Data Science And Big Data Tools
The most pervasive and fundamentally necessary thing in today’s computer-driven world is data. It is utilized for everything from business to travel, shopping, and entertainment. Nearly 2.5 million Tera Bytes (TB) of data are being produced, according to sources. This data may be in either structured or unstructured form. All of the data needs to be formatted appropriately in order to be used properly. Business data must primarily stick to a uniform format in order to be given to clients in a way that is understandable. The analysis is needed once the data has been properly formatted so that a person can also grasp the analytics.
There are many tools and technologies that are used to convert the data into the proper format and also for real-time analytics and for visualization.
1. Apache Hadoop
It is an open-source tool that is used to handle big data. It is a Java-based tool that works on the concept of clusters where we can efficiently run the data processing on the system. It also gives us the advantage of running data parallelly, along with cross-platform support. It also offers high scalability where data can be divided into smaller parts and stored easily. It can also be efficiently executed with the help of MYSQL.
2. Apache Spark
It is one of the best frameworks that is used for processing large datasets. Compared to Hadoop, it can process data faster in real-time. It gives the advantage of using languages that are according to the latest trends. It also gives various options for APIs which are easy to implement. In parallel, it can also run on the cloud and has a feature of real-time streaming. As it is providing record-breaking results, most of the organizations that are considering data as important fuel are moving towards this framework.
3. Power BI
It is of the most important tool for business because it gives clear picture of analysis of data that can be easily communicated without any heavy technical skills. It also helps the data scientist to clean and transform data in order to present them graphically or in the form of charts. It also provides a chance to create AI and ML models, along with providing quick insights into information. It has components like Power Query, Power View, and many other components which give the chance of various customization options that can be done according to the client’s taste.
As the market is being dominated by data science., all these technologies are the focus of the entire organization since they can transform big data into something manageable and straightforward.
