Analytics Vidhya

FEBRUARY 2, 2023

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

Hadoop 230

Hadoop Big Data Data Analytics Data Process 230

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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 185

Data Storage Big Data Hadoop Datasets 185

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 82

Hadoop Data 82

Knowledge Hut

DECEMBER 28, 2023

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. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Datasets Big Data 52

Team Data Science

SEPTEMBER 1, 2020

So, let's bring Hadoop into play here. Everyone suddenly started talking about Hadoop. Everyone should learn Hadoop. There was a time when people said, "Okay, let's look at Hadoop and become a Hadoop expert. There was a time when people said, "Okay, let's look at Hadoop and become a Hadoop expert.

Data Science 130

Data Science Hadoop Kafka Big Data 130

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 57

Cloud Storage Google Cloud Data Lake Hadoop 57

Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. They eventually merged in 2012.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Christophe Blefari

JANUARY 20, 2024

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. In order to understand today's data engineering I think that this is important to at least know Hadoop concepts and context and computer science basics.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

MAY 20, 2024

Enter Hadoop , which lets you store data on a massive scale at low cost (compared with similarly scaled commercial databases). That sounds great, but where do you find qualified people who know how to use Pig, Hive, Scoop and other tools needed to run Hadoop?

Hadoop 52

Hadoop Big Data BI Business Intelligence 52

Cloudera

JUNE 13, 2024

The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. But, let’s make one thing clear – we are no longer that Hadoop company. But, What Happened to Hadoop? This was the gold rush of the 21st century, except the gold was data.

Hadoop 108

Hadoop Big Data Banking Insurance 108

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Data Engineering Podcast

JUNE 23, 2024

Links Microsoft Fabric Ahana episode DB2 Distributed Spark Presto Azure Data MAD Landscape Podcast Episode ML Podcast Episode Tableau dbt Medallion Architecture Microsoft Onelake ORC Parquet Avro Delta Lake Iceberg Podcast Episode Hudi Podcast Episode Hadoop PowerBI Podcast Episode Velox Gluten Apache XTable GraphQL Formula 1 McLaren The intro and (..)

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Cloudera

NOVEMBER 7, 2023

Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics. Bucket layouts provide a single Ozone cluster with the capabilities of both a Hadoop Compatible File System (HCFS) and Object Store (like Amazon S3).

Systems 111

Systems Hadoop Unstructured Data Media 111

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Pinterest Engineering

JULY 25, 2023

In this post, we focus on how we enhanced and extended Monarch , Pinterest’s Hadoop based batch processing system, with FGAC capabilities. In the next section, we elaborate how we integrated CVS into Hadoop to provide FGAC capabilities for our Big Data platform. QueryBook uses OAuth to authenticate users.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Data Engineering Podcast

FEBRUARY 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Your host is Tobias Macey and today I'm reflecting on the major trends in data engineering over the past 6 years Interview Introduction 6 years of running the Data Engineering Podcast Around the first time that data engineering was discussed as (..)

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Cloudera

JUNE 2, 2021

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. In Ozone, HDDS (Hadoop Distributed Data Storage) layer including SCM and Datanodes provides a generic replication of containers/blocks without namespace metadata. var/lib/hadoop-ozone/scm/ozone-metadata/scm/(key|certs).

Metadata 95

Metadata Hadoop Certification Algorithm 95

Christophe Blefari

MARCH 1, 2023

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. In this resource hub I'll mainly focus on dbt Core— i.e. dbt. First let's understand why dbt exists. This switch has been lead by modern data stack vision.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Knowledge Hut

MAY 2, 2024

Compatibility MapReduce is also compatible with all data sources and file formats Hadoop supports. Spark is developed in Scala language and it can run on Hadoop in standalone mode using its own default resource manager as well as in Cluster mode using YARN or Mesos resource manager. Spark is a bit bare at the moment.

Hadoop 96

Hadoop Scala Datasets Java 96

Data Engineering Podcast

MARCH 24, 2024

If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Team Data Science

MAY 23, 2020

You can run it on a server and you can run it on your Hadoop cluster or whatever. Especially working with dataframes and SparkSQL is a blast. What is a Zeppelin? A Zeppelin is a tool, a notebook tool, just like Jupiter. And it can run Spark jobs in the background. Advantages of Zeppelin The nice thing about it is that you have your notebook.

Hadoop 130

Hadoop Data Engineering Data Engineer Coding 130

Ripple Engineering

JULY 9, 2024

We recently embarked on a significant data platform migration, transitioning from Hadoop to Databricks, a move motivated by our relentless pursuit of excellence and our contributions to the XRP Ledger's (XRPL) data analytics. High maintenance costs and a system that struggled to meet the real-time demands of our data-driven initiatives.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB R (Programming) 98

Cloudera

OCTOBER 15, 2021

In this blog post, we will look into benchmark test results measuring the performance of Apache Hadoop Teragen and a directory/file rename operation with Apache Ozone (native o3fs) vs. Ozone S3 API*. We ran Apache Hadoop Teragen benchmark tests in a conventional Hadoop stack consisting of YARN and HDFS side by side with Apache Ozone.

Cloud 92

Cloud Hadoop Data Analytics Metadata 92

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Systems 92

Systems Hadoop Metadata Telecommunication 92

Data Engineering Podcast

JANUARY 21, 2024

Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Knowledge Hut

MAY 2, 2024

For the package type, choose ‘Pre-built for Apache Hadoop’ The page will look like the one below. Step 6: Spark needs a piece of Hadoop to run. For Hadoop 2.7, Step 2: Once the download is completed, unzip the file, unzip the file using WinZip or WinRAR, or 7-ZIP. Add %SPARK_HOME%bin to the path variable.

Java 98

Java Hadoop Scala SQL 98

Jesse Anderson

APRIL 10, 2024

In this episode, I interview Michael Drogalis, the founder and CEO of ShadowTraffic where we talked about the early Hadoop era and how he saw the need for Kafka in the industry. And just like that, we’re down to the 10th episode of Unapologetically Technical!

Hadoop 100

Hadoop Kafka Software Engineer Software Engineering 100

Jesse Anderson

FEBRUARY 6, 2024

We go in-depth into Streambased. We cover how it works and the ease of use.

Hadoop 100

Hadoop Kafka Data Warehouse Engineering 100

Christophe Blefari

SEPTEMBER 28, 2023

The era of Big Data was characterised by Hadoop, HDFS, distributed computing (Spark), above the JVM. We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. Microsoft logo still standing over the years.

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Data Engineering Podcast

FEBRUARY 19, 2023

Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

IT 147

IT Data Lake Metadata Data Warehouse 147

Cloudera

OCTOBER 5, 2021

This means many manually implemented Ranger HDFS policies, Hadoop ACLs, or POSIX permissions created solely for this purpose can now be removed, if desired. Instead, it generates a mapping that allows the Ranger Plugin in HDFS to make run-time decisions based on the Hadoop SQL grants.

Hadoop 102

Hadoop SQL Database Accessible 102

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Apache Sentry is a role-based authorization module for specific components in Hadoop. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Hadoop 83

Hadoop SQL Database Kafka 83

Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

MAY 3, 2024

Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Spark standalone node cluster can be installed on the same nodes and configure Spark and Hadoop memory and CPU usage accordingly to avoid any interference. Basic knowledge of SQL.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Data Engineering Podcast

APRIL 2, 2023

To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links MAD Landscape First Mark Capital Bayesian Learning AI Winter Databricks Cloud Native Landscape LUMA Scape Hadoop Ecosystem Modern Data Stack Reverse ETL Generative AI dbt Transform Podcast Episode Snowflake IPO Dataiku Iceberg Podcast (..)

Hadoop 130

Hadoop Machine Learning Python Architecture 130