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“Gaining insights from massive datasets” is the need of the hour. But most business leaders find it challenging. It requires businesses to transition to
Introduction When it comes to processing, especially Big Data the first name that came to our mind is Spark. Spark is the primary and world widely used
Learning Objectives: What is Sqoop? History of Sqoop Sqoop working and its Architecture Why to use Sqoop? Installation of Sqoop on Google Cloud Platform(GCP)
Setting up your own Big Data Lab for Certification Preparation | Substitute of Cloudera Quickstart VM Cloudera has discontinued Quickstart VM for running a
This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have
Kafka is usually compared with Flume as both these technologies can be used in Data Ingestion phase of a Data Pipeline. In this article,
Real time analytics can he performed with both KSQL and KStreaming on Kafka (an event streaming platform) but How do we decide which one
Introduction Data Lakes built using Hadoop framework were lacking a very basic functionality i.e. ACID compliance. Hive tried to overcome some of the limitations
Introduction Nowadays whenever we think of ingesting/storing/processing/analysing streaming data, there is a leading Event Streaming Platform i.e. Apache Kafka. Confluent complements Apache Kafka by
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