Author name: Aditi Malhotra

Aditi Malhotra is the Content Marketing Manager at Whizlabs. Having a Master in Journalism and Mass Communication, she helps businesses stop playing around with Content Marketing and start seeing tangible ROI. A writer by day and a reader by night, she is a fine blend of both reality and fantasy. Apart from her professional commitments, she is also endearing to publish a book authored by her very soon.

Learning Hadoop for Beginners

How to Start Learning Hadoop for Beginners?

Big Data / By

Technology has changed its landscape. Everything you may hear today is revolving around some big terms like big data, cloud, AI, data science, etc. To put it in another way IT professionals are following the trajectory of these booming technologies. Big Data is something that has taken a high momentum in last two years. And when we talk about big data, Hadoop is the ultimate term that comes to mind. No other big data processing tool has gained such market popularity than this open source tool from Apache. However, Hadoop is a growing field with continuous upgradation and added features […]

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Big Data Jobs for Freshers

How to Start A Career in Big Data as a Fresher? [Updated]

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Big Data is one of the most rewarding careers with a number of opportunities in the field. Organisations today are looking for data analysts, data engineers, and professionals with Big Data expertise in a big number. The need for analytics professionals and big data architects is also increasing. In this article, you will learn how to start big data career and get your hands on big data jobs for freshers. Forbes has predicted that Hadoop market will grow to a 99 billion dollar market by the year 2022 growing at a 42% CAGR. Hence, there is a growing interest of

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Apache Spark Limitations

What are the Limitations of Apache Spark?

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Apache Spark is one of the popular and widely used Big Data tools among the industries. Apache Spark has become a buzz in the industry and is very trending nowadays. But the industries are shifting towards Apache Flink – the 4th Generation of Big Data due to Apache Spark limitations. Want to know more about Apache Spark? Learn Apache Spark with this Guide, here is everything you need to know about Apache Spark as a beginner! In this article, we will describe Apache Spark limitations in detail. Let’s start with the Apache Spark introduction first! Apache Spark Introduction Apache Spark

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Hadoop Predictive Analytics

How can Hadoop Help a Data Scientist in Predictive Analysis?

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Big Data Analytics has obtained a new height with Hadoop. This open source big data processing platform helps in capturing, storing, and processing the massive volumes of unstructured data. The real-time data has gained enormous credibility with its revolutionary contribution in business. Hadoop predictive analytics is today’s real-time recommendation to reduce cost and market analysis for better performance. Want to get one level up in your Hadoop career? Here is the list of Best Hadoop Certifications in 2018. Choose one and get certified now! Hadoop predictive analytics is the advanced analytics method that provides better insights on the customer, potential risks, product portfolio

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big data terms

101 Big Data Terms You Should Know

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With the huge amount of data that is generated every day, it becomes important to understand the complexity of Big Data. If you are planning to enter in the Big Data planet, you should be familiar with the Big Data terms. These terms will help you dive deep into the world of big data. So, let’s start with the term Big Data itself – An accurate definition of “Big Data” is quite hard to clinch as business professionals, projects, practitioners, and vendors take it in a different way. So, generally speaking, big data is: large/big data sets (large dataset refers

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nosql vs sql

NoSQL vs. SQL – How NoSQL is Better for Big Data Applications?

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Data has become an ever-expanding array of information. It is collected as user information, geographic location data, sensor-generated data, social media feed, and in many other forms. This massive set of unstructured data which is commonly known as big data has now become the backbone of analysis for many mission-critical applications. When it comes to the question of storing such huge data, there are two ways to do it – either in relational databases or in a mapping way. For the first way, SQL is the best fit, whereas for the second one NoSQL is the answer. In other words,

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Learn Apache Spark: A Comprehensive Guide

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This is the comprehensive guide that will help you learn Apache Spark. Starting from the introduction, I’ll show you everything you want to know about Apache Spark. Sounds good? Let’s dive right in.. What is Apache Spark? Why there is a buzz all around about this technology? Why is it important to learn Apache Spark? This definite guide will help you to get the answer to all of these questions. 2011, Yes! It was the year when I first heard of the term “Apache Spark”. It was the time when I developed an interest in learning Scala; it is the

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Top 3 Big Data Programming Languages

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What are the most popular and useful big data programming languages? Maybe, it is the most pertaining question for any aspiring big data programmer to begin with big data languages. Not to mention, there are many big data programming languages for data science on the list. Before we give our opinion on the best programming language for Big Data, it is good to know about the market survey a little bit. Recommended Reading: A Complete List of Big Data Blogs Top 3 Big Data Programming Languages As per the data science community KD Nugget’s yearly poll on “What programming/statistics, languages are

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Big Data Analytics

Why is Big Data Analytics So Important?

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Data, in today’s business and technology world, is indispensable. The Big Data technologies and initiatives are rising to analyze this data for gaining insights that can help in making strategic decisions. The concept evolved at the beginning of the 21st century, and every technology giant is now making use of Big Data tools and technologies. Big Data refers to vast and voluminous data sets that may be structured or unstructured. This massive amount of data is produced every day by businesses and users. Big Data analytics is the process of examining large data sets to underline insights and patterns. The

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Big Data Tools

Top 10 Open Source Big Data Tools in 2024 [Updated]

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Today almost every organization extensively uses big data to achieve the competitive edge in the market. With this in mind, open source big data tools for big data processing and analysis are the most useful choice of organizations considering the cost and other benefits. Hadoop is the top open source project and the big data bandwagon roller in the industry. However, it is not the end! There are plenty of other vendors who follow the open source path of Hadoop. Now, when we talk about big data tools, multiple aspects come into the picture concerning it. For example how large

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