Big Data & Analytics - Onlineportal von IT Management

Faster and smarter processes

The future belongs to data streaming pipelines

14. May, 2024 - 05:42

Data is a company’s capital. However, despite its immense relevance, it is still fragmented and stored in different formats in numerous legacy and cloud-based systems. To facilitate access to this data, most IT departments centralize as much information as possible.

Extreme weather as the "new normal"

Big data, AI and ML: Resilient infrastructure against extreme weather conditions

29. May, 2024 - 05:21

The extreme weather events of summer 2023 show the catastrophic impact climate change can have on infrastructure and communities.

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Green coding – sustainability through data streaming

30. May, 2024 - 05:23

It is no longer a secret that big data can have a significant impact on the environment. Data helps to streamline processes, make environmental policy decisions and develop new, more sustainable ways of working.

5 steps

Protect data always and everywhere

13. June, 2024 - 10:21

The days when company data was restricted to the company network are long gone. Today, it can be found practically everywhere: on the web, in the cloud and on a wide variety of end devices – including private ones. How can data security be implemented reliably and efficiently in such a

Comment: Bring Your Own Model

How data scientists minimize the “pilot-to-production gap”

13. June, 2024 - 11:30

When a technology, system or solution is to be successfully transferred from the test or pilot phase to the production environment, there are often difficulties with scaling and performance or even data quality, availability and maintenance.

The transformation of traditional data analysis

Data intelligence: The next evolution in data analysis

30. April, 2025 - 11:49

What are the differences between big data, business intelligence and business analytics and how do I move from a sea of data to added data value in the company? Data intelligence plays a central role here, as it bridges the gap between pure data collection and intelligent, automated value

Data management

Cleaning Up the Chaos and Elevating Unstructured Data Value

04. March, 2025 - 17:20

Unstructured data – i.e., text, videos, images, social media posts, and more – makes up the bulk of the world’s data, with 80-90% of all data falling into this category. As such, it represents a virtual gold mine of insights, just hiding and waiting to give savvy businesses a

Future-proof data integration: five key functions for companies

24. September, 2024 - 11:51

In the rapidly changing IT landscape, companies need flexible data integration tools. The integration of cloud and on-premises systems in real time is becoming increasingly important. Five key functions ensure a successful, future-proof data strategy.

Efficient analyses

How data mining reveals the secrets of masses of data

24. July, 2024 - 14:17

If data is the oil of the 21st century, most companies are sitting on huge deposits that they can no longer extract on their own. In order to gain truly valuable insights from the growing masses of data, they need efficient analyses – such as data mining.

Retail Analytics

Forecasting: the key to data-driven retail decisions

07. July, 2024 - 05:58

From predicting the measurements of a patient in an intensive care unit to forecasting the movement of economic rhythms – forecasting makes it possible to predict the future with a certain degree of certainty and plan accordingly.

Achieving sustainability goals

Improving the sustainability of data storage

03. July, 2024 - 10:22

In times of climate crisis, companies want and need to operate more sustainably in order to reduce their carbon footprint. To achieve this, most organizations are actively working on sustainability strategies or already have them in place.

Flood of data

Tool Sprawl – Unified Observability is the key

20. June, 2024 - 05:34

Today’s companies are faced with a constantly growing flood of data. In addition, many are struggling with a large number of different monitoring tools in order to get to grips with these volumes of data and prepare them for well-founded decisions.

Computer vision and the data-centric AI pipeline

What is data-centric AI?

17. June, 2024 - 05:52

Data-Centric AI (DCAI) represents a pioneering approach in AI by focusing on the quality and relevance of data to optimize machine learning models and system performance.

Comment: Bring Your Own Model

How data scientists minimize the “pilot-to-production gap”

13. June, 2024 - 11:30

5 steps

Protect data always and everywhere

13. June, 2024 - 10:21

The future belongs to data streaming pipelines

Big data, AI and ML: Resilient infrastructure against extreme weather conditions

Green coding – sustainability through data streaming

Protect data always and everywhere

How data scientists minimize the “pilot-to-production gap”

Data intelligence: The next evolution in data analysis

Cleaning Up the Chaos and Elevating Unstructured Data Value

Future-proof data integration: five key functions for companies

How data mining reveals the secrets of masses of data

Forecasting: the key to data-driven retail decisions

Improving the sustainability of data storage

Tool Sprawl – Unified Observability is the key

What is data-centric AI?

How data scientists minimize the “pilot-to-production gap”

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