A First Look at Big Data Apache Flink! There is abundance of interest in learning how to analyze streaming data in large-scale systems, partly because there are situations in which the time-value of data makes real-time analytics so eye-catching. But gathering in-the-moment insights made possible by very low latency applications is just one of the […]
3 Solutions for Big Data’s Small Files Problem ! In this we will be discussion on the efficient solutions to the “small files” problem. And what is a small file in a Big Data Hadoop environment? In the Hadoop world, a small file is a file whose size is much smaller than the HDFS block […]
Tuning Handbook of Apache Kafka! We all know the power and advantages of Apache Kafka. It is publish-subscribe messaging system which basically has three major components Apache Kafka Consumer Apache Producer Apache Kafka Broker This doc is all about how we can achieve maximum throughput while planning to have Kafka in production or in POCs. […]
Self-Learn Yourself Scala in 21 Blogs – #6 Blog 6 – Recursion and Tail Recursion in Functional Programming. Missed the previous blogs have a quick look with Self-Learn Yourself Scala in 21 Blogs (#1, #2, #3, #4, #5). In this blog let’s understand the recursion and tail recursion in functional programming. Recursion is frequently used […]
Top 11 Apache Hadoop YARN Frameworks Part of the core Hadoop project, YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform, unlocking an entirely new approach to analytics. YARN is the foundation […]
Scalable Apache Spark Solution to Big Data Secondary Sort Problem! – Part 2 In Part -1, we have discussed about the Spark solution to Secondary for larger data sets. Now let’s deep dive in Choice #2 Choice #2: If we have smaller data set then choice will fit, like read and buffer all of the […]
Scalable Apache Spark Solution to Big Data Secondary Sort Problem! – Part 1 In Big Data era the secondary sort problem is relates to sorting values associated with a key in the reduce phase. It can be called as value-to-key conversion. The secondary sorting technique will help us to sort the values in ascending or […]
Understand Kappa Architecture in 2 minutes What is Kappa Architecture ? Kappa architecture makes all the data processing in Near Real Time or Streaming mode, which in simple terms removing the batch layer from Lambda Architecture makes it a Kappa Architecture, to know quickly about lambda Architecture visit Understand Lambda Architecture in 2 minutes. Evolution […]
Relationship between MapReduce, Spark, YARN, and HDFS ! In Big Data era Hadoop is the de facto standard for developing of big data applications by using MapReduce framework. And Hadoop is composed of one or more master nodes and any number of slave nodes depends up on the data needed. Hadoop simplifies distributed applications by […]
Understand Lambda Architecture in 2 minutes What is Lambda Architecture ? Lambda architecture which provides us a combined solution of realtime data with batch data. What is the Need for Lambda Architecture ? lambda Architecture was implemented mainly due to the Latency provided by the Map reduce paradigm, where the batch views was created on […]
Self-Learn Yourself Apache Spark in 21 Blogs – #8 In this blog let us discuss on How to loading data, what is Lambdas, How to do Transforming Data and more on Transformations. And want to have quick read on the other blogs in this learning series. Apache Spark can load from any input sources like […]
Self-Learn Yourself Scala in 21 Blogs – #5 Blog 5 – Does functional programming matters and what are monads? Missed the previous blogs have a quick look with Self-Learn Yourself Scala in 21 Blogs (#1, #2, #3, #4). In this blog let’s understand for Scala developers does the functional programming matters and also what is […]
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