Big Data Analytics Trends You Must Know

A few years ago big data just an essence nobody could have understood. But now Big data is an extended term with its massive functionalities in the field of data analytics. Big data analysed for the pattern on the tremendous amount of data set to reveal hidden motif, correlation and other insights. The big data is in trend these days as most of the organisations are adopting the technology to achieve the desired outcome.

 Machine Learning and Artificial Intelligence :

The introduction of the algorithm to the trained machine can now deliver a better response to our queries. The program used in ML learns from enormous databases. This database contains both structured and unstructured information such as audio, video, images, text etc. Machine learning is the concern of artificial intelligence which deals with the natural intelligence showed by the human and other animals for explicit programming. The innovative works performed by machine learning and artificial intelligence attracts delivers the extraordinary products and services in the market attracting a considerable investment. The products like Lex, Alexa, Einstein Analytics etc., are attracting more companies to join the league. Enterprises are spending a massive amount on accomplishing these products.

Cloud Computing Era:

Most of the organisations are migrating their business operations to the cloud with its stupendous services for providing infrastructure, memory, platform, software etc. Big data requires the quick processing and accessibility to data for analysis. Cloud computing offers very scalable and reliable environment for analysing data. According to a survey conducted by the International Data Corporation (IDC), it has been estimated that the overall cloud computing market will reach up to $554 billion by the year 2021 which is more than double of the revenue generated in the year 2016.

Most of the data stored on the cloud due to its extraordinary features for supporting data backup, recovery, log maintenance, snapshot, migration etc. Cloud service providers offer AI and ML-based frameworks and tools with APIs to smooth your work performance. Cloud services like RDS, Cosmos DB, Redis Cache, Glacier etc., provide a solution for the storage. But what does happen with the final unstructured data stored in the database? The introduction of Big Data and Hadoop clarifies the results obtained by analysing these data.

 Data Visualization:

The data discovery and its visual representation would be the part of future enhancement. Data visualisation does not only refers to the data analysis and their interrelation, but it also represents the organisation’s intellect and intuition. The BI professionals these days feel that visualisation would become the next trend in data analysis as it reveals the critical behaviours of a company.

 Growing Internet of Things:

More and more devices are connecting to the internet every day. Starting from the lights to the security cameras every device is connected to a network generating the real-time data in every minute. It has been predicted that the global IoT market will grow up to $457 billion by the year 2020 which was $157 billion in the year 2016. The smart inventions through IoT such as intelligent vehicles, smart home etc., produces an enormous amount of data for the acknowledgement which is stored in the databases.

Big data with its vast application coverage area in healthcare, government sector, manufacturing, avionics, automobiles, education etc., uncovers the path to success. Around 2.5 quintillion bytes of data is generated every day. Applying big data analytics technologies like Hadoop, presto etc., will result in providing a bright future with the simplified working algorithm in any sector.