The Artistic Guide to Big Data: Hadoop/Spark We love community. Hence in this new year 2018 as a first initiative, we are sharing the coffee char ideas on the “The Artistic Guide to Big Data: Hadoop/Spark”. The idea is all about bringing artistic touch of explanation to big data concepts. We are not talking of […]
Is the Docker and Container are same? I thrilled in this new year with the learning curve of cloud native and containerization technologies. We’ve many blogs, few books, but I asked my team mates and community friends Whats is Docker? and What is Container? For that I got different set of answers, but if in […]
25 Free Must-Read Books in New Year 2018 on Open Source, Architecture, Cloud, AI, and Big Data. Happy New 2018, this is my special post because just now I completed 100th post called “Apache Spark is Superstar; but it’s Supernova on Azure for Big Data Analytics Initiatives” and this is 101st on the curation of […]
How to Ingest HDFS in JSON format using Apache Sqoop ? by NS Saravanan In current project use lambda architecture, so Data from sources system extracted in two ways, Real time streaming OR speed layer Batch process or Bach Layer Speed layer implemented using Attunity > Kafka > Spark streaming . The out of Spark stream […]
The 4 Key Concepts in the Anatomy of an Apache Spark Job! For Big Data & Cloud Community members Apache Spark is Awesome to handle any workloads such as Batch, Streaming, Real-Time, and Ad-hoc. However, to fine tune and optimize of our Apache Spark Applications we need to have a grip on the Apache Spark […]
The 10 Misconceptions of iPaaS ( Integration Platform as a Service) Dear Data Community, On last month, my friend invited for a O’Reilly webcast on Integration Platform as a Service (iPaaS), by Leon Stigter, TIBCO Sr. Product Manager and Developer and API Enthusiast. In this cast they have covered; What is an iPaaS? Why would […]
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 […]
The Bot 101 [ Part 4 ] Dear Bot community members, thanks very much reading the last part in the series of four called The Bot 101. And if you missed the last three, you can find it by clicking The Bot 101. And in this Part 4, we will deep dive on the Bot […]
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, […]
The Bot 101 [ Part 3 ] Dear Bot community members, thanks for reading and sharing your valuable feedbacks on the Bot 101 – Part 1 & 2; where we talked about CUI, VUI, bots evolution, types of bots (personal bots, text bots, biz bots, and more), bot platforms (Slack, Facebook, Alexa, Kik, Email), Bot […]
Top 5 Focuses to Improve Cloud-Native Application Availability ! Inspired from book – Architecting for Scale by Lee interested? questions? feedback? Let us have email@example.com. Please do subscribe to www.dataottam.com to keep yourself trendy on ABCD of Data (Analytics, Big Data, Bots, Cloud Computing, Cognitive Computing Digital).
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 […]
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The Artistic Guide to Big Data: Hadoop/Spark We love...