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.
Blog Hadoop Systems 
Apache Ozone – A Multi-Protocol Aware Storage System
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).
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A Flexible and Efficient Storage System for Diverse Workloads
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).
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Global View Distributed File System with Mount Points
Cloudera
DECEMBER 7, 2020
Apache Hadoop Distributed File System (HDFS) is the most popular file system in the big data world. The Apache Hadoop File System interface has provided integration to many other popular storage systems like Apache Ozone, S3, Azure Data Lake Storage etc. There are two challenges with the View File System.
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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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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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Auditing to external systems in CDP Private Cloud Base
Cloudera
MAY 26, 2021
Advanced threat detection – real-time monitoring of access events to identify changes in behavior on a user level, data asset level, or across systems. log4j.appender.RANGER_AUDIT.File=/var/log/hadoop-hdfs/ranger-hdfs-audit.log. The post Auditing to external systems in CDP Private Cloud Base appeared first on Cloudera Blog.
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Addressing the Elephant in the Room – Welcome to Today’s Cloudera
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. We hope to see you there.
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Securely Scaling Big Data Access Controls At Pinterest
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. When building an alternative solution, we shifted our focus from a host-centric system to one that focuses on access control on a per-user basis. We achieved this by creating LDAP groups.
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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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Cloudera vs. Hortonworks vs. MapR - Hadoop Distribution Comparison
ProjectPro
JANUARY 12, 2016
Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.
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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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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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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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Apache Ozone Metadata Explained
Cloudera
JUNE 2, 2021
Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. It can manage billions of small and large files that are difficult to handle by other distributed file systems. For details of Ozone Security, please refer to our early blog [1]. ozone.scm.db.dirs= /var/lib/hadoop-ozone/scm/data.
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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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Getting to Know Hadoop 3.0 -Features and Enhancements
ProjectPro
JUNE 14, 2017
Hadoop was first made publicly available as an open source in 2011, since then it has undergone major changes in three different versions. Apache Hadoop 3 is round the corner with members of the Hadoop community at Apache Software Foundation still testing it. The major release of Hadoop 3.x x vs. Hadoop 3.x
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52 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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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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Why Open Table Format Architecture is Essential for Modern Data Systems
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. In this blog, we will discuss: What is the Open Table format (OTF)? These systems are built on open standards and offer immense analytical and transactional processing flexibility.
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Gartner® Recognizes Cloudera in Critical Capabilities for Cloud Database Management Systems for Operational Use Cases
Cloudera
FEBRUARY 8, 2022
Cloudera has been recognized as a Visionary in 2021 Gartner® Magic Quadrant for Cloud Database Management Systems (DBMS) and for the first time, evaluated CDP Operational Database (COD) against the 12 critical capabilities for Operational Databases. It doesn’t require Hadoop admin expertise to set up the database.
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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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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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Is Your Head Too High up in the Cloud?
The Modern Data Company
FEBRUARY 28, 2023
This blog post will discuss some of the common causes, which have nothing to do with technology and everything to do with poor planning. At the start of the big data era in the early 2010’s, implementing Hadoop was considered a prime resume builder. Similarly, a data operating system won’t magically fix broken processes.
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Hadoop Explained: How does Hadoop work and how to use it?
ProjectPro
MARCH 23, 2016
We shouldn’t be trying for bigger computers, but for more systems of computers.” In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Yes, Doug Cutting named Hadoop framework after his son’s tiny toy elephant.
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Apache Ozone and Dense Data Nodes
Cloudera
APRIL 22, 2021
on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. It works by writing synthetic file system entries directly into Ozone’s OM, SCM, and DataNode RocksDB, and then writing fake data block files on DataNodes. Cloudera will publish separate blog posts with results of performance benchmarks.
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Large Scale Industrialization Key to Open Source Innovation
Cloudera
SEPTEMBER 7, 2022
As I look forward to the next decade of transformation, I see that innovating in open source will accelerate along three dimensions — project, architectural, and system. System innovation is the next evolutionary step for open source. System innovation. This is where system innovation steps in. Project-level innovation.
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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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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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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Reducing Apache Spark Application Dependencies Upload by 99%
LinkedIn Engineering
MARCH 9, 2023
We execute nearly 100,000 Spark applications daily in our Apache Hadoop YARN (more on how we scaled YARN clusters here ). Every day, we upload nearly 30 million dependencies to the Apache Hadoop Distributed File System (HDFS) to run Spark applications. Conclusion Our project aligns with the " doing more with less " philosophy.
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Top 50 Hadoop Interview Questions for 2023
ProjectPro
APRIL 4, 2015
With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.
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What is Hadoop 2.0 High Availability?
ProjectPro
MARCH 23, 2015
In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0
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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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The Rise of the Data Engineer
Maxime Beauchemin
JANUARY 20, 2017
This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.
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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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8 Best Python Data Science Books [Beginners and Professionals]
Knowledge Hut
JUNE 25, 2024
Let’s study them further below: Machine learning : Tools for machine learning are algorithmic uses of artificial intelligence that enable systems to learn and advance without a lot of human input. Describes how to install and configure operating systems such as Windows, Apple's macOS, and Linux. Teaches Python crash course.
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Data Engineering Weekly #174
Data Engineering Weekly
JUNE 2, 2024
Workflow Optimization : Decomposing complex tasks into smaller, manageable steps and prioritizing deterministic workflows can enhance the reliability and performance of LLM-based systems. link] Solmaz Shahalizadeh: How to get more out of your startup’s data strategy Data is always an afterthought in many organizations.
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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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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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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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Top 30 Machine Learning Skills for ML Engineer in 2024
Knowledge Hut
JANUARY 16, 2024
In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Machine learning drives advancements in image and speech recognition, Natural Language Processing (NLP), recommendation systems, and applications like fraud detection.
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Data Engineering Podcast
DECEMBER 9, 2018
With the large array of capabilities, and the complexity of the underlying system, it can be difficult to understand how to get started using it. Contact Info @jgperrin on Twitter Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?
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Hadoop Architecture Explained-What it is and why it matters
ProjectPro
NOVEMBER 7, 2016
Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.
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