Top 12 excuses for why our big data isn’t paying off Dear Data Community, recently I read a book from Arcadia Data, which they talked about they reasons & excuses for why the big data fails. Yes, we the big data is momentum, which brings many insights and intelligence for the enterprise. But however few […]
Top 150 Big Data & Cloud Computing Terminologies for Data Professional Big Data + Cloud Computing Glossary for Community Say Hi to Henry the owl! Henry, the smartest and wisest of all, is the Big Data and Cloud expert who has gained his knowledge by surfing the clouds his entire life . Being a curious Owl, […]
Step By Steps for deploying an Hello World, APP on Google Cloud Platform Container using Docker & Kubernetes
Step By Steps for deploying an Hello World, APP on Google Cloud Platform Container using Docker & Kubernetes ! The name Kubernetes originates from Greek, meaning helmsman or pilot, and is the root of governor and cybernetic. K8S is an abbreviation derived by replacing the 8 letters “ubernete” with “8”. Kubernetes is an open-source platform […]
“The Top 10 Container Orchestration tools” This time in the “The x Series of blog”, we love to bring “The Top 10 Container Orchestration tools”. And now what is container orchestration ? In Development and Quality Assurance (QA) environments, we can get away with running containers on a single host to develop and test applications. […]
Getting Started with Google Cloud Platform ! Last month got a chance to attend Bengaluru Google Cloud OnBoard, instructor led enablement event for Google Cloud Platform(Big Data). Big Data on GCP is simply superb, must try once. And presenting the prepared Getting Started with Google Cloud Platform artifact for our handy reference. Below are the quick […]
Top 10 Reasons to Run Hadoop in the Public Cloud ! Hadoop ecosystem in the public cloud means, which it is running Hadoop clusters on hardware offered by a cloud service provider. And this practice is business as usual compared with running Hadoop clusters on our own hardware, called on-premises clusters or “on-prem”. But installing […]
Big Data Stack 2.0 and Beyond! The Google File System (GFS), MapReduce, and Bigtable are Googles & data industries Big Data revolution, which constructs Big Data Stack 1.0. Dough Cutting actually integrated the above released concepts into a tool called Hadoop. GFS + MapReduce + Bigtable > HDFS + MapReduce + HBase; which is together […]
Ten Fascinating Things from Google Cloud Next 2017 ! In San Francisco last week at Pier 48, Google Cloud Platform (GCP) executives are holding a user conference to introduce products and services they hope will help make the case for choosing Google in the cloud. I missed this year, but thanks to internet of world, where […]
Cloud computing is the buzz and hype, and however the cloud computing is mandate for all the IT and data people. And however before we can decide on any cloud model, we need to determine what the ideal cloud service model is for our business. And it will help us to cut through all the […]
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 […]
High Level Framework of Big Data Graph Databases! In Big Data world, it was very much clear that the connected data to store and processing the data was first challenge. And the first ideation is to replace and leverage the tabular SQL Semantic with the graph-centric model. And then the graph is new to big […]
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 […]
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