What is the best big data solution for working with all databases from Splunk ! The answer is Splunk DB Connect! In this blog we will see how the Splunk DB connect helps us to integrate all the databases from Splunk. Splunk DB Connect is the best solution for working with databases from Splunk. It […]
Comparing Architecture Characteristics in Big Data Context! In this blog we’ll explore the differences between microservices and SOA in terms of the defining characteristics of the architecture pattern. In Big Data world, Apache Hadoop has come a long way in its relatively short lifespan. From its beginnings as a reliable storage pool with integrated batch […]
What is Beyond Classic Hadoop? Is it Spark and Flink? In this blog, we will explore the two new big data friends to Hadoop, and they are Apache Spark and Apache Flink. And if we take the Hadoop improvements with the parallel processing MapReduce; speed is very first focus. However, MapReduce is designed and developed for […]
The 7 Habits Of Successful Big Data and NoSQL Projects by Ben Lorica ! Let’s have email@example.com
Big Data Splunk’s Best & Better Practices ! Introduction to Splunk We see servers, devices, apps, logs, traffic, and clouds. We see data, big data, and fat data everywhere. Splunk offers the leading platform for Operational Intelligence. It enables the curious to look closely at what others ignore which is called machine data and find […]
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 […]
The 9 Key steps to implement Big Data DevOps ! Per WiKi Definition: DevOps (a clipped compound of development and operations) is a culture, movement or practice that emphasizes the collaboration and communication of both software developers and other information-technology (IT) professionals while automating the process of software delivery and infrastructure changes. Per Gene Kim(author of The […]
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. […]
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 […]
The Pyramid of Internet of Things (IoT) Alright, what is Internet of Things (IoT) ? How does it differ from Internet of Everything? What is M2M ? All the above queries would be running in your mind if you’re a beginner/newbie to this child protocol. So, the simplest answer is “They all are the same”. […]
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 […]
Step By Steps for deploying an Hello World, APP on Google Cloud Platform Container using Docker & Kubernetes
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