AET by ABYRES is a data engineering company that strives to enable businesses and data teams to uncover
their most valuable asset – DATA. Our goal is to be the most trusted data consultants in converting raw
data into business value while embodying Open Source principles of collaboration and openness.
Our
team is
led by highly qualified and accredited Data Consultants and Engineers who have deep, real-world experience
in Modern Data Platforms and Data Engineering Services. For over a decade we have successfully architected
and delivered Big Data & Data Engineering Projects to Public Sectors and Enterprises across verticals.
To be the most trusted consultants in converting raw data into business value while embodying Open Source principles of collaboration and openness
Get actionable insights you need by leveraging on big data technologies to become a more agile organization and gain competitive advantage
Improve your cost savings by effectively implementing data-driven initiatives that will optimize business capabilities and outcomes
Leverage on advanced analytics to improve business operations, productivity and efficiency that aligns with your business needs and customer demands
Develop the right expertise for your big data & data engineering team to operate and sustain your data business and platform
Make Smart, Fast and Forward-Looking Decisions based on advanced analytics that helps you stay competitive
Free your organization from Vendor Lock-in by embracing open source solutions that will ensure continued growth and IT agility
With AE Data Visualization, easily uncover actionable insights and transform massive data sets into well-informed decisions
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Set of practices that enable organizations to maintain an effective DQM to derive actionable and accurate insights
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AE Data Workflow provides a platform for scheduling and monitoring workflows which is useful in architecting and orchestrating complex data pipelines.
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Provide services to ensure data availability, faster reporting, decision-making while optimizing operating costs and increasing ROI
Python-based integration platform for APIs, SOA and microservices. Used for enterprise, business integrations, data science, IoT and other scenarios that require integrations of multiple systems.
Learn MoreABYRES helps bring the power of Big Data into your organization through:
Assess your organization data architectures and identify data problems that can be improved through introduction of Big Data ecosystem and practices
Design and develop Big Data architecture and processes to fit with your organizational business needs
Design and develop data collection systems and Data Driven applications to enhance your data gathering processes, provide higher value data analysis, and simply data consumption
Data-driven organizations increasingly require a rapid analysis platform with capacity to analyse massive amount of data with short turnaround time. In today’s business climates business leaders need accurate and timely information or they will miss opportunities to boost their competitive advantage. ABYRES help you build a Data Lake that would help you implement data-driven analytics and data engineering initiatives.
DATA EXPLORATION & VISUALIZATION - Many businesses are falling
short by lacking a clear
understanding of their data and its business value.
Without the right tools to visualize the data, operational
and business leaders may fail to correct and optimize
their strategies on the go.
With AE Data Visualization, easily transform massive
data sets into actionable insights. The powerful, fully
customisable graphical chart and dashboard development
interface can be adapted to convert raw data into
decision-ready information. AE Data Visualization is a
cloud-ready, web-based application that can effortlessly
integrate with an extensive data source support -
PostgreSQL, MySQL, Oracle, MSSQL, Hive, Elastic-
Search, Druid, and cloud databases. AE Data Visualization
is equipped with extensive list of supported chart
types which offers decision-makers meaningful ways to
discover relationships and patterns between business
and operational activities. Underpinned by In-memory
OLAP engine for fast exploratory analytics powered by
Apache Druid, users can easily discover insights and
business intelligence quicker than ever before.
Combining both advanced technical capabilities and
easy-to-use features, AE Data Visualization’s flexible
and robust abilities will help you connect the dots and
uncover the true value of your datasets.
Make it easy to slice, dice and visualize data
View your data through interactive dashboards
Use SQL Lab to write queries to explore your data
User-friendly web-based application
Highly scalable leveraging the power of your existing data infrastructure
Powerful business intelligence tool with flexible data visualization options
Multiple views of data to get richer
insight.
Easy-to-use interface for exploring and visualizing data
Connect to any SQL based data source through SQL Alchemy
Making Data Trustworthy - Set of practices that enable organizations to maintain an effective Data Quality Management to derive actionable and accurate insights
Unified version of clean, complete & correct customer master data
Increases the accuracy of analytics, which can lead to better business decision-making that boosts sales, improves internal processes and gives organizations
Regulatory compliance through more accurate reporting
Enable analysis across the various department and line of businesses to obtain better business insights
Making Data Business Ready - Data is a valuable asset, but only
if business users can convert it into useful business intelligence. If you’re serious about a data-driven
strategy, you’re going to need a data catalog. Organizations need a data catalog because it enables them to
create a seamless way for employees to access and con- sume data and business assets in an organized
manner.
The
data catalog is a searchable asset that enables all data to be cataloged and more quickly exposed to users for
analysis.
Easy searching and filtering options that enables users to quickly find relevant datasets
Ability to explore and analyse data to derive business value and benefit
Ability to sift through immense quantities of data quickly
Vital to the data stewardship, data curation, and data governance
WORKFLOW MANAGEMENT PLATFORM - With huge amounts of data being
generated every second from business transactions, sales figures, customer logs, and stakeholders, data is the
fuel that drives companies. The exponential growth of data has made it a challenge for businesses to effectively
handle the increased users, data volume, and data complexity.
AE Data Workflow is an excellent tool to
seamlessly organize, execute, and monitor data workflows. AE Data Workflow provides a platform for scheduling
and monitoring workflows which is useful in architecting and orchestrating complex data pipelines.
AE
Data
Workflow is cloud-ready and it is highly flexible as it is designed to work within an architecture that is
standard for nearly every software development environment. Due to its flexibility and robustness, AE Data
Workflow could be used as a powerful workflow management platform.
Allows users to programmatically author, build, monitor, and share work- flows in the cloud
Allows users to create workflows with high granularity and track the progress as they execute
Provides tools that make it easier to manage data-flows and data processing steps in an integrated manner
Monitor, schedule and manage your workflow via a robust & modern web application
With Python knowledge easily build machine learning models, transfer data, & manage your infrastructure
Allows you to extend the functionality by using plugins or adding custom operators
Automate processes, fetching data, machine learning pipelines, data transfer, and monitoring
Provides many plug-and-play operators, easy to apply to current infrastructure and extend to next-gen tech
AE Data Workflow provides various methods of monitoring and managing of workflows
AESB is a highly scalable, Python-based integration platform for
APIs, SOA and microservices. It is used to connect distributed systems or data sources and to build API-first,
backend applications. The platform is designed and built specifically with Python users in mind. AESB is used
for enterprise, business integrations, data science, IoT and other scenarios that require integrations of
multiple systems.
Running on premises, in the cloud, or under Docker, Kubernetes and other container
technologies, AESB services
are optimised for high performance - it is easily possible to run hundreds and thousands of services on typical
server instances as offered by Amazon, Google Cloud, Azure or other cloud providers.
Easy to use and customize.
Open Source API Integrations, Microservices, SOA and ESB in Python.
AESB servers offer high availability and no-downtime deployment.
Allows you to move batch data between locations and to distribute it among systems and APIs
Offers connectors to all the popular technologies, such as REST, SOAP, AMQP, IBM MQ, SQL, Odoo, SAP, HL7, Redis, MongoDB, WebSockets, S3 and many more.
AE Data Workflow provides various methods of monitoring and managing of workflows
