Scaling Uber’s Apache Hadoop Distributed File System for Growth
Uber Engineering
APRIL 5, 2018
Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.
Top 8 Hadoop Projects to Work in 2024
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?
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
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Understanding User Needs and Satisfying Them
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Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
In this blog post, we will discuss such technologies. 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. Spark is a fast and general-purpose cluster computing system.
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98 Webinars
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
How to learn data engineering
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.
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How to Install Spark on Ubuntu: An Instructional Guide
Knowledge Hut
MAY 2, 2024
Apache Spark is a fast and general-purpose cluster computing system. In this article, we will cover the installation procedure of Apache Spark on the Ubuntu operating system. Prerequisites This guide assumes that you are using Ubuntu and that Hadoop 2.7 is installed in your system. System requirements Ubuntu OS Installed.
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Brief History of Data Engineering
Jesse Anderson
DECEMBER 12, 2022
Google looked over the expanse of the growing internet and realized they’d need scalable systems. 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.
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Apache Hadoop 3.0.0 is Generally Available!
Cloudera
DECEMBER 14, 2017
The Apache Hadoop community recently released version 3.0.0 GA , the third major release in Hadoop’s 10-year history at the Apache Software Foundation. alpha2 on the Cloudera Engineering blog, and 3.0.0 Improved support for cloud storage systems like S3 (with S3Guard ), Microsoft Azure Data Lake, and Aliyun OSS.
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Deployment of Exabyte-Backed Big Data Components
LinkedIn Engineering
DECEMBER 19, 2023
Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. Historically, deploying code changes to Hadoop big data clusters has been complex.
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Unapologetically Technical Episode 8 – Tom Scott
Jesse Anderson
FEBRUARY 6, 2024
Join us as we talk about distributed systems and how he created distributed or what we call the Monte Carlo simulations.
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Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict Schemas of SQL Systems
Rockset
JULY 6, 2022
This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Fixing and rerunning the queries is a time-wasting hassle.
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Data Warehouse vs Big Data
Knowledge Hut
APRIL 23, 2024
In this blog we will explore the fundamental differences between data warehouse and big data, highlighting their unique characteristics and benefits. Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data.
Apache Ozone Powers Data Science in CDP Private Cloud
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. Ozone Namespace Overview. STORED AS TEXTFILE. and Cloudera Manager version 7.4.4.
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Apache Ozone – A High Performance Object Store for CDP Private Cloud
Cloudera
OCTOBER 15, 2021
Apache Ozone has added a new feature called File System Optimization (“FSO”) in HDDS-2939. The FSO feature provides file system semantics (hierarchical namespace) efficiently while retaining the inherent scalability of an object store. which contains Hadoop 3.1.1, We enabled Apache Ozone’s FSO feature for the benchmarking tests.
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Hadoop Developer Job Responsibilities Explained
ProjectPro
SEPTEMBER 14, 2016
A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do? Table of Contents Who is a Hadoop Developer?
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Optimizing HDFS with DataNode Local Cache for High-Density HDD Adoption
Uber Engineering
MAY 24, 2023
This blog post unveils the seamless, exabyte-scale integration of local SSD disks into the Hadoop Distributed File System (HDFS), enabling the utilization of high-density disk SKUs to optimize disk IO and achieving exceptional performance.
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What are the Pre-requisites to learn Hadoop?
ProjectPro
SEPTEMBER 11, 2015
Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? The availability of skilled big data Hadoop talent will directly impact the market.
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Scenario-Based Hadoop Interview Questions to prepare for in 2023
ProjectPro
OCTOBER 31, 2016
Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” were excluded.).
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Top 20+ Big Data Certifications and Courses in 2023
Knowledge Hut
SEPTEMBER 6, 2023
This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. through real-time projects and case studies.
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Is Cloudera Hadoop Certification worth the investment?
ProjectPro
AUGUST 18, 2016
To begin your big data career, it is more a necessity than an option to have a Hadoop Certification from one of the popular Hadoop vendors like Cloudera, MapR or Hortonworks. Quite a few Hadoop job openings mention specific Hadoop certifications like Cloudera or MapR or Hortonworks, IBM, etc. as a job requirement.
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Hadoop Jobs Salary Trends in India
ProjectPro
JUNE 30, 2016
This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.
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Data Engineering Weekly #123
Data Engineering Weekly
MARCH 19, 2023
The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc., Much of it focuses on model training, evaluation, and scoring.
5 Reasons to Learn Hadoop
ProjectPro
MAY 19, 2015
It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?
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Global Big Data & Hadoop Developer Salaries Review
ProjectPro
JUNE 29, 2016
As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.
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Data Engineering Weekly #148
Data Engineering Weekly
OCTOBER 1, 2023
Partitioning : how should we partition our table (in Hadoop)? link] Criteo: Recommender systems need a user model Criteo makes a strong case for recommender system problems as user preference rather than pattern recognition. Learn more and reach out for early access on the blog. link] Sponsored: You're Invited!
Sentry to Ranger – A concise Guide
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.
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Data News — 2 years anniversary
Christophe Blefari
MAY 19, 2023
One day, I decided to save the links on a blog created for the occasion, a few days later, 3 people subscribed. I was coming from the Hadoop world and BigQuery was a breath of fresh air. I even hired 2 awesome interns who helped me on the blog for a few months. Blog subscriptions bring me 300 € / month.
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A Reference Architecture for the Cloudera Private Cloud Base Data Platform
Cloudera
JULY 15, 2021
This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Operating System Disk Layouts.
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Real World Change Data Capture At Datacoral
Data Engineering Podcast
MARCH 22, 2021
For analytical systems, the only way to provide this reliably is by implementing change data capture (CDC). Unfortunately, this is a non-trivial undertaking, particularly for teams that don’t have extensive experience working with streaming data and complex distributed systems. What are the alternatives to CDC?
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Improve Your LinkedIn Profile and find the right Hadoop Job!
ProjectPro
JUNE 17, 2016
” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile. You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. that are usually not present in a resume.
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Maintain Your Data Engineers' Sanity By Embracing Automation
Data Engineering Podcast
JULY 10, 2022
In this episode Chris Riccomini shares his experiences building and scaling data operations at WePay and LinkedIn, as well as the lessons he has learned working with other teams as they automated their own systems. What are the most interesting, innovative, or unexpected ways that you have seen automation of data operations used?
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Functional Data Engineering - A Blueprint
Data Engineering Weekly
DECEMBER 21, 2022
Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. We went through a full cycle that “schema-on-read ” led to the infamous GIGO (Garbage In, Garbage Out) problem in data lakes, as noted in this What Happened To Hadoop retrospect.
Data Serialization Formats with Doug Cutting and Julien Le Dem - Episode 8
Data Engineering Podcast
NOVEMBER 22, 2017
To help other people find the show you can leave a review on iTunes , or Google Play Music , and tell your friends and co-workers This is your host Tobias Macey and today I’m interviewing Julien Le Dem and Doug Cutting about data serialization formats and how to pick the right one for your systems.
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5 Apache Spark Best Practices
Data Science Blog: Data Engineering
JULY 4, 2022
Introduction Spark’s aim is to create a new framework that was optimized for quick iterative processing, such as machine learning and interactive data analysis while retaining Hadoop MapReduce’s scalability and fault-tolerant. Apache Spark is an open-source distributed system for big data workforces.
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5 reasons why Business Intelligence Professionals Should Learn Hadoop
ProjectPro
SEPTEMBER 26, 2014
The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.
Data Engineering Weekly #159
Data Engineering Weekly
FEBRUARY 18, 2024
One can’t deny the role of Redshift in bringing the cloud data warehouse to the masses, starting the end of the Big Data era with Hadoop. The blog narrates how LinkedIn built and scaled a large-scale recommendation system to handle over a billion items while ensuring high relevance and low serving latency.
Five Benefits of Live Faculty Led Hadoop Training
ProjectPro
OCTOBER 9, 2014
Professionals are now availing big data and hadoop training online from various eLearning websites to upgrade their IT skill set. If you are considering of enrolling for big data hadoop online training then here are some benefits of learning hadoop online that will help you decide whether or not this is the best option for you.
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Rockset Architecture Whiteboard Session With CTO Dhruba Borthakur
Rockset
JUNE 14, 2022
Embedded content: [link] We'll be doing more videos like this in the future, so sign up for notices from our blog and join our community so you don't miss them. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. He was also a contributor to the open source Apache HBase project.
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TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18
Data Engineering Podcast
FEBRUARY 11, 2018
In your blog post that explains the design decisions for how Timescale is implemented you call out the fact that the inserted data is largely append only which simplifies the index management. Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? What impact has the 10.0
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15+ Best Data Engineering Tools to Explore in 2023
Knowledge Hut
APRIL 25, 2023
Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Data integration: Data engineers should be able to integrate data from various sources like databases, APIs, or file systems, using tools like Apache NiFi, Fivetran, or Talend.
How to Become Databricks Certified Apache Spark Developer?
ProjectPro
FEBRUARY 21, 2023
This blog explores the pathway to becoming a successful Databricks Certified Apache Spark Developer and presents an overview of everything you need to know about the role of a Spark developer. Apache Spark developers should have a good understanding of distributed systems and big data technologies.
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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector
Cloudera
JANUARY 26, 2022
Virtual machines came to be, and this meant that several (virtual) environments with their own operating systems could run in one physical computer. . The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW.
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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn
Databand.ai
DECEMBER 13, 2022
He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Deepak regularly shares blog content and similar advice on LinkedIn. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.
Cloudera Recognized as 2022 Gartner® Peer Insights™
Cloudera
JUNE 13, 2022
We are excited to announce that Cloudera is named as a 2022 Gartner Peer Insights Customers’ Choice for Cloud Database Management Systems (DBMS). Our primary goal was to expand our Hadoop cluster around the globe, Cloudera’s tools have been integral to meeting our operational goals and maintain our growth velocity.
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When Data Redefines Companies
Cloudera
SEPTEMBER 1, 2021
companies (about two-thirds, according to CIO.com ) are only now getting tuned in to become fully functioning data-driven enterprises by starting new initiatives, scaling up systems, and changing cultures. When fresh new information comes into a system in real time, with the right tools, leadership can: .
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