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Introduction AWS Elastic MapReduce (EMR) is an AWS service for filtering big data using open-source tools such as Apache Spark, Apache Flink, Trino, Hadoop, Hive, Presto, and many more. It provides a platform to run your applications without thinking much about the management of the underlying infrastructure. AWS EMR is a...
Kafka is a distributed streaming platform designed for real-time data pipelines, stream processing, and data integration. AWS lambda, on the other hand, is a serverless compute service that executes your code in response to events, managing the underlying compute resources for you. In organizations where Kafka plays a central role in...
In the first part of ETL data pipelines, we explored the importance of ETL processes, and their core components, and discussed the different types of ETL pipelines. Now, in this second part, we will dive deeper into some of the key challenges faced when implementing data ETL pipelines, outline best practices to optimize these processes...
In today's data-driven world, businesses rely on timely, accurate information to make critical decisions. Data pipelines play a vital role in this process, seamlessly fetching, processing, and transferring data to centralized locations like data warehouses. These pipelines ensure the right data is available when needed, allowing...
Introduction In today's data-driven world, managing and transforming data from various sources is a very cumbersome task for organizations. Azure Data Factory (ADF) stands out as an extensive and robust ETL and cloud-based data integration service that helps enable businesses to streamline their complex data-driven workflows timely and...
In today's world, handling complex tasks and automating them is crucial. Apache Airflow is a powerful tool that helps with this. It's like a conductor for tasks, making everything work smoothly. When we use Airflow with Docker, it becomes even better because it's flexible and can be easily moved around. In this blog, we'll explain what...
In today's fast-paced digital landscape, businesses thrive or falter based on their ability to harness and make sense of data in real time. Apache Kafka, an open-source distributed event streaming platform, has emerged as a pivotal tool for organizations aiming to excel in the world of data-driven decision-making.In this blog post, we'll...
Introduction In today's data-centric world, making informed decisions is vital for businesses. To support this, Amazon Web Services (AWS) offers a robust data warehousing solution known as Amazon Redshift. Redshift is designed to help organizations efficiently manage and analyze their data, providing valuable insights for strategic...
Data migration is a crucial process for modern organizations looking to harness the power of cloud-based storage and processing. The blog will examine the procedure for transferring information from MongoDB, a well-known NoSQL database, to Amazon S3, an elastic cloud storage solution leveraging PySpark. Moreover, we will focus on handling...
In this blog, I will discuss how Spark structured streaming works and how we can process data as a continuous stream of data. Before we discuss this in detail, let’s try to understand stream processing. In layman’s terms, stream processing is the processing of data in motion or computing data directly as it is produced or...
The conveyance of data from many sources to a storage medium where it may be accessed, utilized, and analyzed by an organization is known as data ingestion. Typically, the destination is a data warehouse, data mart, database, or document storage. Sources can include RDBMS such as MySQL, Oracle, and Postgres. The data ingestion layer...
Innovation is at the center of application development. A lot of established companies as well as startups are investing big money in product ideas that have the potential to solve business challenges. While traditional applications are still in place, new age SaaS companies are developing amazing applications for web and mobile keeping...
