Padmini blogs

Apache Hadoop is the most popular big data tool. Hadoop provides the world's most reliable storage layer. Some of the most important features that make this tool the most suitable for processing large volumes of data are: Open source According to Hadoop training in Bangalore, Apache Hadoop is an open source project which means that your code can be modified according to the business requirements. Distributed processing As data is stored distributed in HDFS throughout the cluster, the data is processed in parallel in a cluster of nodes. Fault tolerance  This is one of the most important features of Hadoop. By default, 3 replicas of each block are stored in the cluster in Hadoop and can also be changed according to the requirement. Then, if any node falls, the data from that node can be easily retrieved from other nodes with the help of this feature. Nodes or tasks failures are automatically recovered by the framework. This is how Hadoop is fault tolerant. Rel...

When we talk about data science, data mining and artificial intelligence which is one of the technologies that are changing our lives without seeing in practice how this happens. It is quite complex to find information on the application of this technology to our day today. These days data science is used in different industries. In marketing, it is not only about owning the information, but also about interpreting it and knowing how to connect it with the clients' preferences to create identification with the brand. There are other cases where this technology is used in the creation of inventories so as not to have unnecessary supply and wasted space. In the field of finance, it reduces risks and something important is its use in the selection of personnel, optimizing the hiring process seeking loyalty in future employees. A practical example of Data Science: Today I want to tell you a practical example of how in homie.mx, we are using data science to convert an ou...

8 reasons why Big Data is best for your career One of the themes of the business world that is expanding the most in recent years due to its practical applications in the business sector are the handling of large amounts of data. For this reason, specific training in the subject is essential to develop in a professional manner and with the theoretical and practical knowledge corresponding to this work niche, and the best thing that can be done is to study after completing training from India's largest E-learning, big data on everything, but with more applications within this field. Reasons to study Big Data : It is essential to know how to interpret the data and how to work with them to get to know how the market behaves. For this reason, in the fairs of studies what is demanded to a large extent is Big Data course, Big Data master and other training related to this specialty. Big Data The reasons for studying Big Data remotely or in Big Data & Busines...

Big data, a business technology used to understand the profile of a business, needs and feelings of customers with respect to the selling of products or services, allow professionals to adapt their strategies while interacting with the clients. As per the Big Data training in Bangalore , the most important features of big data are defined in terms of 5 magnitudes or 5 V’s of big data. Not all companies will opt for the same methodology regarding development and creation with big data technologies. However, there is a possibility of using these technologies in all sectors to enhance decision making and performance in the market.  Big Data features: Tremendous the volume of Data: The concept of volume is very variable and every day that passes we rise what we can consider as large volumes of data. However, when talking about Big Data it refers to volumes that exceed the capacity of conventional software , so that the data cannot be handled and managed. In general, wh...

Streaming technologies are leading the Big Data world now. It becomes complex for the users to choose one. Apache Storm and Spark are the two most popular real-time technologies on the list. Let’s compare Apache Storm and Spark on the basis of their features, and help users to make a choice. The purpose of this article Apache Storm Vs Apache Spark is not to make a judgment about one or other, but to study the similarities and differences between the two. In this blog, Spark training in Bangalore will cover the differences between Apache Storm and Apache Spark. Let’s start first with the introduction to each, after that, we will move to the comparison of Apache Storm Vs Spark on the basis of the features of both. Apache Storm Apache Storm is an open-source, fault-tolerant, scalable, and real-time stream processing computation system. It is the framework for real-time distributed data processing. It focuses on event processing or stream processing. Storm actualizes the fault-t...

There is no doubt that we have entered the era of big data, which has opened a large number of opportunities for a new generation of value. The phenomenon of Big Data has been characterized by its 4'V namely: volume, speed, variety and veracity in the data and that are created at higher rates.It has been observed that more than 80% of the world's data has only been created in recent years. For some, data has become a subtle force and has affected their own daily life. For others, who may work with huge amounts of data in their daily lives, an image of a giant wave comes to their minds. According to Big Data training in Bangalore , Big Data has acquired its importance with the advent of the social web (social networks) and the emergence of interconnected mobile devices that for 24 hours are creating a world in which there is data of all kinds of information, especially personal. Smartphones and other connected devices have allowed us to control and share everything from t...

Python is the most popular language in the IT industry. Many people are depending on Python language for almost all domains in IT like web development , OpenStack, VMware, cloud computing and many more. Here are the advantages of the Python language are the following: 1. Simple and Fast: This language greatly simplifies programming "makes you adapt to a programming language mode, Python offers you a pattern". It is a great language for scripting if you require something fast to execute, with a few lines already solved. Python is an interpreted programming language (not necessary to compile it) where it favors syntax. That is, its writing and reading are closer to human language than to that of the machine. Certain lines will be practically in English prose. For example: "if 'piggy' in zoo: print (zoo)". That translated could be like: "If a pig is in the zoo, print zoo." Easy and fun. The order that Python maintains, is what its users like...