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A+ rating

Average 5.00 rating
What's included

Sqoop Data Migration Services in Australia

The team of engineers at CDU has been catering their services of relational database to Hadoop migration to Australia-wide businesses besides ongoing managed support. Every capability listed below can run standalone or as a part of a bigger data platform program.

Connect DBC Connector Support
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Consulting & Architecture

Our consulting and architecture service includes Sqoop job design precisely customized to your source schema, target Hadoop layer and refresh cadence.

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Data Pipeline Modernisation

State of the art data pipeline modernisation especially for retiring brittle scripts and legacy ETL jobs in favour of scheduled, monitored Sqoop pipelines.

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Relational Database to Hadoop Migration

It comprises of Structured relational database to Hadoop migration for Australia-wide businesses from MySQL, SQL Server, Oracle or PostgreSQL, with a validated cutover plan.

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JDBC Connector Configuration

Well organized JDBC connectors set up and finely tuned for your specific database like vendor, driver version and network path.

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Sqoop Hadoop Integration Australia

This service includes precise and flawless end-to-end integration into HDFS, Hive or HBase, with partitioning and file format decisions made upfront.

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Incremental Import Strategy

This service is implemented wisely. Your day-to-day loads will remain speedier as the tables grow just because of append and last modified incremental import design.

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Sqoop Managed Support Australia

We follow a proactive planning for ongoing job monitoring, failure recovery and schedule tuning, supported during AEST/AEDT hours.

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Security & Compliance

We take care that Credential handling, connection encryption and access controls are aligned to Privacy Act 1988 and APRA CPS 234.

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Platforms

Sqoop Technology for which CDU is a better option to choose

We work across the Sqoop and Hadoop ecosystem, and we're comfortable recommending a streaming approach instead when that's genuinely the better fit.

From Apache Sqoop and Hadoop HDFS to JDBC connectors, Hive, HBase and orchestration tools such as Oozie and Airflow, we bring together the right technologies for your data environment. Our capabilities also cover MySQL, Oracle, SQL Server and PostgreSQL, with support for Parquet, Avro and Kafka Connect where needed. This approach keeps your Sqoop pipelines aligned with your data architecture, workload requirements and long-term platform goals.

Benifit’s the Services

Get the right Sqoop stack, tailored to your data and migration needs.

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Tailored Sqoop architecture

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Flexible migration options

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Scalable batch processing

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Connected Hadoop ecosystem

Core Platform

Apache Sqoop Apache Hadoop HDFS

Connectivity

JDBC Connectors MySQL OracleSQL Server PostgreSQL

Target Layer

Hive HBase Parquet Avro

Orchestration & Streaming

Oozie Airflow Kafka Connect

How We Deliver

Let us explain How Our Apache Sqoop engagement process works with an assured success ratio.

A well-organized and smartly structured path from pipeline review to fully managed batch operations.

01

Sqoop pipeline review

02

Roadmap & fixed-scope proposal

03

Build, migrate or tune

04

Validation & handover

05

Managed Support

Schema Analysis Job Review JDBC Setup Batch Scheduling

A team of experienced Sqoop experts will analyse and review source schema, existing jobs, JDBC connector setup and batch scheduling to identify the highest-impact fixes.

Schema Analysis Job Review JDBC Setup Batch Scheduling

Our team will approach with a prioritised plan with a proposal covering migration, connector setup or job tuning, timeline and pricing — usually within 5 business days.

Schema Analysis Job Review JDBC Setup Batch Scheduling

Having complete the proposal formalities, out team will start Job scripts, migration execution or performance fixes delivered in demo-able sprints.

Schema Analysis Job Review JDBC Setup Batch Scheduling

We always provide complete documentation and minute details along with Row-count reconciliation and validation before Go-Live, and it is handed to your team.

Schema Analysis Job Review JDBC Setup Batch Scheduling

You can also avail an optional ongoing job monitoring, failure recovery and schedule tuning retainer.

Hey 👋 I am Gokul, Sr. Business Consultant
Hey 👋 I am Gokul, Sr. Business Consultant
Let's talk about your growth
Why CDU for Sqoop

Why Choose CDU for Apache Sqoop

Our expertise over Apache Sqoop practice resides inside our wider Big Data team, alongside Kafka, Spark and MongoDB — so we design your data platform holistically, not tool-by-tool.

Typical outcomes

What changes after an Apache Sqoop engagement

The following figures depict the typical ranges our clients have reported to us across our latest engagements, not guarantees. In fact, your results depend much on the point where we start from.

User Training

60%

Faster Onboarding

Integrations

130+

Dealerships Connected

Operations

99.9%

Platform Availability
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Client Testimonials

Trusted by Businesses.
Backed by Results.

Real partnerships. Honest feedback. See why organisations across Australia trust Cloud Downunder to design, build, and support their digital products.

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The app has earned a significant amount of downloads since its launch. Thus far, the platform has satisfied expectations and matches the original vision. App Gurus is dedicated to the project, ensuring they’re approachable and timely in the case of issues.

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App Gurus has delivered a functional and easy-to-use app in a timely manner. The team has ensured stellar communication and efficiently addressed the project requirements. Their receptiveness, design competencies, and innovative approach are key elements of their work.

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01 / 30

4.8

Average Rating

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Independent reviews that speak for us
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Client Testimonials

Frequently Asked Questions

Everything you need to know about Cloud Downunder's services, process, and Australian-local approach.

Still have questions?

We're here to help. Reach out directly and our specialists will respond within 2 business hours.

Responds within 2 business hours.

Apache Sqoop is a command-line tool built to transfer bulk data between relational databases and Hadoop, using batch jobs to import tables into HDFS, Hive or HBase, and export processed data back out again.

Sqoop is built for scheduled, high-volume batch import and export between relational databases and Hadoop, while Kafka Connect is built for continuous, real-time or near-real-time streaming between systems. Many Australian businesses use Sqoop for periodic bulk loads and Kafka Connect for ongoing event streams, choosing per workload rather than replacing one with the other.

Sqoop is a batch tool. It runs scheduled import or export jobs rather than streaming data continuously. If you need real-time or near-real-time ingestion alongside batch loads, we typically pair Sqoop with a streaming layer such as Kafka Connect rather than trying to force Sqoop into a real-time role.

Cost depends on whether you need a one-off pipeline review, a full migration project, or ongoing managed support. Most engagements start with a fixed-price Sqoop pipeline review before a larger project is scoped and quoted.

Yes. We handle relational database to Hadoop migration Australia-wide from platforms such as MySQL, SQL Server, Oracle and PostgreSQL, including JDBC connector setup, incremental import design and a validated batch schedule.

Yes. Our Sqoop managed support retainer covers job monitoring, failure recovery, schedule tuning and incremental import maintenance on an ongoing monthly basis, supported during Australian business hours.

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