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Category: Apache Spark
To gain a better understanding of the Importance of In-Sync Replicas (ISR) in Apache Kafka, let’s take a closer look at the replication process within a Kafka broker. Replication involves maintaining multiple copies of data across several brokers. By having identical copies of data on different brokers, we ensure high availability in case of broker … Continue reading Understanding In-Sync Replicas (ISR) in Apache Kafka
In today's digital age, data is a crucial asset for businesses to make informed decisions. However, analyzing huge volumes of data can be a daunting task without the right tools. This is where big data analytics tools come into play. They help businesses process, store, and analyze large datasets to gain insights that can be … Continue reading 10 Most Popular Big Data Analytics Tool
As we’re growing with the pace of technology, the demand to track data is increasing rapidly. Today, almost 2.5quintillion bytes of data are generated globally and it’s useless until that data is segregated in a proper structure. It has become crucial for businesses to maintain consistency in the business by collecting meaningful data from the … Continue reading 10 Most Popular Big Data Analytics Tools
Hadoop: It is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. /qlik-certification/ Hadoop is built in Java, and accessible through many … Continue reading Difference Between Hadoop and Apache Spark
Apache Spark vs Hadoop Spark and Hadoop are both the frameworks that provide essential tools that are much needed for performing the needs of Big Data related tasks. Of late, Spark has become preferred framework; however, if you are at a crossroad to decide which framework to choose in between the both, it is essential … Continue reading Apache Spark vs Hadoop
The term big data has created a lot of hype already in the business world. Hadoop and Spark are both big data frameworks; they provide some of the most popular tools used to carry out common big data-related tasks. In this article, we will cover the differences between Spark and Hadoop MapReduce. Introduction Spark: It … Continue reading Hadoop MapReduce vs. Apache Spark
Introduction Industry estimates that we are creating more than 2.5 Quintillion bytes of data every year. Think of it for a moment – 1 Qunitillion = 1 Million Billion! Can you imagine how many drives / CDs / Blue-ray DVDs would be required to store them? It is difficult to imagine this scale of data … Continue reading Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)
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