Dev Centre House Ireland Company LogoDev Centre House Ireland

Data Engineering Solutions

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Dev Centre House Ireland offers cutting-edge data engineering solutions designed to elevate your business to new heights. Our team will build a robust infrastructure and streamline your data processes to unlock valuable insights, enhancing your organisation’s productivity and overall performance. Our cloud data engineers specialise in efficient enterprise data transfer, ensuring a swift and seamless experience. With over 12 years of market expertise and more than 100 successful projects delivered, you can confidently entrust our professionals with your most complex data challenges.

Unlock the Full Potential of Your Vision With Us

Scope

Data Engineering Solutions Provided by Dev Centre House Ireland

Data Architecture Development

We design adaptable and highly accessible data architecture frameworks. Our solutions map out the flow of data within your organisation, offering a clear route to achieving your business objectives.

Data Lake Deployment

Data Lakes are essential for managing the storage of vast amounts of raw, unprocessed data, ready for use by analytics applications. Dev Centre House Ireland delivers Data Lake solutions that boost your business productivity and facilitate faster growth without additional strain.

Data Warehouse Implementation

We specialise in constructing data warehouses that consolidate all your company’s information from various sources into a single repository, separate from your operational databases. This repository is crucial for gaining valuable analytical insights.

Cloud Data Migration

Migrating data to the cloud can be a challenging task, yet it is vital for contemporary businesses. Our cloud data engineers will efficiently set up your Data Lake, enabling swift and cost-effective migration of your enterprise data.

Data Management and Compliance

Effective data management and compliance are critical to ensuring that all data is secure and adheres to both business policies and governmental regulations. Our team at Dev Centre House Ireland will ensure your data is safeguarded to the highest standards.

Data Analytics and Visualisation

We offer tools that simplify the analysis and processing of large datasets, presenting the information in an easily understandable format. With Dev Centre House Ireland's advanced data engineering technologies, your company will enjoy enhanced access to critical insights that drive business improvement.

Data Engineering Consulting

A skilled team of engineers is vital for successful data management. At Dev Centre House Ireland, our data engineers design and oversee your data systems, ensuring they are optimised for reporting, resulting in better decisions informed by solid data.

DataOps Implementation

DataOps practices enhance communication, integration, and automation of data flows between managers and users across your organisation. We can optimise your DataOps processes, ensuring your business consistently delivers relevant, high-quality data to your customers.

Technological Stack Expertise

Our Data Engineering Technology Stack

At Dev Centre House Ireland, our data engineers are highly skilled professionals capable of tackling any data challenges. They excel in utilising advanced technologies, consistently delivering top-tier data engineering solutions. Our engineers are proficient with platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, and Apache. Additionally, Python is frequently employed by our data specialists for a wide range of data engineering tasks.

AWS

  • S3
  • Glue
  • EMR
  • Lambda
  • Athena
  • SQS
  • CloudWatch
  • EC2
  • Transfer Family
  • EFS
  • EBS
  • S3 Glacier
  • Kinesis
  • QuickSight
  • API Gateway

Microsoft Azure

  • Data Lake
  • Data Factory
  • DataBricks
  • Functions
  • Blob Storage
  • Data Explorer
  • Data Catalog
  • Data Share
  • Power BI

Google Cloud Platform

  • DataProc
  • DataFlow
  • Cloud Storage
  • FileStore
  • CloudFunctions
  • DataPrep
  • Pub/Sub
  • KMS
  • DataStore
  • Compute Engine

Apache

  • Airflow
  • Hadoop
  • Spark
  • Hive
  • Cassandra
  • Beam
  • Kafka
  • HBase
  • NiFi
  • Flink
  • Superset
  • Presto

BI tools

  • Power BI
  • Tableau
  • Google Data Studio
  • Looker
  • QuickSight
  • QlikView
  • Qlik Sense

Machine Learning

  • TensorFlow
  • Keras
  • PyTorch
  • Theano
  • SciPy
  • Caffe
  • SKlearn
  • OpenCV

Data Science

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Plotly

Other Tools

  • dbt
  • TimeXtender
  • Azkaban
  • Cloudera
  • Segment

Future-Proof Your Business with Our Expertise

Stay ahead with our innovative solutions and a talented team that drives your success.

Process

Our Data Engineering Process

At Dev Centre House Ireland, we tailor our approach to meet the unique needs of each client. We collaborate closely to identify the right technologies, infrastructure, and advanced tools that address specific business challenges while aligning with your architectural requirements.

  • 0 1

    Requirements Analysis

    In the initial phase, we meticulously assess the detailed needs and expectations of users for a new or updated product. This analysis forms the foundation for all subsequent data-related activities.

  • 0 2

    Data Architecture Design

    We develop a comprehensive framework that outlines the sources of data, as well as how this data is transported, secured, and stored. This architecture underpins the entire data strategy.

  • 0 3

    Data Ingestion

    We facilitate the transfer of data into storage or prepare it for immediate use, ensuring it is readily available for processing.

  • 0 4

    Data Cleaning

    Before entering the data pipeline, the data undergoes a rigorous cleaning process to eliminate irrelevant or erroneous elements.

  • 0 5

    Data Lake Construction

    We establish Data Lakes to efficiently store raw, structured, and unstructured data in a single repository, keeping costs minimal. These lakes may be built using platforms like Hadoop, Google Cloud Storage (GCS), or Azure, involving complex operations such as data engineering with Python.

  • 0 6

    ETL/ELT Pipelines Implementation

    Once the data is prepared and stored, our ETL engineers initiate the data processing operations. This crucial step in the data pipeline transforms raw data into valuable insights.

  • 0 7

    Data Modelling

    At this stage, we delve into and visualise the data structures, aiming to represent relationships within the data and categorise it effectively.

  • 0 8

    Quality Assurance

    Prior to further processing, the data undergoes rigorous testing to ensure it meets our quality standards. Our experts create test cases to verify and validate every element of the data architecture.

  • 0 9

    Automation and Deployment

    This pivotal stage involves crafting a DevOps strategy that automates the data pipeline, significantly reducing the time, cost, and effort required for pipeline management.

FAQs

  • Q: How does Data Engineering differ from data science?

  • Q: Why is Data Engineering necessary for my business?

  • Q: What is meant by a Data Pipeline?

  • Q: Why is Data Engineering essential?

  • Q: What does DataOps involve?

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