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The Medallion Architecture is a powerful data design pattern that provides a structured approach to organizing data within a Lakehouse. In this article, we’ll explore the key components of the Medallion Architecture and guide you through building your own data pipelines.
In the era of technology, data has become the new currency. Big Data, a term frequently heard across industries, represents the vast expanse of information reshaping our world. The essence of Big Data, its dimensions, real-world applications, and the role of Hadoop Distributed File System (HDFS) in managing its vast scale.
Discover how Delta Sharing revolutionizes data exchange in Databricks. This article breaks down Delta Sharing into easy-to-understand concepts and guides you through its features and setup process. Learn how providers can securely share data, notebooks, and AI models with recipients, regardless of their computing platforms.
This article explains how data engineers can make their work more flexible and efficient using Metadata-Driven Architecture (MDA). It breaks down two methods: one using a central database (good for structured work like in Azure Data Factory) and another using external files (great for collaborative projects, especially with Databricks).
This articel will give you an insight about the differences between RDD,Dataframe and Dataset
In this article, you will learn about user-defined functions in Spark.
In this article, you will learn about Delta Lake and its types.
Trigger jobs when new files arrive in storage container (Azure Blob/AWS bucket)
In this article, you will learn about Spark Logical And Physical Plans.
In this article, you will learn about Unity Catalog in Databricks.
In this article, you will learn about table clone in Databricks.
Photon is a native vectorized engine developed in C++ to dramatically improve query performance.
This article explains about the method for solving the performance issues on stored procedure approach with spark sql
MongoDB has been developed since 2007 by MongoDB. This company was then working on a Cloud computing system, widely distributed data computing, similar to the service Google's Google App Engine. Its first version considered industrially viable was 1.4, in 2010. MongoDB is an open source document-oriented database that provides high performance, high availability, and autoscaling.
Hadoop is an Open Source project managed by Apache Software Fundation based on the Map Reduce principle and Google File System, two Google Corp products. The product is written in Java language. The principle is based on processing distributed over several nodes to drastically increase the computing and storage capacities in order to process very large amounts of data.
Hadoop is a free and open source framework written in Java intended to facilitate the creation of distributed and scalable applications that allow applications to work with thousands of nodes and petabytes of data. Thus each node is made up of standard machines grouped into a cluster.
This article talks about the fundamentals of Kafka along with its architecture.
In this article, you will learn about data pipelines and their different types.
This article explains the concept of Database, Data Warehouse and Data Lake and provides guidance on selecting one of them for your data requirements.
This article lists the top 10 most-read articles of the Big Data category.
In this article we will learn about Big Data and its importance.
This article explains the Hadoop Distributed File System (HDFS).
Explains how predictive analytics uses historical and real-time big data to identify patterns, forecast outcomes, and support business decisions.
This topic is one of the hottest topics trending today. And it is growing day by day. The demand for Data Scientists (Big Data experts) is very high.
We will see how to setup Scala in IntelliJ IDEA and we will create a Spark application using Scala language and run with our local data. I am using an Indian Pin code data to analyze the state wise post office details.
Concepts for handling large volumes of data visually - mobile and web.
Everything on Big Data, not only its articles: the Big Data page →
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