Top 10 tools & programming language used for data analytics

Are you tired of your digital gadgets knowing things about you that you haven’t even shared with your friends and family? Have you been wondering about ways you can track the smart digital assistance that loads your mind with additional information?

The internet of things (IoT) such as laptops, tablets, and smartphones, are loaded with publicly operated clouds, controlled by social media giants like Facebook, Google, Apple, Microsoft, and Twitter. What’s the secret behind handling data in this tech-savvy world and is it even safe to use data limitlessly?

According to the data growth statistics published by the Techjury, over 1.7 MB of data was created every second and consumed by us regularly in 2020! Did you know that with the current rate of usage in mobile networks and Wi-Fi, 200+ zettabytes of data will be stored in the cloud by 2025?

These alarming stats highlight the need for data analytics tools that can be used to evaluate the data integration requirements of the future.

In this blog post, we have touched upon some of the big data analytics tools that can help simplify the otherwise overpopulated data pipeline and warehouse, for smooth access to data sources:

1. R

A clear knowledge of this popular open-source programming language of the computing environment can provide you with one of the best data visualisation and analysis experiences. Multinational companies such as Firefox and ANZ are known to be really enjoying processing data using R’s recently developed features.

2. Python

This object-oriented programming language is considered the fastest-growing in the world of computing today. From advanced numerical analysis using data frames to innovative data manipulations, you can almost do anything with this data analysis tool!

3. Tableau

Quite similar to the Python data analytics software, the tableau was created to minimise the requirement for end-user performance optimisations. Citibank, Lincoln, Barclays, and Amazon are some of the top companies to use this business intelligence to obtain a good grounding of the pool of data they accumulate each day.

4. Apache Spark

It allows you to interact with an open-source community via an interface for programming, which is primarily used for analysing streaming data. What’s the best part? You get to share information not just on mobile platforms, but also on those within a browser or embedded in an application.

5. SAS

This form of business intelligence can provide you with a range of applications for self-service analytics, with built-in collaboration features. It is a powerful visual analytics software that is used by companies such as Novartis, Covance, and Deloitte, for reporting clinical research and it’s praised worldwide due to the versatility of its comprehensive and flexible platform.

6. Microsoft Excel

Excel is probably one of the oldest standard analytics tools of this lot, which has undergone decades of programming development to become well suited for analysing big data. It falls under the category of free analytics software that will never disappoint you in providing a clear interpretation of your data.

7. Power BI

This Microsoft product enables employers to expand their business intelligence capabilities using its interactive visualisations programme. You get to combine a group of dashboards, connecting your data to a plethora of sources, thereby sharing information across the organisation.

8. Talend

An extraction, Transformation, and Loading (ETL) tool that unites Data Integration and governance to deliver trusted data. Talend is known for its ability to deliver completed and clarified data whenever the need arises. It has accelerated the journey towards maintaining data quality, cloud API services, providing big data integration, as well as preparing data for cataloguing.

9. Splunk

This energetic software is based on infrastructure-based and predictive pricing that can search, analyse and visualise all machine-generated data. Companies such as Intel, Lenovo, Otto group and Domino’s make use of its features to detect and diagnose issues with clear visibility, as well as to streamline the entire security stack.

10. Rapid Miner

This is the best-known analytics technology that can transform data before the running of predictive analytics, attracting companies like Hewlett Packard enterprise, BMW, and Sanofi to implement its machine learning and processing models. Full-time coders and BI users have started integrating this big data analytics tool to prepare data and develop model operations.

Data analytics tools are an important aspect of most modern businesses, but getting your hands on the right equipment may seem to be a challenge without having knowledge of the latest tech available and understanding how to use it.

If you are passionate about understanding how data analytics software functions, the Diploma in Data Analytics from the London School of Business and Finance in Singapore might be an option to advance your academic career.

Become an expert at leveraging data analysis tools to protect sensitive information about yourself as well as the company you're engaged with, by applying to the Diploma programme now.