Archana GoyalComparative study of Logging FrameworkChoosing the right logging framework for Java application depends on several factors, including your specific needs, performance…4d ago14d ago1
Archana GoyalData Engineering Series 7: Real time Stream Processing with Spark and KafkaThis is part 7 of Data Engineering series. And in this part, we will discuss about Stream Processing with SPark and Kafka.Stream processing…Jul 6Jul 6
Archana GoyalData Engineering Series 6: Batch Processing with Apache SparkWelcome to Part 6 of my Data Engineering Series. In this part, we will discuss about Batch processing with Spark. Batch processing is a…Jul 6Jul 6
Archana GoyalHow to Choose the Perfect Data Orchestration Tool: A Comparative GuideIn the era of big data, efficient data orchestration is crucial for managing complex workflows, automating data pipelines, and ensuring…Jun 30Jun 30
Archana GoyalImplementing Data Orchestration: A Step-by-Step ScenarioLet’s walk through a scenario to illustrate each step in implementing data orchestration for a data pipeline designed to process customer…Jun 30Jun 30
Archana GoyalData Engineering Series 5— Data OrchestrationWelcome to Part 5 of our 10-part series on Data Engineering concepts. In this installment, we delve into the world of Data Orchestration…Jun 30Jun 30
Archana GoyalData Engineering Series 4 — Data PipelinesWelcome to Part 4 of our 10-part series on Data Engineering concepts. In this installment, we will dive into the world of Data Pipelines…Jun 30Jun 30
Archana GoyalData Pipeline Types, Usecase and Technology with ToolsThis is a continued blog forJun 30Jun 30
Archana GoyalData Engineering Series 3— Data Quality and GovernanceWelcome to Part 3 of our 10-part series on Data Engineering concepts. In this part, we will delve into two critical aspects of data…Jun 29Jun 29
Archana GoyalData Engineering Series 2 — Data Warehousing and Related ConceptsWelcome to Part 2 of our 10-part series on Data Engineering concepts. In this installment, we’ll delve into the fascinating world of Data…Jun 29Jun 29