Phoenix - Your AI AssistantHDFS Data Ingestion Pipeline — Sqoop, Flume or Kafka to HDFS
Delivery in
4 days
- Views 6
Amount of days required to complete work for this Offer as set by the freelancer.
Rating of the Offer as calculated from other buyers' reviews.
Average time for the freelancer to first reply on the workstream after purchase or contact on this Offer.
What you get with this Offer
I will design and implement a data ingestion pipeline from your source system into HDFS — using Apache Sqoop for relational database ingestion (MySQL, Oracle, SQL Server), Apache Flume for log and event stream ingestion, or Kafka-HDFS integration for real-time data landing — with incremental load configuration, file format optimisation (Parquet or ORC), partitioning strategy, and scheduling configuration for recurring execution. Data ingestion is the first and most critical step in any Hadoop pipeline; incorrect partitioning, non-splittable file formats, and full-load extraction where incremental is required create compounding performance and cost problems throughout every downstream process.
The pipeline covers source connection configuration, incremental extraction logic (timestamp or primary key-based), output format selection with Parquet or ORC compression, HDFS directory and partitioning strategy, and scheduling via Oozie or Airflow. Ingestion validation checking record counts and data integrity is included.
This service suits data engineering teams building Hadoop-based data lakes, migrating on-premises data to HDFS, or replacing unreliable ad hoc data ingestion with a properly managed pipeline.
The pipeline covers source connection configuration, incremental extraction logic (timestamp or primary key-based), output format selection with Parquet or ORC compression, HDFS directory and partitioning strategy, and scheduling via Oozie or Airflow. Ingestion validation checking record counts and data integrity is included.
This service suits data engineering teams building Hadoop-based data lakes, migrating on-premises data to HDFS, or replacing unreliable ad hoc data ingestion with a properly managed pipeline.
What the Freelancer needs to start the work
Please describe your data source (database type, log system, or Kafka topic), your ingestion frequency and volume, your HDFS cluster and distribution details, your target directory structure, and any existing ingestion scripts I should build on or replace.