DataOps Platforms Statistics


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Dataops Platforms Statistics 2023: Facts about Dataops Platforms outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Dataops Platforms, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

How much of an impact will Dataops Platforms Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.

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Top Dataops Platforms Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 8 Dataops Platforms Statistics on this page 🙂

Dataops Platforms “Latest” Statistics

  • Gartner predicts that by 2023, 70% of organizations will use value stream management to improve processes in the DevOps [or DataOps] pipeline to deliver faster value to customers.[1]
  • At least 80% of the business value of a modern data platform is delivered through change over time, not based on initial requirements.[1]
  • IDC research predicts that by 2020 we will have 44 GB of data worldwide, up from 3 exabytes in 1986.[2]
  • Only 17 percent of the 2,197 CIOs interviewed for the DataOps study felt that the strategic impact of DevOps on their organization was much less than that of big data (41 percent) and public cloud infrastructure-as-a-service (39 percent).[1]
  • Data volume on the internet is expected to grow at a CAGR of 32% to 180 zettabytes by 2025.[1]
  • The amount of data on the Internet is expected to grow at a compound annual growth rate of 32% to 180 terabytes by 2025.[1]
  • According to Gartner’s 2021 paper, “Evaluating Data Warehouse Automation Opportunities,” Xpert BI software was used as a case study to demonstrate that data warehouse automation can simplify DataOps implementations.[1]
  • IDC research shows that by 2023, 60% of organizations will have started implementing industrial DataOps solutions.[3]

Also Read

How Useful is Dataops Platforms

DataOps platforms are designed to streamline and automate the process of managing data throughout its lifecycle. These platforms combine DevOps practices – such as collaboration, integration, and automation – with data management principles to create an efficient and agile data processing environment. By leveraging DataOps platforms, organizations can accelerate their data pipelines, eliminate silos, and improve data quality.

One of the key benefits of using DataOps platforms is the ability to manage data more efficiently. Traditional data management practices often involve time-consuming manual processes, multiple handoffs, and limited visibility into data pipelines. DataOps platforms automate these tasks, allowing organizations to create scalable, repeatable, and auditable data pipelines. This not only reduces the time and effort required to process data but also improves data quality by reducing human error.

Another advantage of DataOps platforms is their ability to break down silos within organizations. Silos are a common challenge in many organizations, where different departments and teams operate in isolation, leading to inefficiencies and data inconsistencies. By implementing DataOps platforms, organizations can break down silos by fostering collaboration and transparency across different teams. This not only improves data governance but also enables organizations to make better-informed decisions based on a holistic view of their data.

Furthermore, DataOps platforms enable organizations to be more agile and responsive to changing business needs. In today’s fast-paced business environment, organizations must be able to quickly adapt to market trends and customer requirements. DataOps platforms create flexible data pipelines that can easily accommodate changes in data sources, formats, or business requirements. This agility allows organizations to make data-driven decisions more rapidly, giving them a competitive edge in the marketplace.

Moreover, DataOps platforms can enhance data security and compliance. Data breaches and regulatory compliance are top concerns for organizations, given the increasing amount of data being processed and stored. DataOps platforms provide built-in security features, such as encryption, access control, and data masking, to protect sensitive information. Additionally, these platforms offer audit trails and data lineage tracking capabilities, making it easier for organizations to demonstrate compliance with data protection regulations.

In conclusion, DataOps platforms have become a critical component of modern data management practices. By automating data processes, breaking down silos, improving agility, and enhancing security and compliance, these platforms enable organizations to extract actionable insights from their data more effectively. As data continues to grow in volume and complexity, organizations that embrace DataOps platforms will have a competitive advantage in unlocking the full potential of their data assets.

Reference

  1. webinarcare – https://webinarcare.com/best-dataops-platforms/dataops-platforms-statistics/
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  3. cognite – https://www.cognite.com/en/blog/i-already-have-an-mes.-why-do-i-need-an-industrial-dataops-platform

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