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 […]
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 […]
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 […]
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 […]
Sqoop Use Cases Introduction: Sqoop was originally developed by Cloudera You can import data from relational Database to HDFS as well export it back to relational database from HDFS Sqoop supports many RDBMS and not limited to just MySQL etc. it also supports Legacy systems like Mainframes DB2. Sqoop Use cases: ELT: Extract Load Transform […]
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 […]
Top 16 Hadoop Built-in Ingress and Egress Tools ! Hadoop has revolutionized data ingestion, data processing and enterprise data warehousing, but its explosive growth has come with a large amount of uncertainty, hype, and confusion. With this blog, enterprise decision makers will receive short quick insights on what all the 16 Hadoop build-in Ingress and […]
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. […]
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 […]
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 […]
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