Mit Data Governance werden Nachvollziehbarkeit, Qualität und Schutz von Daten sichergestellt.

Big Data, Data Lake & Data Warehousing

When collecting and storing Big Data, we decide whether Data Warehouse or Data Lake is the right platform for you based on your requirements.
Contact us now

What is Big Data?

Big Data refers to particularly large volumes of data that are collected, stored, processed and analyzed from a wide variety of sources.

They are characterized by their size, complexity, fast-moving nature and weak structuring. Big Data plays a particularly important role in the context of Business Intelligence (BI). In analyzing collected data, BI makes use of systematic approaches and, in particular, new software solutions for evaluating large volumes of data and improving the speed of data processing. 

Date Warehouse vs. Data Lake – Platforms for storing Big Data

When it comes to storing Big Data, the terms Data Warehouse and Data Lake have established and are suitable in different ways depending on the requirements. 

 

Data Warehouse

Data Warehouse captures structured data in mostly tabular form that has been processed for a specific purpose.
The data model is therefore predefined, which results in less flexibility of new data sources, but at the same time data in a Data Warehouse is very robust and easy to maintain. One approach to modeling Data Warehouses is the Data Vault.

Data Lake

Data Lake, on the other hand, captures both structured and unstructured data whose purpose has not yet been defined.
Since the data model is not defined until it is read, this is a potential source of error. In contrast, Data Lakes are very flexible and scalable.

Request a non-binding exchange

A selection of our customer projects

In numerous customer projects, we have successfully used Data Warehouse or Data Lake to store Big Data. Read the reference stories here:

Referenz 25.02.25

vdek führt neue Data-Warehouse-Lösung ein

Die TIMETOACT GROUP unterstützt den Verband der Ersatzkassen e. V. bei der Umstellung einer Systemumgebung auf neueste IBM-Technologie.
Referenz 01.10.24

Data Fabric im Krankenhaus - Agaplesion

Die Implementierung einer Data Fabric auf Basis des IBM Cloud Pak for Data System ermöglicht AGAPLESION, komplexe Analysen durchzuführen. Dadurch wird die Kosten- und Leistungstransparenz in der Patientenversorgung erhöht und die Grundlage für zukünftige KI-Anwendungen geschaffen.
Referenz 24.10.23

Hoch-performante Software für datenbasierte Entscheidungen

TIMETOACT begleitet die Hymer-Leichtmetallbau bei der Einführung von IBM Planning Analytics with Watson – für eine intelligente Unternehmensplanung sowie ein flexibles Reporting

Referenz 25.10.22

Interaktives Onlineportal identifiziert passende Mitarbeiter

TIMETOACT digitalisiert für KI.TEST mehrere Testverfahren zur Bestimmung der beruflichen Intelligenz und Persönlichkeit.
Referenz 27.01.22

Talend Migration in Rekordzeit

TIMETOACT migrierte innerhalb kürzester Zeit die Talend Data Integration Suite inkl. aller Workflows und Prozesse auf die interne Systemumgebung der Stadtwerke (mit einer Subscriptions-Lizenz) und unterstützt auch in Zukunft als Supportpartner im Bedarfsfall.
Referenz 29.10.21

Standardisiertes Datenmanagement schafft Basis für Reporting

TIMETOACT implementiert für TRUMPF Photonic Components ein übergeordnetes Datenmodell in einem Data Warehouse und sorgt mit Talend für die notwendige Datenintegrationsanbindung. Mit diesem standardisierten Datenmanagement erhält TRUMPF künftig Reportings auf Basis verlässlicher Daten und kann das Modell auch auf andere Fachabteilungen übertragen.

Data Warehouse or Data Lake?

Which platform suits you better?

Whether Big Data, Data Lake, or Data Warehouse – the focus is always on the collection and storage of company-wide, sometimes mission-critical data. Initially, the technology should not be in the foreground. Instead, the right architecture and (combination of) technologies are selected based on the business requirements and restrictions. 

Based on these individual requirements, we decide what is better suited for your project: 

Data Structure

Structured data can be stored and analyzed excellently in relational databases, whereas other technologies can show their advantage with unstructured data.

Power

Giga, tera or petabyte? Response times in seconds or minutes for dozens or thousands of users?

Stability

At the latest, when the analytic solution is used to support enterprise-wide decision-making, failure must be minimized, backup must be assured, and scalability must be ensured.

Costs

Make or buy, Cloud or on-premises, scalable or "small footprint" - every decision must also be evaluated in terms of cost.

Procedure for the implementation of Big Data, Date Warehouse and Date Lake

  • Determine requirements based on previous and future requirements.

    Either we determine the requirements together with you in the Data Warehouse / Big Data Workshops and design an architecture, or there is already a preexisting one? If necessary, we also carry out a modernization of your platform.

  • Development and implementation of a functional platform.

    Depending on the architecture on-premises / SaaS / IaaS we design the platform and implement it.

  • Modeling, construction and Data Integration

    After the technical provision, we move on to the business implementation: modeling of the data model, creation of the Data Integration processes, etc.

  • Ongoing support of the project

    Whether jointly developed in workshops, or specified; whether realization by you, us or third parties.

Our services on Big Data, Data Warehouse und Data Lake

We are committed to finding and implementing the best technology for our customers' applications. To do this, we use a concept of workshops that build on each other.

Expertise

A team of experienced project managers, DHW architects and experts design (if no solution concept is yet available) and develop the complete analytical solution

Technical provision

Whether SaaS, IaaS or on-premises: We carry out the provision of services in the Hybrid Cloud for our customers. Depending on the requirements, we develop the perfect approach and provide the technical basis.

Operation and support

Numerous customers already rely on our expertise when it comes to ensuring the operation of the analytical platform. With our trained specialists, we ensure the operation of the systems and accessibility.
Request a non-binding exchange

The right vendor for every project:

Are you looking for technical support on Big Data, Data Warehouse and Data Lake? We work with OpenSource technologies and commercial solutions from the following vendors:

IBM

In many aspects of data warehousing, but especially in data lakes and noSQL databases, open source tools play an important role: Spark, Hadoop, MongoDB to name a few. Depending on your requirements, we also use other open source technologies.
Learn more
Logo Microsoft

Microsoft

Relational IBM databases such as Db2 / Db2 Warehouse or Netezza Performance Server, or Object Storage are platforms for data warehouse or data lake solutions.
Learn more
Google Logo

Google

With SQL Server for on-premise, or various databases on Azure incl. DataBricks and Data Lake Storage, Microsoft offers technologies for the development of data warehouses and data lakes.
Learn more

Snowflake

The Oracle database has been considered a powerful platform for analytical applications for many decades and is used by us in data warehouse projects.
Learn more
Logo Oracle

Oracle

The Oracle database has been regarded as a powerful platform for analytical applications for many decades and is used by us in data warehouse projects.
Learn more
Logo Open Source

Open Source

Open source technologies play an important role in many aspects of data warehousing, but especially in data lakes and noSQL databases: Object Stores, Spark, Hadoop, Kafka, Postgres or MongoDB, to name just a few. Depending on your requirements, we also use other open source technologies.
Learn more

Contact us now!

We would be happy to advise you in a non-binding conversation and show you the potential and possibilities of Data Lake, Data Warehouse and Big Data. Just leave your contact details and we will get back to you as soon as possible.

* required

We use the information you send to us only to contact you in context of your request. For this purpose, we store your data in our CRM for up to 6 months. You can find all further information in our Privacy Policy.

Please solve captcha!

captcha image
Martin Clement
Teamleiter Analytics TIMETOACT Software & Consulting GmbH
Contact
Easy Cloud Solution
Produkt

Big Data

Extract valuable information from data - Take advantage of serverless, integrated end-to-end data analytics services to leave traditional limitations behind.

Headerbild zu Talend Real-Time Big Data Platform
Technologie

Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.
Header Konnzeption individueller Business Intelligence Lösungen
Service

Conception of individual Analytics and Big Data solutions

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation!
Referenz 10/29/21

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.
Headerbild zu Data Governance Consulting
Service

Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

Branche

Healthcare

IT and digitalisation are too often seen in Germany as pure cost drivers, without taking into account the revenue opportunities and potentials. We know the challenges in the healthcare sector and help you find the best IT solutions.

Technologie Übersicht

We are your partner around Snowflake

With the Snowflake Data Cloud, you manage your data centrally in one place. We are happy to support and advise you on Snowflake.
Teaserbild zu Data Integration Service und Consulting
Service

Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.
Training
Service

Training

Do you have a special topic you want to be trained in? Please contact us. We will find and arrange the right training offer for you.

Technologie Übersicht

Consulting and solutions for AWS services

As a leading AWS Select Partner, we are at your side with help and advice. From strategy development to migration and optimization - with the extensive suite of AWS services, we will work with you to find the perfect solution for your requirements.
Headerbild zu Dashboards und Reports
Service

Dashboards & Reports

The discipline of Business Intelligence provides the necessary means for accessing data. In addition, various methods have developed that help to transport information to the end user through various technologies.
Kompetenz 2/25/25

Hybrid Cloud

Companies can tailor their process support needs by using existing in-house IT landscapes in combination with different cloud enterprise solutions and cloud infrastructure services. We would be happy to advise you on your options in the area of hybrid cloud IT.
Headerbild zu Talend Data Fabric
Technologie

Talend Data Fabric

The ultimate solution for your data needs – Talend Data Fabric includes everything your (Data Integration) heart desires and serves all integration needs relating to applications, systems and data.
Headerbild zu Data Vault
Service

Data Vault Modeling Approach

Data Vault is a modeling technique that is particularly suitable for agile Data Warehouses. It offers high flexibility for extensions, complete historization of data and allows parallelization of data loading processes. Data Vault supports without significantly increasing the complexity of the Data Warehouse over time.

Headerbild zu Open Source Lizenzmanagement
Technologie 2/25/25

Open Source Compliance

Prevent risks with optimal license management. We are at your side and show you the rights and obligations of the individual licenses.
Headerbild IBM Cloud Pak for Data
Technologie

IBM Cloud Pak for Data

The Cloud Pak for Data acts as a central, modular platform for analytical use cases. It integrates functions for the physical and virtual integration of data into a central data pool - a data lake or a data warehouse, a comprehensive data catalogue and numerous possibilities for (AI) analysis up to the operational use of the same.
Headerbild Talend Data Integration
Technologie

Talend Data Integration

Talend Data Integration offers a highly scalable architecture for almost any application and any data source - with well over 900 connectors from cloud solutions like Salesforce to classic on-premises systems.
Headerbild zu Mendix in der Fertigungsindustrie
Technologie

Mendix in the manufacturing industry

Have solutions designed directly by the experts in your company's divisions and thus ensure that the solution implements the exact requirements of the specialist department. Use a wide variety of connectors to collect and evaluate all decision-relevant information.
Headerbild für lokale Entwicklerressourcen in Deutschland
Branche

On-site digitization partner for insurance companies

As TIMETOACT GROUP, we are one of the leading digitization partners for IT solutions in Germany, Austria and Switzerland. As your partner, we are there for you at 17 locations and will find the right solution on the path to digitization - gladly together in a personal exchange on site.
Headerbild zu IBM Spectrum Protect
Technologie 2/25/25

IBM Spectrum Protect

Spectrum Protect is the leading data protection solution from the American industry leader IBM. As TIMETOACT, we take a holistic view of cyber security and focus on building resilient IT and OT.

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!