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 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

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics Vidhya.

Hadoop 254

Hadoop Data Collection Cloud Technology 254

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 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. 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

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

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

Snowflake

NOVEMBER 26, 2024

For organizations considering moving from a legacy data warehouse to Snowflake, looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or assessing new options if your current cloud data warehouse just isn’t scaling anymore, it helps to see how others have done it.

Data Warehouse 105

Data Warehouse Cloud PostgreSQL Hadoop 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

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. Acknowledgment.

Hadoop 86

Hadoop Cloud AWS Utilities 86

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

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

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

Monte Carlo

NOVEMBER 12, 2024

Uber stores its data in a combination of Hadoop and Cassandra for high availability and low latency access. When you request a ride, Uber grabs your location and streams it through Kafka to Flink. Flink then gets to work finding the nearest available driver and calculating your fare.

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

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

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

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

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 103

Hadoop Big Data Banking Insurance 103

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. STORED AS TEXTFILE. location 'ofs://ozone1/s3v/spark-bucket/vaccine-dataset'.

Data Science 113

Data Science Cloud Hadoop Metadata 113

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

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 105

Systems Hadoop Unstructured Data Media 105

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

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

Snowflake

SEPTEMBER 14, 2023

Prior to 2019, Marriott was an early adopter of Netezza and Hadoop, leveraging the IBM BigInsights platform. Data that previously took 48 hours to one week in Hadoop is now available near-instantly in Snowflake. As Marriott’s business has grown over the past century, its data infrastructure has become more complex.

Data Architecture 122

Data Architecture Architecture Hadoop Data Warehouse 122

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

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 Machine Learning 162

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

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 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

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

Towards Data Science

NOVEMBER 6, 2024

hadoop-aws since we almost always have interaction with S3 storage on the client side). FROM openjdk:11-jre-slim WORKDIR /app # Here, we copy the common artifacts required for any of our Spark Connect # clients (primarily spark-connect-client-jvm, as well as spark-hive, # hadoop-aws, scala-library, etc.).

Scala 75

Scala Java AWS Coding 75

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