Apache Hadoop HDFS
Related articles
Hadoop Ozone part 3: advanced replication strategy with Copyset
Categories: Infrastructure | Tags: HDFS, Kubernetes, Ozone
Hadoop Ozone provide a way of setting a ReplicationType for every write you make on the cluster. Right now is supported HDFS and Ratis but more advanced replication strategies can be achieved. In this…
Dec 3, 2019
Hadoop Ozone part 2: tutorial and getting started of its features
Categories: Infrastructure | Tags: HDFS, CLI, Learning and tutorial, REST, Ozone, Amazon S3
The releases of Hadoop Ozone come with a handy docker-compose file to try out Ozone. The below instructions provide details on how to use it. You can also use the Katacoda training sandbox which…
Dec 3, 2019
Hadoop Ozone part 1: an introduction of the new filesystem
Categories: Infrastructure | Tags: HDFS, Kubernetes, Ozone
Hadoop Ozone is an object store for Hadoop. It is designed to scale to billions of objects of varying sizes. It is currently in development. The roadmap is available on the project wiki. This article…
Dec 3, 2019
Multihoming on Hadoop
Categories: Infrastructure | Tags: HDFS, Kerberos, Network, Hadoop
Multihoming, which means having multiple networks attached to one node, is one of the main components to manage the heterogeneous network usage of an Apache Hadoop cluster. This article is an…
Mar 5, 2019
Deploying a secured Flink cluster on Kubernetes
Categories: Big Data | Tags: Flink, HDFS, Kafka, Elasticsearch, Encryption, Kerberos, SSL/TLS
When deploying secured Flink applications inside Kubernetes, you are faced with two choices. Assuming your Kubernetes is secure, you may rely on the underlying platform or rely on Flink native…
By David WORMS
Oct 8, 2018
Clusters and workloads migration from Hadoop 2 to Hadoop 3
Categories: Big Data, Infrastructure | Tags: HDFS, Slider, Spark, YARN, Docker, Erasure Coding, Rolling Upgrade
Hadoop 2 to Hadoop 3 migration is a hot subject. How to upgrade your clusters, which features present in the new release may solve current problems and bring new opportunities, how are your current…
Jul 25, 2018
Apache Hadoop YARN 3.0 – State of the union
Categories: Big Data, DataWorks Summit 2018 | Tags: HDFS, MapReduce, YARN, Cloudera, Docker, GPU, Hortonworks, Release and features, Hadoop
This article covers the ”Apache Hadoop YARN: state of the union” talk held by Wangda Tan from Hortonworks during the Dataworks Summit 2018. What is Apache YARN? As a reminder, YARN is one of the two…
May 31, 2018
Apache Metron in the Real World
Categories: Cyber Security, DataWorks Summit 2018 | Tags: Algorithm, HDFS, Kafka, NiFi, Solr, Spark, Storm, Elasticsearch, pcap, RDBMS, Metron, SQL
Apache Metron is a storage and analytic platform specialized in cyber security. This talk was about demonstrating the usages and capabilities of Apache Metron in the real world. The presentation was…
May 29, 2018
Red Hat Storage Gluster and its integration with Hadoop
Categories: Big Data | Tags: HDFS, GlusterFS, Red Hat, Hadoop, Storage
I had the opportunity to be introduced to Red Hat Storage and Gluster in a joint presentation by Red Hat France and the company StartX. I have here recompiled my notes, at least partially. I will…
By David WORMS
Jul 3, 2015
Splitting HDFS files into multiple hive tables
Categories: Data Engineering | Tags: Flume, HDFS, Hive, Oozie, Pig, SQL
I am going to show how to split a CSV file stored inside HDFS as multiple Hive tables based on the content of each record. The context is simple. We are using Flume to collect logs from all over our…
By David WORMS
Sep 15, 2013
Kerberos and delegation tokens security with WebHDFS
Categories: Cyber Security | Tags: HDFS, Big Data, HTTP, Kerberos
WebHDFS is an HTTP Rest server bundle with the latest version of Hadoop. What interests me on this article is to dig into security with the Kerberos and delegation tokens functionalities. I will cover…
By David WORMS
Jul 25, 2013
Testing the Oracle SQL Connector for Hadoop HDFS
Categories: Data Engineering | Tags: HDFS, Database, File system, Oracle, CDH, SQL
Using Oracle SQL Connector for HDFS, you can use Oracle Database to access and analyze data residing in HDFS files or a Hive table. You can also query and join data in HDFS or a Hive table with other…
By David WORMS
Jul 15, 2013
Oracle to Apache Hive with the Oracle SQL Connector
Categories: Business Intelligence | Tags: HDFS, Hive, Network, Oracle
In a previous article published last week, I introduced the choices available to connect Oracle and Hadoop. In a follow up article, I covered the Oracle SQL Connector, its installation and integration…
By David WORMS
May 27, 2013
Options to connect and integrate Hadoop with Oracle
Categories: Data Engineering | Tags: Avro, HDFS, Hive, MapReduce, Sqoop, Database, Java, NoSQL, Oracle, R, RDBMS, SQL
I will list the different tools and libraries available to us developers in order to integrate Oracle and Hadoop. The Oracle SQL Connector for HDFS described below is covered in a follow up article…
By David WORMS
May 15, 2013
Merging multiple files in Hadoop
Categories: Hack | Tags: HDFS, File system, Hadoop
This is a command I used to concatenate the files stored in Hadoop HDFS matching a globing expression into a single file. It uses the “getmerge” utility of but contrary to “getmerge”, the final…
By David WORMS
Jan 12, 2013
Hadoop and R with RHadoop
Categories: Business Intelligence, Data Science | Tags: HDFS, MapReduce, Thrift, Data Analytics, Learning and tutorial, R, Hadoop, HBase
RHadoop is a bridge between R, a language and environment to statistically explore data sets, and Hadoop, a framework that allows for the distributed processing of large data sets across clusters of…
By David WORMS
Jul 19, 2012
Timeseries storage in Hadoop and Hive
Categories: Data Engineering | Tags: HDFS, Hive, CRM, File Format, timeseries, Tuning, Hadoop
In the next few weeks, we will be exploring the storage and analytic of a large generated dataset. This dataset is composed of CRM tables associated to one timeserie table of about 7,000 billiard rows…
By David WORMS
Jan 10, 2012
Storage and massive processing with Hadoop
Categories: Big Data | Tags: HDFS, Hadoop, Storage
Apache Hadoop is a system for building shared storage and processing infrastructures for large volumes of data (multiple terabytes or petabytes). Hadoop clusters are used by a wide range of projects…
By David WORMS
Nov 26, 2010