January 21, 2020
Analytics has now become one of the rapidly evolving industries in the 21st century. The constant rise in the demand for Analytics is encouraging companies to come forward todeveloping tools with various functionalities for this purpose. Now, let’s take a look at the most in-demand open-source or user-friendly data analytics tool in 2020.
R programming is one of the most popular tools in use for carrying out statistics and data modeling operations. This is well compatible to run across multiple platforms like UNIX, Windows, and Mac OS. R programming presents its users with the facility to automatically install all packages as per user-requirement.
Python is of the best-preferred programming languages for Data Analytics operations. Python is an open-source platform, which is the presence of thousands of libraries that are very flexible to carry out analytics operations. Its programming syntax is which is easy to read, write, and maintain. Some of its libraries like Scikit-Learn, TensorFlow, Matplotlib, Pandas, etc. are ideal for carrying out machine learning and data visualization operations. Just like R, Python is well compatible to run across several platforms.
Tableau is the best data visualization software that is widely used by analytics & most of the Data Scientists. Tableau makes it easy to connect with a data source such as Excel, corporate Data Warehouse, etc. Its advanced dashboard helps in creating attractive visuals of the insights from the data.
Qlikview helps in delivering the users with faster & accurate results for the operations related to in-memory data processing. One of the best features of Qlikview is that it supports business intelligence operations & data visualization, with data being compressed to almost 10% of its original size.
Apart from these there, are several other tools like Apache Spark, Rapid Miner, KNIME, and more. Gain hands-on knowledge towards working on all these prominent Data Analytics tools with the help of Analytics Path advanced Data Science Training In Hyderabad program. The expert trainers here will help you in gaining real-world expertise in Data Analytics by making you work on live industry projects & case studies.
January 7, 2020
Experts have coined the present 21st century as the age of analytics. Analytics technologies like Augmented Analytics, Continuous Intelligence and Explainable Artificial Intelligence (AI) ar among the rapidly advancing analytics technologies at the present time.
As per the view of the experts, the ongoing digital disruption has presented the enterprises with an unprecedented opportunity. The enormously growing Big Data along with powerful processing capabilities enabled by the cloud has now made it possible to unleash the full potential of AI.
Now, let’s give you a clear idea about the top trends in analytics technologies.
Augmented analytics is being considered as the next big industry revolution in the field of data and analytics. By making use of advanced AI & ML models, it determines & transforms how analytics content is developed, consumed and shared.
Experts are of the opinion that by 2020, augmented analytics will become a dominant force that will rule the analytics and BI industry. This is the right time for the Data and analytics leaders to leverage real-world skills in augmented analytics so as to prepare their career for the future.
Augmented Data Management
Augmented data management is now playing a crucial role in the process of converting metadata from being used for audit, lineage and reporting only, to powering dynamic systems. It is slowly transforming into a primary driver for all AI/ML.
Augmented data management makes use of Machine Learning & AI engines to make enterprise information management categories become self-configuring and self-tuning. It also helps in automating most of the manual tasks.
Continuous intelligence is on its way towards becoming a major part of the business development process by working on real-time context data to improve decisions.
With Continuous Intelligence, businesses can now integrate real-time analytics within a business operation, successfully interpret with the present and past data to prescribe actions in response to events. It enhances the overall decision-making process with real-time analytics.
Prepare yourself for these future technologies by leveraging the knowledge of real-time skills & attributes with the advanced Data Science Training in Hyderabad program by Analytics Path.