how to use the right tool to convert it in knowledge, which will impact marketing campaigns, recruitment processes, business decisions, and more.

As the market gets more competitive and grows fast, data cannot be ignored, every single piece of information that can lead to close a deal is important. The possibilities with data are endless, when manipulated properly, it can offer advantageous insights and add value to the business.

How to Build a Big Data Career

As most of the IT paths there isn’t a specific degree which can help you to start a Big Data career, but of course there are some educational backgrounds, which can help. Everything in an analytical or mathematics-oriented field such as statistics, computer science, math, information management, finance or economics is an excellent foundation for a big data prosperous career.

The fastest way to build up your Big Data skills to make the most of the avalanche of new opportunities is thought IT technical courses and certifications. Below we listed specific technologies and courses, which can help you to achieve your Big Data goals.

Hadoop: It’s an open source software framework for running applications and storing data provides massive storage and processing power to handle large quantities of data.

Courses: Check below some courses that cover Hadoop content.

SQL Database & Querying Skills: Many organizations rely on SQL databases to store and organize their data. Data professionals must be able to manage SQL data warehouses and extract the information they need using advanced SQL queries.

Courses: Check below a list of courses which conver SQL content.

Microsoft: Microsoft offers a host of data science tools and services that can be used to process and analyse big data. The list of Microsoft courses oriented to Big Data and Machine Learning keeps growing every semester, it’s worth to keep an eye on them frequently.

Courses: Check below the list of Microsoft courses convering Big Data.

Soft Skills

Data professionals need to build up their soft skills as well, as most of the time they are involved in the business development too. Despite all the technical background that they need to develop, it’s essential to build up soft skills through some training and practise. We listed below the soft skills courses recommended for big data professionals.

Big Data Roles

There are a couple of options for professionals specialised in Big Data, according to level of expertise and field. We listed below the most common ones in Ireland and the average wage per year in 2018. Check it out and decide which is the best one for you. The wages are based on data collected by the website irishjobs.ie.

Database Administrator

Database administrators are responsible for the integrity, performance and security of a database. Their duties include everything from planning databases to troubleshoot and monitore them to ensure data security. Average wage: (50 – 75k) Dublin.

Database Developer

Database developers modernize, upgrade and design databases. They may eliminate inefficient coding to improve database performance and monitor, troubleshoot and debug database issues. Average wage: (45 – 60k) Dublin.

Data Engineer

There is significant overlap between data engineer and data scientist roles. Data scientists are heavily involved in using the data infrastructure, but they aren’t responsible for maintaining it. Data’s engineers are focused on the products that support data scientists’ work. They design and manage how data is housed and build scalable, high-performance infrastructure that delivers cohesive information from raw data sources. Average wage: (55 – 80k) Dublin.

Data Analyst / Data Scientist

After the database is housed, grouped and managed, it’s time to analyse it. That’s where big data analysts come in. Data analysis is one of the more common big data occupations. Data analysts collect, analyse and perform statistical data analysis, working with large volumes of data to turn it into business insights that their team members can use. Average wage:  (55 – 80k) Dublin.

Data Architect

Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way. Average wage: (75 – 95k) Dublin.

Machine Learning Software Engineer

A machine learning (ML) developer is an expert on using data to training models. The models are then used to automate processes like image classification, speech recognition, and market forecasting. Often there is some conceptual overlap or even conflation with the roles of data scientist or artificial intelligence (AI) engineer. A machine learning developer produces a tailor-made solution for each problem.  Average wage: (55 – 85k) Dublin.

*The article above is based on the information provided here.

At New Horizons Ireland, our team is ready to provide the best career advice to you. Talk to one of our Account Managers to unlock the opportunities to achieve your career goals. If you aren’t sure which one is the best path for your needs, you can book your free audit with one of our certified instructors.

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