VRB News
Virtual Reality Brisbane
  • Home
  • About us
  • IT news
  • Tech
  • World
  • Contact
No Result
View All Result
  • Home
  • About us
  • IT news
  • Tech
  • World
  • Contact
No Result
View All Result
No Result
View All Result
Home IT news

DataOps for data-driven companies

admin by admin
May 4, 2021
in IT news
0
DataOps for data-driven companies
0
SHARES
9
VIEWS
Share on FacebookShare on Twitter

So raw data becomes action options With DataOps to the data-driven enterprise

04.05.2021 author /
Editor:
Wolfgang Kobek *
/ Sebastian Human

Business with and around data is flourishing. But to get a part of the cake here, it is not enough to just hoard mountains of data. Intelligent data integration and automation solutions can bring order into chaos.

Companies on the topic

Even if the storage media are becoming more and more powerful: owning data does not yet make a business success, only their well thought-out storage and evaluation enables companies to make a real profit.Even if the storage media are becoming more and more powerful: owning data does not yet make a business success, only their well thought-out storage and evaluation enables companies to make a real profit.

Experience has shown that it can take a while before a person acts according to plan from his insights: to see something does not always mean to recognize it. To detect something means to understand it and to understand something, does not mean to act accordingly. This includes experience, a holistic view of the world – and always a bit of intuition. The path to data-driven corporate control works in a very similar way.

Faster and faster, more and more and more different: who deals with data, has quite something planned. Data Lakes full of structured and unstructured digital information, big data environments with real-time requirements or complex IoT scenarios: The generation and use of data drives the Analytics economy to new heights-and enables data-based value creation in almost all business processes, from purchasing to after-sales control.

“Data Hoarding” is not a strategy

But this is not self-defeating. For example, big data: Those who rely on scalable cloud solutions-and cloud – first concepts are part of their corporate strategy in more and more organizations-are no longer dependent on the capacities of their own IT infrastructure. Where previously storage limitations limited ambitious projects at some point by themselves, storage capacities and computing power are now available without end – which is comfortable, but without a strategy can also lead to downright “data hoarding”. Then data is collected first – the ” Why?”think about it later.

But that’s not all: While the cloud storage is flooded with ever new information, many companies also have a widely branched, often highly fragmented data environment, which often consists of inconsistent, inconsistent data sets and isolated data silos. Two questions therefore arise almost automatically:

  • 1. How can existing data silos be broken up?
  • 2. And how can information from all available sources be integrated into a modern analytics scenario in such a way that (error-prone) manual processes are eliminated as much as possible?

End-to-end experience based on data warehouse automation

As intelligent as possible data management is required here, which is as agile as it is high-quality. In short: a real “DataOps” approach, which already understands raw data as the first step to the data-based action option.

The idea behind this is to support later associative analytics scenarios with the previous steps (data management, processing and provision,…) from the very beginning. A decisive factor here is speed. Why? Human intuition does not take detours – nor should its data be forced to do so.

Technologically, this means using automated and process-oriented technologies, i.e. using on-demand IT resources, automating tests and automatically providing suitable, valid data sources (internal and external). Real-Time Data Integration, Change Data Capture (CDC) and Streaming data pipelines in real time are the most up-to-date methods for this and turn DataOps into an end-to-end experience that is actually based on consistent data warehouse automation: from the raw data source to the concrete data-based action option. Organizations implementing such a DataOps concept can deliver about four-fifths of the business data to their users as relevant core data.

The largely automated, operational data management on the one hand and user-friendly analytics applications at the location of the business decision thus ensure a data – based value chain – across companies and locations.

Cataloged metadata as a bridge between data sets and analysis application

In order to localize raw data in heterogeneous and widely branched data sets, merge them and examine them for comparability features, metadata catalogs are an intelligent solution approach. Metadata catalogs that work with AI engines ensure rapid and complete data delivery and enable agile data projects that can be executed and shared without infrastructure hurdles.

If you want to implement a”DataOps” concept and consistently think about the path to data-driven organization from your raw data sources to valid business insights (end-to-end), intelligent data integration should be understood as a pivotal point. Data warehouse automation can drive the appropriate speed – and also minimize the risk that manual processes mean in order to make data truly analytics-ready.

This post originally appeared on our partner portal industry-of-things.de .

* Wolfgang Kobek works as SVP EMEA at Qlik.

(ID:47374694)

Previous Post

New images of HTC’s unannounced VR headset are shown

Next Post

On the criminality of criminal platforms on the Internet

admin

admin

Related Posts

How ChatGPT can help you in everyday life
IT news

How ChatGPT can help you in everyday life

May 25, 2023
Amazon reveals the free Prime Gaming games of May 2023
IT news

Amazon reveals the free Prime Gaming games of May 2023

May 25, 2023
Safety Shoes in UAE
IT news

Protective safety footwear: Combining comfort and safety

May 23, 2023
WhatsApp will soon allow you to edit messages!
IT news

WhatsApp will soon allow you to edit messages!

May 19, 2023
Imagelaser technology: German technology regulates the iPhone display: Apple raves about a Swabian family-owned iPhone company giving details about its suppliers in Europe for the first time in years. A traditional company from Baden-Württemberg is doing particularly well. More… By Joachim Hofer and Martin-W. Buchenau
IT news

Imagelaser technology: German technology regulates the iPhone display: Apple raves about a Swabian family-owned iPhone company giving details about its suppliers in Europe for the first time in years. A traditional company from Baden-Württemberg is doing particularly well. More… By Joachim Hofer and Martin-W. Buchenau

May 17, 2023
Next Post
Encrypted data against physical attacks

On the criminality of criminal platforms on the Internet

Premium Content

The PSVR 2 will be released in early 2023

The PSVR 2 will be released in early 2023

September 12, 2022
Apache Flink is an open source stream processing framework that provides powerful stream and batch processing capabilities.

Stream Processing with Apache Flink

June 6, 2022
aGlass, eye tracking for Vive

aGlass, eye tracking for Vive

March 18, 2022

Browse by Category

  • Games
  • IT news
  • Tech
  • World

VRB News is ready to cooperate with webmasters and content creators. Send an email to info@virtualrealitybrisbane.com

Categories

  • Games
  • IT news
  • Tech
  • World

Recent Posts

  • How ChatGPT can help you in everyday life
  • Amazon reveals the free Prime Gaming games of May 2023
  • Protective safety footwear: Combining comfort and safety

© 2021 - The project has been developed ServReality

No Result
View All Result
  • Home
  • About us
  • IT news
  • Tech
  • World
  • Contact

© 2021 - The project has been developed ServReality

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?