Make your data usable quickly and effectively.

“Big Data” is a collection of technologies and a data management strategy, designed to efficiently process unstructured, complex and continuously growing volumes of data. With this strategy, the data is not changed or distorted into a relational schema. Furthermore, big data allows for a cost-efficient performance and storage scaling, as well as quick access to new and existing data sources.

With a Big Data system, you don’t need perfectly compiled data, and you can instead create direct, targeted analyses and informative reports across systems. Supported by advanced technologies like diagnostic analytics, big data helps you find correlations, patterns and anomalies – even in real-time. With the information you gain, you can react faster and more specifically to market changes, and make the right decisions to create a significant advantage over the competition.

Big Data

Benefits Big Data Systems

  • storage and integration of complex data volumes;analysis and streaming of raw data
  • high performance storage and analysis
  • seamless integration of your existing IT systems
  • high data security thanks to distribution and redundancy
  • easily scalable clusters and performance

The suitable Big Data solution for every requirement

In the area of Big Data, TIQ Solutions has extensive project experience and profound knowledge, which our team is constantly expanding. Our customers have already been able to benefit from a Big Data system from concept to operation thanks to our solution approach.

You will receive support- starting with the development of a Big Data strategy; from the definition of the system architecture to the hardware and software components and the implementation and testing of your Big Data solution. In doing so, we support you in exactly the extent and scope you need, and integrate the procedure models, reference architectures and software tools already established in your company.

Our services are:

  • Design and development of an individual Big Data system
  • Data Lake concepts for data exploration;Streaming for real-time data processing with Kafka, Spark, Flink and Storm
  • Migration of existing legacy systems taking into account historical data stocks
  • Installation and setup of Big Data clusters and cloud services

Your contact person

TIQ Geschäftsführer Andreas Richter
Andreas Richter

Technology stack and methods in the area of Big Data

  • Cloud services: Microsoft Azure, Amazon S3
  • Virtualisation: Docker, Hyper-V, Kubernetes
  • Management-Tool: Cloudera, Hue
  • Data storage: Hive, HBase
  • Query: Impala
  • Workflow management: Oozie
  • Automation: Ansible, DevOps
  • Streaming / Messaging: Kafka, Spark, Flink, Storm
  • User-Management: Kerberos, Active Directory
  • Programming languages: Java, Python, Scala
  • Lambda-Architektur

Use Case in the area of Big Data

  • Cloud Computing / Cloud Migration
  • Parallelisation of data management, preparation and processing
  • Development of an automated platform for dashboard creation
  • Automation of infrastructure construction
  • Workflow management
  • Traceability over the complete production process to increase quality
  • Real-time processing (streaming) of mass data, e.g. Social Media Data, Sensor data
  • Data exploration using Big Data e.g. for customer analytics
  • Cloud Services: Microsoft
  • Combination of real-time data with pre-aggregated data

How can we support you?

Do not hesitate to contact us! We look forward to your message.

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