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.

Hadoop 86

Hadoop Cloud AWS Utilities 86

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.

Data Science 113

Data Science Cloud Hadoop Metadata 113

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. This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 105

Systems Hadoop Unstructured Data Media 105

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

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.

Hadoop 103

Hadoop Big Data Banking Insurance 103

Cloudera

JUNE 2, 2021

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. In this blog, we will look into the Apache Ozone metadata and the related Apache Ratis metadata in detail and give best practices for different scenarios. . For details of Ozone Security, please refer to our early blog [1].

Metadata 95

Metadata Hadoop Certification Algorithm 95

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 Big Data Datasets 52

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

Striim

MARCH 21, 2025

This blog post describes the advantages of real-time ETL and how it increases the value gained from Snowflake implementations. If you have Snowflake or are considering it, now is the time to think about your ETL for Snowflake.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Precisely

DECEMBER 20, 2022

Let’s further explore the impact of data in this industry as we count down the top 5 financial services blog posts of 2022. #5 Many institutions need to access key customer data from mainframe applications and integrate that data with Hadoop and Spark to power advanced insights. But what does that look like in practice?

Data Governance 52

Data Governance Government Hadoop Big Data 52

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 87

Systems Hadoop Metadata Telecommunication 87

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. It is especially true in the world of big data.

Big Data 98

Big Data Technology Hadoop NoSQL 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 87

Cloud Hadoop Data Analytics Metadata 87

Data Engineering Podcast

NOVEMBER 22, 2017

How do you anticipate the evolving hardware, patterns, and tools for processing data to influence the types of storage formats that maintain or grow their popularity? How do you anticipate the evolving hardware, patterns, and tools for processing data to influence the types of storage formats that maintain or grow their popularity?

Hadoop 100

Hadoop Data Storage Data Pipeline Data Engineering 100

Christophe Blefari

JANUARY 20, 2023

Thank you for every recommendation you do about the blog or the Data News. In between the Hadoop era, the modern data stack and the machine learning revolution everyone—but me—waits for. Data Engineering job market in Stockholm — Alexander shared on a personal blog his job research in Sweden.

Google Cloud 130

Google Cloud Data Hadoop Machine Learning 130

Data Engineering Podcast

FEBRUARY 9, 2020

Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)? Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)? How has the era of data lakes, unstructured/semi-structured data, and non-relational storage engines impacted the state of the art in data modeling?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

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. The landscape of time series databases is extensive and oftentimes difficult to navigate.

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

phData: Data Engineering

NOVEMBER 8, 2024

In this blog, we will discuss: What is the Open Table format (OTF)? The Hive format helped structure and partition data within the Hadoop ecosystem, but it had limitations in terms of flexibility and performance. Why should we use it? A Brief History of OTF A comparative study between the major OTFs. What is an Open Table Format?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

OCTOBER 5, 2021

In this blog post I will introduce a new feature that provides this behavior called the Ranger Resource Mapping Service (RMS). This means many manually implemented Ranger HDFS policies, Hadoop ACLs, or POSIX permissions created solely for this purpose can now be removed, if desired. The RMS was included in CDP Private Cloud Base 7.1.4

Hadoop 96

Hadoop SQL Database Accessibility 96

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 78

Hadoop SQL Database Kafka 78

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. Introduction and Rationale. IPV6 is not supported and should be disabled.

Architecture 102

Architecture Cloud Kafka Hadoop 102

Cloudera

AUGUST 10, 2021

Using the Hadoop CLI. If you’re bringing your own, it’s as simple as creating the bucket in Ozone using the Hadoop CLI and putting the data you want there: hdfs dfs -mkdir ofs://ozone1/data/tpc/test. The post Generating and Viewing Lineage through Apache Ozone appeared first on Cloudera Blog. Don’t forget the trailing slash.

Hadoop 105

Hadoop Kafka Datasets Government 105

Cloudera

APRIL 22, 2021

Cloudera will publish separate blog posts with results of performance benchmarks. Cisco UCS C240 M5 Rack Servers deliver a highly dense, cost-optimized, on-premises storage with broad infrastructure flexibility for object storage, Hadoop, and Big Data analytics solutions. Cisco Data Intelligence Platform.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Cloudera

JANUARY 3, 2019

As separate companies, we built on the broad Apache Hadoop ecosystem. We recognized the power of the Hadoop technology, invented by consumer internet companies, to deliver on that promise. As Arun’s blog makes clear, we see enormous potential in further advances in IoT, data warehousing and machine learning. Please join us !

Hadoop 75

Hadoop Machine Learning Big Data Data Warehouse 75

Data Engineering Podcast

JANUARY 13, 2019

Contact Info Ajay @acoustik on Twitter LinkedIn Mike LinkedIn Website @michaelfreedman on Twitter Timescale Website Documentation Careers timescaledb on GitHub @timescaledb on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Database 100

Database PostgreSQL SQL MongoDB 100

Cloudera

SEPTEMBER 13, 2023

I started my current career path with Hortonworks in 2016, back when we still had to tell people what Hadoop was. Yes, the days of Hadoop are gone, but we did the impossible and built an even better data platform while still empowering open-source and the different teams. I found Apache NiFi especially interesting.

Technology 85

Technology Hadoop Kafka Project 85

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. Today, the same pattern can be seen with cloud migrations.

Cloud 98

Cloud Hadoop Technology Coding 98

Data Engineering Weekly

JUNE 2, 2024

link] Uber: Modernizing Uber’s Batch Data Infrastructure with Google Cloud Platform Uber is one of the largest Hadoop installations, with exabytes of data. The performance issue impacts the users' productivity, and the blog explains how the data team built a custom LookML validator integrated with the IDE to improve its performance.

Data Engineering 104

Data Engineering Data Engineer Engineering Pipeline-centric 104

Knowledge Hut

JUNE 25, 2024

Data Analytics with Hadoop: An Introduction for Data Scientists - Jenny Kim, Benjamin Bengfort "Data Analytics with Hadoop: An Introduction for Data Scientists" by Jenny Kim and Benjamin Bengfort, published by O'Reilly Media in 2016, is rated 4.0/5 Read various blog posts, articles, and Python tutorials.

Data Science 97

Data Science Python Hadoop Machine Learning 97

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.

Data 130

Data Data Engineering Data Engineer Hadoop 130

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. The two of them started the Hadoop project to build an open-source implementation of Google’s system. It staffed up a team to drive Hadoop forward, and hired Doug. Three years later, the core team of developers working inside Yahoo on Hadoop spun out to found Hortonworks.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75

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.

Hadoop 124

Hadoop Machine Learning Designing Project 124

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 105

Digital Media Media Data Lake Data Warehouse 105

Robinhood

FEBRUARY 7, 2024

In this blog, we explore the evolution of our in-house batch processing infrastructure and how it helps Robinhood work smarter. Hadoop-Based Batch Processing Platform (V1) Initial Architecture In our early days of batch processing, we set out to optimize data handling for speed and enhance developer efficiency.

Process 82

Process Hadoop Architecture Accessibility 82

Data Engineering Podcast

DECEMBER 9, 2018

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? 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?

MySQL 100

MySQL Scala Kafka Hadoop 100

Pinterest Engineering

OCTOBER 23, 2024

During Monarch’s inception in 2016, the most dominant batch processing technology around to build the platform was Apache Hadoop YARN. Now, eight years later, we have made the decision to move off of Apache Hadoop and onto our next generation Kubernetes (K8s) based platform. A major version upgrade to 3.x

AWS 59

AWS Hadoop Management Algorithm 59