5 Big Data Analytics tools [2020]
Data is driving 2020 and will continue to do so in the times to come. You will see the growth in the use of data, and thereby there is going to be a demand for big data experts who can analyze this data and derive useful solutions. Whether we use mobile phones, laptops, or even the infotainment systems, everything is driven data. With the burgeoning increase in this, there is also a steady rise in the demand for professionals who have big data analytics certification. This skilled workforce is actually responsible for deriving useful information from the scattered data.
So, how do big data experts work? Well, they have a set of tools and software that will eventually help them aptly analyze and derive useful information from it. Well, this information is useful for companies. In this blog, we will be unveiling five such useful big analytics tools that you must learn as a part of your big data online training, but before that, let’s have a quick look at some statistics.
- Around 1.2 trillion searches are made every year on Google.
- Facebook users and send more than 31 million messages
- American companies spent more than $57 billion in 2017 for gathering data.
- In 2012, Gartner forecasted that big data would give rise to 6 million jobs in 2015, and practice these numbers outgrew what Gartner had predicted.
- 5 exabytes of information was created from the start till 2003, and now this much data is created in 2 days globally.
With these glimmering figures, we can say that data is surely an obsession that is gripping every company, and at the same time, it is also paving the way for new developments. But this data is scattered, and for it to be useful, it is important to filter and scan it. This is where Big Data comes into the picture. Big Data Analytics is a hot topic of discussion for many, and several tools are simplifying the task for big data experts.
Big Data Analytics Tools that you need to learn in 2020:
- Xplenty: One of the first tools that you need to learn in Xplenty. It is a cloud-based ETL solution providing simple visualized data pipelines for automated data flows through a wide range of sources and destinations. This is an easy to use platform which allows you to clean and transform data while adhering to the compliance and best practices.
Key features:
- It is a code-free, on-platform data transforming and cleaning tool
- Flexibility in sending data to database, salesforce and data warehouse
- You can easily pull dat from any source
- Higher security. It offers field-level data encryption and masking to adhere to compliance requirements
- Customer-centric with round the clock customer support
Skytree- If you want a tool that offers accurate predictive machine learning models and, at the same time, easy to use, then you must consider using Skytree. This
Skytree is a big data analytics tool that empowers data scientists to build more accurate models faster. It offers accurate predictive machine learning models that are easy to use.
Key features:
- Offers scalable algorithm
- AI for data scientists
- It enables the data scientists to visualize and understand what works behind the screen of every ML decision
- It is easy to adopt GUI
- Model interpretability
- GUI access
- Written in Java
Splice Machine- It is also a big data analytical tool. The tool is portable and can be used across public clouds like Azure, Google, AWS.
Key features:
- Highly scalable and enables applications at every scale
- It automatically evaluates every query to the distributed HBase regions
- Lesser risk
- Faster deployment
- Consume fast streaming data and deply machine learning models
Elasticsearch- It is a JSON-based big data search engine. It is a distributed, Restful search which is used for solving a number of cases. It offers maximum reliability, horizontal scalability, and reliability.
Key features:
- It combines the different type of searches
- It makes use of standard Restful APIs and JSON
- It builds and maintains clients in different languages Python, NET, Java, and Groovy
- It offers enhanced experience with better security, monitoring, and reporting
- It also offers machine learning features
- You can do a real-time search using Elasticseaerch-Hadoop
IBM SPSS Modeler- It is a predictive big data analytics platform. It has a range of advanced algorithms and analysis techniques.
Key features:
- Faster and better analysis of structured and unstructured data
- Makes use of the intuitive interface
- You have the option of choosing between on-premises, hybrid and cloud deployment option
- It aids faster selection of the best performing algorithm based on model performance
All these big data analytics tools are a must for every big data analytics learner. Any individual who wishes to become a big data analytics expert must undergo big data analytics training where they learn about these tools. Several other tools are there in the market, and a good big data analytics certification program will introduce you to the same.
Conclusion- Global Tech Council is offering the online big data analytics certification program. This is big data analytics online training program that will help you get acquainted with all the necessary tools and become an expert in this field. So grab this opportunity today and become a big data analytics expert.