AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Model training and scoring was performed either from Jupyter notebooks or through jobs scheduled by Apaches Oozie orchestration tool, which was part of the Hadoop implementation.

Data Science 80

Data Science AWS Hadoop Data Scientist 80

phData

NOVEMBER 8, 2024

These systems are built on open standards and offer immense analytical and transactional processing flexibility. Adopting an Open Table Format architecture is becoming indispensable for modern data systems. Schema Evolution Data structures are rarely static in fast-moving environments. Why are They Essential?

Data Lakes 52

Data Lakes Data Warehouse Azure Database 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. Thats where data engineering tools come in!

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

MARCH 5, 2025

From the Early Days of Data Science to Todays Complex Ecosystem Marcks journey into data science began nearly 20 years ago when the field was still in its infancy. In the early 2010s, the rise of Hadoop and cloud computing transformed the industry, introducing data practitioners to new challenges in scalability and infrastructure.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52

Dataconomy

MARCH 19, 2025

Data science combines various disciplines to help businesses understand their operations, customers, and markets more effectively. What is data science? Data science is an interdisciplinary field that utilizes advanced analytics techniques to extract meaningful insights from vast amounts of data.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 91

Dataconomy

MAY 26, 2025

Big data engineers are essential in today’s data-driven landscape, transforming vast amounts of information into valuable insights. As businesses increasingly depend on big data to tailor their strategies and enhance decision-making, the role of these engineers becomes more crucial.

Big Data 91

Big Data Big Data Data Engineer Data Engineering 91

Analytics Vidhya

OCTOBER 23, 2020

Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.

Hadoop 289

Hadoop Big Data Big Data Data Engineer 289

Analytics Vidhya

OCTOBER 28, 2020

Overview Get familiar with Hadoop Distributed File System (HDFS) Understand the Components of HDFS Introduction In contemporary times, it is commonplace to deal. The post Hadoop Distributed File System (HDFS) Architecture – A Guide to HDFS for Every Data Engineer appeared first on Analytics Vidhya.

Hadoop 271

Hadoop Data Engineer Data Engineering Data Engineering 271

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Big data is the collection of data that is vast. The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya.

Hadoop 367

Hadoop Python Big Data Big Data 367

Analytics Vidhya

MAY 27, 2022

Every time you put on a dog filter, watch cat videos or order food from your favourite restaurant, you generate data. Imagine how much data millions of other people are doing the […]. The post An Introduction to Hadoop Ecosystem for Big Data appeared first on Analytics Vidhya.

Hadoop 376

Hadoop Big Data Big Data Data Science 376

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Different components in the Hadoop Framework Introduction Hadoop is. The post HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK appeared first on Analytics Vidhya.

Hadoop 326

Hadoop Data Warehouse Data Science Analytics 326

Analytics Vidhya

FEBRUARY 27, 2023

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. Due to its lack of POSIX conformance, some believe it to be data storage instead. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya.

Hadoop 318

Hadoop Analytics Analytics Apache Hadoop 318

Analytics Vidhya

OCTOBER 9, 2022

Introduction Apache Hadoop is an open-source framework designed to facilitate interaction with big data. Still, for those unfamiliar with this technology, one question arises, what is big data? Big data is a term for data sets that cannot be efficiently processed using a traditional […].

Hadoop 269

Hadoop Apache Hadoop Big Data Big Data 269

Analytics Vidhya

SEPTEMBER 14, 2022

Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis. The post Frequent Itemset Mining Using MapReduce on Hadoop appeared first on Analytics Vidhya.

Hadoop 288

Hadoop Data Science Analytics Analytics 288

Analytics Vidhya

FEBRUARY 5, 2023

Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more. Big data […] The post A Beginner’s Guide to the Basics of Big Data and Hadoop appeared first on Analytics Vidhya.

Hadoop 290

Hadoop Big Data Big Data Analytics 290

Analytics Vidhya

JULY 25, 2022

Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System). Big Data Sqoop can also be […].

Hadoop 353

Hadoop Big Data Big Data Data Engineering 353

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

Data Engineer 318

Data Engineer Data Engineering Data Engineering Data Engineering 318

Analytics Vidhya

DECEMBER 4, 2020

Overview Know which are the top 9 skills required to be a data engineer Find suitable resources to learn about these tools By no. The post 9 Must-Have Skills to Become a Data Engineer! appeared first on Analytics Vidhya.

Data Engineer 305

Data Engineer Data Engineering Data Engineering Data Engineering 305

Analytics Vidhya

JULY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction MapReduce is part of the Apache Hadoop ecosystem, a framework that develops large-scale data processing. Other components of Apache Hadoop include Hadoop Distributed File System (HDFS), Yarn, and Apache Pig.

Apache Hadoop 397

Apache Hadoop Hadoop Data Science Algorithm 397

Analytics Vidhya

JUNE 24, 2023

He is an experienced data engineer with a passion for problem-solving and a drive for continuous growth. Thus, providing valuable insights into the field of data engineering. Introduction We had an amazing opportunity to learn from Mr. Pavan.

Data Engineer 290

Data Engineer Data Engineering Data Engineering Data Engineering 290

Analytics Vidhya

JANUARY 2, 2023

While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […]. The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya.

Data Engineer 329

Data Engineer Data Engineering Data Engineering Data Engineering 329

Analytics Vidhya

MAY 5, 2022

Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. Hadoop is a powerful platform for supporting an enormous variety of data applications. Both structured and complex data can […].

Hadoop 208

Hadoop Data Science Analytics Analytics 208

Analytics Vidhya

NOVEMBER 12, 2020

The post Data Engineering for Beginners – Partitioning vs Bucketing in Apache Hive appeared first on Analytics Vidhya. Overview Understand the meaning of partitioning and bucketing in the Hive in detail. We will see, how to create partitions and buckets in the.

Data Engineer 276

Data Engineer Data Engineering Data Engineering Data Engineering 276

Analytics Vidhya

JANUARY 11, 2023

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems.

Apache Hadoop 337

Apache Hadoop Hadoop Data Warehouse Analytics 337

Analytics Vidhya

MAY 12, 2022

Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. appeared first on Analytics Vidhya. The Apache Flume tool is designed mainly for ingesting a high volume […].

Hadoop 392

Hadoop Data Science Analytics Analytics 392

Analytics Vidhya

DECEMBER 1, 2020

The post 15 Basic And Highly Used Hive Queries that All Data Engineers Must know appeared first on Analytics Vidhya. Overview Get to know 15 basic hive queries including- Simple selects ? selecting columns Simple selects – selecting rows Creating new columns Hive Functions.

Data Engineer 278

Data Engineer Data Engineering Data Engineering Data Engineering 278

Analytics Vidhya

JANUARY 31, 2023

It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.

Hadoop 326

Hadoop Analytics Analytics Apache Hadoop 326

Data Science Dojo

JULY 6, 2023

Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Analytics Vidhya

FEBRUARY 1, 2023

Introduction In this constantly growing technical era, big data is at its peak, with the need for a tool to import and export the data between RDBMS and Hadoop. Apache Sqoop stands for “SQL to Hadoop,” and is one such tool that transfers data between Hadoop(HIVE, HBASE, HDFS, etc.)

Hadoop 306

Hadoop SQL Big Data Big Data 306

Analytics Vidhya

FEBRUARY 14, 2023

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment.

Hadoop 316

Hadoop Analytics Analytics Apache Hadoop 316

Analytics Vidhya

JUNE 30, 2022

Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master. The post Partitioning and Bucketing in Hive appeared first on Analytics Vidhya.

Data Warehouse 271

Data Warehouse Hadoop Data Engineer Data Engineering 271

Analytics Vidhya

OCTOBER 28, 2020

The post Getting Started with Apache Hive – A Must Know Tool For all Big Data and Data Engineering Professionals appeared first on Analytics Vidhya. We will learn to do some basic operations in Apache Hive. Introduction Most of.

Big Data 270

Big Data Big Data Data Engineer Data Engineering 270

Analytics Vidhya

OCTOBER 12, 2022

With the advent of big data, several organizations realized the benefits of big data processing and started choosing solutions like Hadoop to […]. The post A Brief Introduction to Apache HBase and it’s Architecture appeared first on Analytics Vidhya.

Hadoop 353

Hadoop Big Data Big Data Data Science 353

Analytics Vidhya

OCTOBER 10, 2022

Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. appeared first on Analytics Vidhya. Some of you might have also read about Lakehouses.

Data Lakes 350

Data Lakes Hadoop Data Science Analytics 350

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 319

Hadoop Azure Analytics Analytics 319

Analytics Vidhya

MAY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hadoop facilitates the processing of large datasets in a distributed manner and provides the foundation on which other services and applications can be built. MapReduce and HDFS are the two main components of Hadoop.

Hadoop 291

Hadoop Data Science Analytics Analytics 291

Analytics Vidhya

AUGUST 1, 2022

Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases. It is ideal for real-time data processing or […].

Hadoop 360

Hadoop Big Data Big Data Data Science 360