Tag: IOT



The Cloudera foundation is built upon the Apache Hadoop framework and employs the largest group of committers under one roof. Cloudera enables organizations to capture, store, analyze and act on any data at massive speed and scale in a single data solution using Hadoop platforms.

Cloudera is agnostic to hardware and our solutions can be optimized for both the Cloud and on-premises environments. As a result, Cloudera has a vast partner ecosystem and we pride ourselves on our solutions being highly compatible with our Customers’ existing environment and service providers. This allows for our solution to be molded to environments for a custom experience rather than wasting time and resources introducing solutions that are not compatible with the pre-existing hardware, environment or service providers that are already in place, leading to any budget being vastly depleted even before the proposed solution is installed.

Your goals to modernize the legacy systems and better harness your data is the mission we at Cloudera share. We strive to bring a comprehensive solution-set of data analytics to data anywhere the enterprise needs to work, from the Edge to AI.

By implementing an open source data platform supported by Cloudera on your own infrastructure, in the cloud or a hybrid of both, we expect you can achieve the following core benefits as we enable your Data Lake:

  1. New Efficiencies for data architecture through a significantly lower cost storage platform by leveraging the industry’s only secure enterprise-ready open source Hadoop distribution. A modern data architecture will allow you to integrate, store and process all enterprise data regardless of source, format, and type at a fraction of the cost of proprietary solutions.
  2. Capture Data in Motion in a secure, traceable way to un-tap the potential of streaming data analytics, data routing and overall seamless data ingestion from Dubai Municipality owned, or public data sources.
  3. New Opportunities, Innovation & Insights by providing data scientists, business analysts, and data developers with the ability to easily access and query all enterprise data within one environment from batch to real time using the tools they are most familiar with.

Cloudera EDH Solution

Cloudera EDH provides a unified platform to cost-effectively collect, store and manage unlimited volumes of any structured, semi-structured and unstructured data.

Cloudera’s Enterprise Data Hub (EDH) consists of

  • CDH (Cloudera’s Distribution including Hadoop)
  • Cloudera’s Enterprise Management, Governance and Security layer.

CDH is 100% Apache-licensed open source and offers unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

CDH includes the core elements of Apache Hadoop plus several additional key open source projects that, when coupled with customer support, management, and governance through a Cloudera Enterprise subscription, can deliver an enterprise data hub.

CDH is:

  • Flexible – Store any type of data and prosecute it with an array of different computation frameworks including batch processing, interactive SQL, free text search, machine learning and statistical computation.
  • Integrated – Get up and running quickly on a complete, packaged, Hadoop platform.
  • Secure – Process and control sensitive data and facilitate multi-tenancy.
  • Scalable & Extensible – Enable a broad range of applications and scale them with your business.
  • Highly Available – Run mission-critical workloads with confidence.
  • Compatible – Extend and leverage existing IT investments.

Cloudera’s Enterprise Management, Governance and Security layer:

  • Operations

Cloudera Manager: the best-in-class holistic interface that provides end-to-end system management and key enterprise features to deliver granular visibility into and control over every part of an enterprise data hub. It is the only enterprise-grade Hadoop management application available – empowering operators to improve cluster performance, enhance quality of service, increase compliance, and reduce administrative costs.

Cloudera Director: built for powering Hadoop across all the major cloud environments. It provides the flexibility to deploy on your environment of choice. With a single multi-cluster, multi-environment view, you can easily manage elasticity and dynamic cluster life cycles across common workloads.

  • Data Management

Cloudera Navigator: the only native end-to-end governance solution for Apache Hadoop based systems. Through a single user interface, it provides visibility for administrators, data managers, data scientists, and analysts to secure, govern, and explore the large amounts of diverse data that land in Hadoop. Cloudera Navigator is part of Cloudera Enterprise’s comprehensive data security and governance offering and is a key part of meeting compliance and regulatory requirements.

Cloudera Navigator Optimizer helps you port and optimize your SQL queries on Hadoop

Cloudera Navigator Encrypt: the only Hadoop platform to provide out-of-the-box encryption for both “data in motion,” between processes and systems, as well as “data-at-rest” as it persists on disk or other storage mediums.

Cloudera Navigator KeyTrustee provides industrial strength Encryption Key Management.

The data can be transformed or the raw data in its full fidelity can be ingested and then transformations can be applied afterwards. This allows you to have full flexibility in terms of where and how you want to apply transformations.

Cloudera’s Enterprise Data Hub ships with numerous out-of-the-box options for Data Ingestion:

  • Sqoop is used to bulk move large datasets from a relational database to Hadoop or vice-versa.
  • Apache Spark and Spark Streaming allow users to define data transformations and perform them in-memory on data as it streams into the platform. Apache Spark is open source and part of CDH.

Apache Kafka allows real-time data integration. Apache Kafka is a distributed, partitioned, real-time pub/sub messaging system designed for speed, scalability, and durability. Apache Kafka is open source and part of CDH.

With Kafka (to transport events) and Spark Streaming (to process events as they arrive) deployments can easily scale to achieve over 1 million end-to-end events per second.

Cloudera Platform Future

The merger of Hortonworks and Cloudera on January 3, 2019 has led for the combining of products and roadmaps.  Cloudera has stated publicly, that it will support both previous HDP and CDH deployments in their latest versions until January 2022. The first release of CDP will be composed of a selection of elements from HDP version 3.x and CDH 6 and will be focused on running customers’ existing workloads and data.   CDP will be expected to run in the cloud, both private and/or public clouds.  Additionally, the on-premise solution will be forthcoming.

Cloudera Enterprise Platform provides End-to-End components that cover most of the components within the architecture under one platform. Few other components should be procured from Cloudera Ecosystems partners who are certified and supported to work with Cloudera Platform and to be integrated within Cloudera Manager as well.

The following graph provide high level architecture for solution provided:

High Level Architecture

The best approach to have a proper solution design for Big Data and analytics platforms is to have an understanding of use cases needed which dictate how overall architecture should look like. Cloudera provides a general end-to-end architecture that most use cases use with some modification(s) here and there depending on the requirements. Most of Cloudera components in the platform will be used in a way or another to achieve functionalities required.

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End to end data science for better decision making.

KNIME Analytics Platform:
KNIME Analytics Platform is the open source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.

KNIME Server:
KNIME Server is the enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics. Non experts are given access to data science via KNIME WebPortal or can use REST APIs to integrate workflows as analytic services to applications and IoT systems.

KNIME Extensions

Open source extensions for KNIME Analytics Platform are developed and maintained by KNIME and provide additional functionalities such as access to and processing of complex data types, as well as the addition of advanced machine learning and AI algorithms.

KNIME Integrations

Open-source integrations for KNIME Analytics Platform (also developed and maintained by KNIME), provide seamless access to large open-source projects such as Keras for deep learning, H2O for high performance machine learning, Apache Spark for big data processing, Python and R for scripting, and more.

Shape your data

Derive statistics, including mean, quantiles, and standard deviation, or apply statistical tests to validate a hypothesis. Integrate dimensions reduction, correlation analysis, and more into your workflows.

Aggregate, sort, filter, and join data either on your local machine, in-database, or in distributed big data environments.

Clean data through normalisation, data type conversion, and missing value handling. Detect out of range values with outlier and anomaly detection algorithms.

Blend data from any source

Open and combine simple text formats (CSV, PDF, XLS, JSON, XML, etc), unstructured data types (images, documents, networks, molecules, etc), or time series data.

Connect to a host of databases and data warehouses to integrate data from Oracle, Microsoft SQL, Apache Hive, and more. Load Avro, Parquet, or ORC files from HDFS, S3, or Azure.

Access and retrieve data from sources such as Twitter, AWS S3, Google Sheets, and Azure.

Extract and select features (or construct new ones) to prepare your dataset for machine learning with genetic algorithms, random search or backward- and forward feature elimination. Manipulate text, apply formulas on numerical data, and apply rules to filter out or mark samples.

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AI & Data science

AI & Data science

By applying scientific machine learning algorithms to build forecasting models, businesses can predict the future and respond accordingly. Data Science can offer your organisation the necessary insights to keep you ahead of the digital race.

Technology knows no boundaries!

Our Data science professional services enable organisations to make decisions on products and operate metrics such as customer care capacity, revenues, budgets, risks, key performance and indicators…etc by applying scientific machine learning algorithms to build forecasting and classification models. The surrounding environment contains countless challenging factors, however with our data science services; organisations can predict the future and respond accordingly.

Applying scientific machine learning algorithms to build forecasting and classification models. The surrounding environment contains countless challenging factors, however with data science; organizations can predict the future and respond accordingly.

We build prediction and classification algorithms models and deploy it to an execution engine with integration capabilities with many data sources to assist organisation businesses achieve the highest performance.

Data is the engine of creativity in this world. Humans are not the main contributor of data anymore, it is machines and sensors that load more data in today’s world causing a rapid increase in the size of data to big data. The concept of Internet of Things (IOT) linked directly to the smart city concept, where city utilise different types of electronic data collection sensors to supply information, which used to manage assets and resources efficiently. Smart cities will start to become the norm in the major metropolitan areas of the world.

Palmira enable you to achieve a smart city vision which could be approached via IoT devices like connected sensors, lights and any other type of mechanical controller connected to the cloud for command sending, data collection, aggregation, and analytics, which will assist cities to allocate resources wisely, cost savings and rapid decision making. We design and build solutions to achieve the Smart City Vision.

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  • UAE | Dubai | AlMustaqbal Street | Business Bay |
    Exchange Tower | Office # 1703 | P.O.BOX 31712

  • Av. D. João II, Edifício Mythos Lote, 6º Piso,
    Escritório 2, 1990-095 Lisboa, Portugal


    QW93+G4 Lisbon, Portugal

  • Office#403, Al Abraj Almehaneyeh Complex
    Wasfi Al Tal Street, Amman

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