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 228

Hadoop PostgreSQL MySQL Relational Database 228

Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

Data Storage 187

Data Storage Big Data Hadoop Datasets 187

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 254

Hadoop Data Collection Cloud Technology 254

Snowflake

NOVEMBER 26, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. Today we’re focusing on customers who migrated from a cloud data warehouse to Snowflake and some of the benefits they saw. million in cost savings annually.

Data Warehouse 105

Data Warehouse Cloud PostgreSQL Hadoop 105

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Big data processing is crucial today. Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy.

Hadoop 237

Hadoop Big Data Data Analytics Data Process 237

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? What is Hadoop.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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 225

Hadoop Management Data Engineer Data Engineering 225

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights. How Does Uber Know Where to Go?

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

Uber Engineering

JANUARY 26, 2023

We recently containerized Hadoop NameNodes and upgraded hardware, improving NameNode RPC queue time from ~200 to ~20ms – A 10x improvement! With this radical change, Uber’s Hadoop customers are happier and admins rest more at night.

Hadoop 105

Hadoop Data 105

Uber Engineering

OCTOBER 27, 2024

Ready to boost your Hadoop Data Lake security on GCP? Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage!

Cloud Storage 75

Cloud Storage Google Cloud Data Lake Hadoop 75

Team Data Science

SEPTEMBER 1, 2020

"Since I started exploring Data Engineering, it has been overwhelming. All the technology and Data Science hype. So here is the trend analysis on the topic of Big Data. If you look at this, you can see that a few years ago, everyone was talking about Big Data and how Big Data revolutionizing everything.

Data Science 130

Data Science Hadoop Kafka Big Data 130

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science 251

Data Science Data Cloud Computing Deep Learning 251

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The idea is to create a living reference about Data Engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Introduction. 7,500-11,500. 8,500-14,500. 5,500-9,000.

Hadoop 86

Hadoop Cloud AWS Utilities 86

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Monte Carlo

APRIL 28, 2025

Different teams love using the same data in totally different ways. Thats where data dictionary tools come in. A data dictionary tool helps define and organize your data so everyones speaking the same language. A data dictionary tool helps define and organize your data so everyones speaking the same language.

Metadata 52

Metadata Hadoop Data SQL 52

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data projects are notoriously complex.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Data Engineering Podcast

MARCH 24, 2024

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. Data lakes are notoriously complex. Your first 30 days are free! Want to see Starburst in action? Can you describe what the focus of Dagster+ is and the story behind it?

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Knowledge Hut

MAY 20, 2024

The enterprise data warehouse (EDW) is the backbone of analytics and business intelligence for most large organizations and many midsize firms. The downside of many relational data warehousing approaches is that they’re rigid and hard to change.

Hadoop 52

Hadoop Big Data BI Business Intelligence 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. Ozone Namespace Overview. import boto3.

Data Science 113

Data Science Cloud Hadoop Metadata 113

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 Engineering 248

Data Engineering Data Engineer Engineering Data 248

Snowflake

SEPTEMBER 14, 2023

More than 50% of data leaders recently surveyed by BCG said the complexity of their data architecture is a significant pain point in their enterprise. Your technology stack should accommodate growth—in data volumes as well as in your business. It should foster collaboration across functions.

Data Architecture 122

Data Architecture Architecture Hadoop Data Warehouse 122

Pinterest Engineering

JULY 25, 2023

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. The result is a multi-tenant Data Engineering platform, allowing users and services access to only the data they require for their work.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Podcast

JUNE 23, 2024

Summary Data lakehouse architectures have been gaining significant adoption. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What are the benefits of embedding Copilot into the data engine? When is Fabric the wrong choice?

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision. Enter the ELT.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Ripple Engineering

JULY 9, 2024

Introduction: Embracing the Future with Ripple's Data Platform Migration Welcome to a pivotal moment in Ripple's data journey. As leaders at the intersection of blockchain technology and financial services, we're excited to share a transformative step in our data management evolution.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

Data Engineering Podcast

APRIL 2, 2023

Summary The data ecosystem has been building momentum for several years now. As a venture capital investor Matt Turck has been trying to keep track of the main trends and has compiled his findings into the MAD (ML, AI, and Data) landscape reports each year. As your business adapts, so should your data.

Hadoop 130

Hadoop Machine Learning Python Architecture 130

Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?

Big Data 98

Big Data Technology Hadoop NoSQL 98

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Monte Carlo

OCTOBER 31, 2024

The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

Big Data Tools 242

Big Data Tools Big Data Datasets Data 242

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Christophe Blefari

JANUARY 20, 2023

Summer in coming ( credits ) Hey, new Friday, new Data News edition. Thank you for every recommendation you do about the blog or the Data News. The current state of data This week Benjamin Rogojan livestreamed an online conference featuring awesome data voices: state of data infra.

Google Cloud 130

Google Cloud Data Hadoop Machine Learning 130

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Big Data Datasets 52

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100