Cloudera as an organisation believe that data can make what is impossible today, possible tomorrow. Cloudera solutions empower people to transform complex data into clear and actionable insights.

To that end, iOCO deliver Cloudera solutions for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community, Cloudera accelerates digital transformation for the world’s largest enterprises

iOCO is an Official Cloudera Partner. Our people ensure that deep data domain knowledge and product expertise, will translate into success for your digital transformation initiative.

Disrupt Your Competitors

In a world punctuated by digital disruption, data is your greatest source of market differentiation. In an era where data is the new and trusted currency, traditional approaches to data management won’t buy you much value. It’s time to disrupt or be disrupted. Unleash the power of your data to fuel intelligent disruption by creating opportunities, solving complexities, and accelerating innovation, all while defending against market, business, and technology disruptions.

Edge to AI

Most businesses have data in many places within the businesses. Cloudera based solutions help get data from the edge of your business all the way to storage and onto AI.


Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence.

It allows you to stream data from traditional sources but also remote sources like IoT devices. The data flows through CDF in real-time to it’s destination. This is fundamentally different from batch ETL as the data flows continuously like pipes that have water in your house,

Data Warehouse

Cloudera Data Warehouse is an auto-scaling, highly concurrent and cost-effective analytics service that ingests high scale data anywhere, from structured, unstructured and edge sources.

It supports hybrid and multi-cloud infrastructure models by seamlessly moving workloads between on-premises and any cloud for reports, dashboards, ad-hoc and advanced analytics, including AI, with consistent security and governance. Cloudera Data Warehouse offers zero query wait times, reduced IT costs and agile delivery.

Machine Learning / AI

Artificial intelligence (AI) and machine learning (ML) are coming of age, and organizations are wrestling with familiar growing pains. Isolated projects exist in silos across the enterprise, putting quality, security, governance, and compliance at risk. By taking an “AI factory” approach to turning data into decisions, you can make the process of building, scaling, and deploying enterprise ML and AI solutions automated, repeatable, and predictable.

Cloudera based solutions helps clients transform from both a technological and a practical standpoint, speeding up time to results with enterprise ML. With our modern, open platform and enterprise tools, we enable clients to build and deploy AI solutions at scale, efficiently and securely, anywhere they want

One Platform that does it all

Cloudera is a big data platform that can cater for all your big data needs from streaming data from the edge to storing petabytes and analysing data using the relevant big data processing engines

Why iOCO

We offer Cloudera solutions the way you want it, it can be on-premise, or in the cloud, or hosted and then also combined with flexible finance terms that can be capex, opex or subscription based.

We even offer Cloudera as a managed service where organisations can get started immediately with a production-ready Data Lake, delivered as SaaS with no DevOps and no special skills required. We refer to this as our Big Data as a-Service that includes

  • Data Lake as a Service
  • Data Science, Machine Learning & AI as a Service
  • Data Warehouse as a Service
  • Data Integration as a Service

Read more on our Big Data as a-Service here

With iOCO as your data journey partner, explore a wide range of data journeys

Move to the Cloud

  • Multicloud. On-Prem. Hybrid. Approach your cloud your way

Fuel Data Governance & Privacy

  • Build a foundation of trusted data across your entire organization

Provide Analytics Insights

  • Accelerate your data & analytics for a hybrid world

Drive 360 Engagement

  • Create a trusted 360 view of customers, products, and suppliers

Transform Customer Experience

  • Bring your customers into focus to deliver the next best action, every time

Protect Customer Data

  • Detect and protect sensitive customer data wherever it may reside in the organization.

Drive Insights from Streaming Data

  • Capture and understand critical events in real time to improve decision making and respond rapidly.

Simplify Analytics Architecture

  • Replace complex point-to-point data integrations with a simplified, managed, and governed data architecture.

Deliver Fast Cloud

  • Find, enrich, prepare, and deliver accurate and consistent data you can trust to power quicker business decisions.

Cloudera Training

Learn Apache Hadoop from the world’s leading data experts. Sixty-five percent of the current Fortune 100 is using big data to drive their business. You can too, by getting expert training through Cloudera University delivered by EOH. The industry's only truly dynamic Hadoop training curriculum that’s updated regularly to reflect the state of the art in big data.


Developer Training For Spark and Hadoop
4-day Course

Scala and Python developers new to Hadoop will learn key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques, including Apache Spark, Impala, Hive, Flume, and Sqoop.


Cloudera Administrator Training
4-day Course

System administrators and IT managers with Linux experience will learn the technical background needed to mange and scale a Hadoop cluster in development or production environments.


Data Analyst Training
4-day Course

Data analyst with SQL and basic Linux command-line knowledge will learn to manipulate, transform, and analyze massive data sets in the Hadoop cluster using SQL and familiar scripting languages.

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