data-management.html

---
layout: default_style
title: Data Management & Engineering
---

<section id="data-theme" class="section-global-wrapper">
    <div class="container content-space">
        <div class="row justify-content-center blog-post">
            <h2> {{page.title}} </h2>
        </div>

        <div class="row margin-top-2">
            <div class="col-md-12">
                <div class="row pr-3 pl-3 blog-post">
                    <p class="text-center"> Data Management is one of the central challenges in developing
                        modern software systems. The need for more sophisticated Data
                        Management is even more emphasized in the current times of Artificial
                        Intelligence and Big Data-based systems which have even more demanding
                        data requirements than traditional Data Management had to consider.
                    </p>
                </div>
            </div>

            <div class="col-md-12">
                <h4> Data Engineering</h4>
                <div class="row pr-3 pl-3 blog-post">
                    <p> In Data Engineering, we focus on preparing data for its deployment or usage
                        in a complex AI/data-driven system.
                        This covers for example discovering data, cleaning data, transforming data, or integrating data
                        from heterogenous
                        sources. Also, there is a focus on (domain-specific) meta-data creation and management.
                        Furthermore, aspects of data
                        biases and potentially arising societal issues like misrepresentation and unfairness become
                        focus area. Data Engineering
                        topics are often seen in the context of their application domains, like Digital Humanities,
                        medicine, but also business
                        application like banking.
                    </p>
                </div>
            </div>

            <div class="col-md-12">
                <h4> Scalable Data Management </h4>
                <div class="row pr-3 pl-3 blog-post">
                    <p> In Scalable Data Management, the focus is on how to cope with the
                        ever-increasing demand for storage and processing
                        power by scaling data operations. This covers for example methods for stream-processing but also
                        flexible distribution
                        schemes or the deployment of scalable AI-models.
                    </p>
                </div>
            </div>
        </div>

        <div class="row">
            <h4 class="col-md-12 blog-post margin-top-2">People</h4>
            <div class="col-md-12 margin-left-3">
                {% include theme-members.html team1='delta' %}
            </div>
        </div>

        <div class="row">
            <h4 class="col-md-12 blog-post margin-top-2">Projects</h4>
            <ul class="col-md-12">
                {% for project in site.data.delta.projects %}
                <li class="margin-left-3">
                    {% assign project_link = project.link | strip %}
                    {% if project_link == '' %}
                    <h5>{{project.title}}</h5>
                    {% else %}
                    <h5><a href="{{project.link}}" target="_blank"> {{project.title}}</a></h5>
                    {% endif %}
                    <p>{{project.description}}</p>
                </li>
                {% endfor %}
            </ul>
        </div>

        <div class="row" hidden>
            <h4 class="col-md-12 blog-post margin-top-2">Publications</h4>
            <ul class="col-md-12">
                <li class="margin-left-3">
                    List of publications
                </li>
            </ul>
        </div>

    </div>
</section>