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Courses from Best Instructors having Hands-on Experience

Spark Streaming on the EMR Cluster

Introduction With the accumulation of data into the Databases, over time velocity of data generation is also increasing day-by-day. As we were struggling to deal with the volume of the data. The new obstacle was emerging in front of us i.e. Streaming Data. Now dealing with streaming data was a...

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Creating Amazon EMR Cluster

Introduction Out of having 3 major cloud providers i.e. GCP, AWS, and Azure. AWS is the oldest player in this game and the most trusted one. It has a well-equipped infrastructure to support Big Data, Apps, Machine Learning, etc. workloads. Now let’s explore about implementing Big Data Framework...

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​Exploring Data with BigQuery

Introduction We all are living in an Era where we are generating PBs of data every second. Data is the new gold, after which almost all of the enterprises are running after. Insights from data, which is structured, semi-structured and unstructured can change the business decisions completely. For...

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How to prepare for Google Data Engineer Certification?

Introduction Data Engineers are the new Avengers in this v4.0 IT World. They not only work on building Data pipelines from Ingestion to Visualization. Data Engineers also build and operationalize data processing systems, Machine Learning Models and ensure solution quality. For developing their...

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Big Data Processing using Google Dataproc

Introduction At present, about 2.5 quintillion bytes (2500 PetaBytes) of data is produced by humans every day (Source: Social Media Today). Processing this much quantile data is a headache. This is where BIg Data Processing comes into the play and acts as a painkiller for this headache. Although...

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Real-Time Clickstream Analysis using KsqlDB

Clickstream plays an important role in analyzing customer behavior. It also helps organizations in making future business strategies. So, let’s discuss real-time clickstream analysis using one of the most prominent and iconoclast component of Kafka Ecosystem i.e. KsqlDB. As it not only provides...

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QuickStart Guide for Installing Confluent Platform having Apache Kafka using Docker

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 providing additional tools, services, support etc. Here is a short introduction to Kafka. If you...

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Getting started with Sqoop on Google Cloud Platform

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) Basic working example of Sqoop What is Sqoop? It is a utility which is built to transfer the bulk data between HDFS and databases...

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Introduction to Delta Lake

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 by providing update functionality but the overall process was messy. Databricks (the company behind Spark) came up with a unique...

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PySpark and Snowflake Integration

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 distributed processing tool since 2014. As we proceed further, size and amount of data is generated at much higher speed. Our systems don't have...

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