AWS Offering

AWS Data & Analytics Practice

Organisations are looking to use their data to make better decisions quickly as changes occur. Such agility requires that they integrate huge volumes of data that were previously siloed in order to get a complete view of their customers and business operations. Traditional on-premises data analytics solutions can’t handle this approach because they don’t scale well enough and are too expensive. As a result, we’re seeing an acceleration in customers looking to modernise their data and analytics infrastructure by moving to the cloud.

data-analytics

We can convince our clients to use the AWS cloud as data analytics & visualisation platform, by receiving guidance based on our years of cloud solutions experience.

We offer a full range of data services, including analytics & data warehousing, data movement, data lakes, predictive analytics, machine learning, data cleaning, and data reconciliation.

Our data analytics experts are experienced in AWS’s most common analytics services, including AWS Lake Formation, Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, and more.

Quark helps enterprises build solutions with cloud-native services including Amazon Redshift to allow customers to store and analyse their data efficiently, cost-effectively, and without downtime or loss of speed, resulting in better customer engagement, reduced cost, and increased performance.

Consultancy

Big Data strategy & Roadmap
Proof of Concept Technologies selection
Technical Expertise

Focus domains

Big Data & Advanced Analytics
Business Intelligence
Internet of Things
Cloud Solutions

Software Services

Application Development
Performance Tuning
QA & Testing
Managed Services

Data & Analytics Consultancy

Leverage data as a strategic asset to unlock growth and drive business outcomes.

Our Offerings

Cloud Analytics Platform Evaluation – Choose the right Cloud to control the narration of your business by sharing your data-driven insight and stories with your stakeholders.
Big Data Strategy & Roadmap – It should incorporate guidelines to help accomplish the data-driven vision and direct the organisation to specific business goals for big data applications.

Software Services

Modernise your data platform in weeks and get the insights you need to become data-driven.

Our Offerings

Data Warehouse Migration – Accelerate the migration of your Data Warehouse by using the best technologies and tools
Database Migration to cloud – Reduce operational costs by working with data in a fully configured cloud environment with minimal software & no hardware maintenance costs
Redesign and rewrite applications for the cloud – These approaches require effort to make application completely cloud-native by understanding real business functionalities of legacy applications and understanding the monolithic application architecture, application complexity, Integration points, Data Model, etc. where we can translates business requirements into scalable, secure, resilience and reliable solutions by exploiting maximum cloud features through these detailed analyses to seamless migration on Cloud.
Data-Driven Applications (ETL, AI/ML) – Data-driven decision making is vital as it enables us to observe data from the actual time, the real time to come up with predictive insights. It provides the ability to research and know what is working well for the business and what is not. With a Data-Driven approach we enable companies to examine and organise their data with the goal of better serving their customers and consumers.
Design & Develop cloud native applications – Cloud native applications help organisations to take advantage of the distributed computing offered by the cloud delivery model. Cloud native apps are designed and built to exploit the scale, elasticity, resiliency, and flexibility the cloud provides.
Real-time data processing and analyses – The faster organisations are able to turn all of their raw data into useful insights, the better they can identify and respond to trends in performance, which is why investing in real time data analytics is a sheer necessity for any business.
Build Data Lake platforms in the cloud – Implement scalable, adaptable and robust data lake instances to store data from a wide variety of sources, structured and unstructured, in a centralised repository, having analytics solution connected directly to this repository that offers more agility and flexibility than traditional data management systems.
Data Analysis & Visualisation – The ability to convert data into tailored products, offers, recommendations, and messages for individual customers is a business necessity that drives revenue and differentiation. We can use AWS services or adapt to ISV tools that customer already use in order to create beautiful dashboards and reports.
Multi cloud Data Platform using Snowflake on AWS – Embrace the future with a multi cloud data platform with Snowflake as the single source of truth.

Technology Stack

Our core competencies include various state-of-the-art technologies of the main vendors on the market but also the last open source technologies used in Big Data & Analytics, Business Intelligence areas.

Analytics

  • AWS Analytics Services
  • Hadoop Stack
  • Scala, Perl, Python, KSH
  • Spark, Storm, Kafka
  • ElasticSearch
  • R / Revolution R
  • Python, SciPy, NumPy, Pandas, Django, Flask
  • Cognos
  • Microsoft SSAS
  • SAS Enterprise

Databases

  • AWS Database Services
  • Snowflake
  • Postgres, Greenplum
  • Oracle
  • MSSQL
  • SAS SPDS
  • Teradata
  • NoSQL (Hbase, Hive, Cassandra, Redis)

ETL Tools

  • AWS Glue
  • AbInitio
  • Oracle PL/SQL
  • Microsoft SSIS
  • SAS Base, SAS DI Studio
  • Informatica
  • IBM Data Stage
  • Talend, Pentaho
  • Xplenty

Machine Learning

  • AWS AI Services
  • Python – Scikit Learn
  • TensorFlow, Keras
  • Spark MLib, Spark GraphX, NLTK R, Matlab

Business Intelligence

  • AWS QuickSight
  • SAP Business Objects
  • Microsoft (PowerBI, SSRS)
  • Cognos
  • Oracle OBIEE
  • MicroStrategy
  • JasperSoft
  • Pentaho
  • Tableau
  • QlikView
  • Birst

Customer references

“We needed an integrated data solution that combines campaign data from both TV and digital media. Quark’s team helped us with strategy, data structure, and developing customized reporting, which our clients love. We now have a fully integrated solution that delivers TV, digital and combined reporting, the foundation for making faster data-driven decisions. Quark fully redesigned the way data was injected and integrated with other systems. They created a generic data extraction/insertion framework used to transfer information, in real time, between Diray Media’s Redshift Data Warehouse and other third-party systems. It uses easy to write pluggable sources and destinations to transfer data between APIs, files and Databases.”

– Matthew Greger – CTO at Diray Media, Inc.

“Quark Technologies helped us greatly with our migration to AWS. Because of their vast experience we managed to migrate our entire infrastructure without a hitch and can now sleep better at night because everything is stable and we can focus on our product. Each step of the way the Quark team always had very good insight and advice. In fact, based on that insight, we now realized we can do so much more with AWS than we initially thought. We were so lucky to have them by our side during the whole process and would definitely recommend them to everyone that is in need of their expertise.”

– Floris Stoica, CTO at Frisbo

“Very professional and knowledgeable engineers. I have the pleasure to work with a couple of consultant for almost a year and I highly recommend them. Very proactive and going always the extra mile.”

– Fernando Ospina – Head of Analytics Delivery at Philip Morris International

“Great expertise in creating data pipelines in both Python and Scala using the AWS platform.”

– Christopher Chiche – Customer Success Engineer at Sqooba

“Quark technologies is a reliable partner in the area of Big Data, supporting us since the beginning of the year 2020 in the implementation of a Reporting and Analytics platform in the AWS Cloud. Colleagues from Quark Technologies have a wide experience in the implementation and design of data pipelines and data warehouse solutions using different technologies and have become a part of our international team.”

– Agata Rastovac – Scrum Master at RWE

“Quark Technologies has allowed us to see actionable insights within our company, live, 24/7. They’ve been an absolute game changer in helping us become more efficient and effective across multiple departments.”

– Lucas Siegel, CEO at Harbor Life Settlements