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Hadoop

Apache Hadoop es la pila de referencia para almacenamiento y procesamiento distribuido de grandes volúmenes de datos. Con HDFS, YARN, MapReduce y un rico ecosistema de proyectos, soporta desde batch masivos hasta análisis interactivo.

Itrion mantiene 45 clusters Hadoop con 10 PB de datos en HDFS, ejecutando 1,2 M jobs al mes con un tiempo medio de finalización de 120 s y una disponibilidad del 99,8 %.

45

Clusters mantenidos

10 PB

Datos en HDFS

1.2 M

Jobs/mes

120 s

Tiempo medio job

Beneficios de Apache Hadoop

Escalabilidad
Scale-out con commodity hardware
Tolerancia fallos
Replicación de bloques HDFS
Gestión recursos
YARN multi-tenant
Ecosistema
Hive, HBase, Spark, Flink

Componentes fundamentales

ComponenteFunciónUso típico
HDFSAlmacenamiento distribuidoData lake
YARNGestión de recursosOrquestación de jobs
MapReduceProcesamiento batchETL masivo
HiveSQL-on-HadoopBI & reporting
HBaseBase NoSQLAcceso random low-latency
ZooKeeperCoordination serviceAlta disponibilidad

Pipeline Hadoop convencional

1 · Ingesta HDFS
2 · MapReduce ETL
3 · Hive SQL
4 · HBase read/write
5 · YARN monitoring

< 200 s para batch de 1 TB.

Fortalezas de Itrion con Hadoop

Ajustamos block size y redundancy levels según patrón de acceso para maximizar throughput.

Configuramos memory vs map tasks y combiners para reducir un 30 % el tiempo de job.

Creamos queues y policies personalizadas para garantizar fair share entre equipos.

Integramos Hive con Delta Lake sobre HDFS para ACID tables y time travel.

Razones para elegir Itrion

  • • Provisioning rápido: clusters Hadoop con automation IaC en 48 h.
  • • Costos optimizados: combinamos spot instances y tiered storage.
  • • Governance: ACL HDFS, Ranger policies y auditoría compliance.
  • • Soporte 24/7: respuesta crítica < 10 min.

Apache Hadoop is the reference stack for distributed storage and processing of large data volumes. With HDFS, YARN, MapReduce, and a rich ecosystem of projects, it supports everything from massive batch jobs to interactive analytics.

Itrion maintains 45 Hadoop clusters with 10 PB of data in HDFS, running 1.2 M jobs per month with an average completion time of 120 s and 99.8% availability.

45

Maintained clusters

10 PB

Data in HDFS

1.2 M

Jobs/month

120 s

Average job time

Benefits of Apache Hadoop

Scalability
Scale-out with commodity hardware
Fault tolerance
HDFS block replication
Resource management
Multi-tenant YARN
Ecosystem
Hive, HBase, Spark, Flink

Core components

ComponentFunctionTypical use
HDFSDistributed storageData lake
YARNResource managementJob orchestration
MapReduceBatch processingMassive ETL
HiveSQL-on-HadoopBI & reporting
HBaseNoSQL databaseRandom low-latency access
ZooKeeperCoordination serviceHigh availability

Conventional Hadoop pipeline

1 · HDFS ingestion
2 · MapReduce ETL
3 · Hive SQL
4 · HBase read/write
5 · YARN monitoring

< 200 s for 1 TB batch.

Itrion strengths with Hadoop

We tune block size and redundancy levels according to access patterns to maximize throughput.

We configure memory vs map tasks and combiners to reduce job time by 30%.

We create queues and custom policies to ensure fair share among teams.

We integrate Hive with Delta Lake on HDFS for ACID tables and time travel.

Reasons to choose Itrion

  • • Fast provisioning: Hadoop clusters with IaC automation in 48 h.
  • • Optimized costs: combining spot instances and tiered storage.
  • • Governance: HDFS ACLs, Ranger policies, and compliance audit.
  • • 24/7 support: critical response < 10 min.

At Itrion, we provide direct, professional communication aligned with the objectives of each organisation. We diligently address all requests for information, evaluation, or collaboration that we receive, analysing each case with the seriousness it deserves.

If you wish to present us with a project, evaluate a potential solution, or simply gain a qualified insight into a technological or business challenge, we will be delighted to assist you. Your enquiry will be handled with the utmost care by our team.