Data has become one of the most valuable commodities in the world, and it can make or break a business in no time. The DataOps approach to data management is the newest and most advanced. Technology and processes in an organization can be merged with business processes through DataOps
Creating a Successful DataOps Framework for Your Business.pdfEnov8
As data is universally important and has a major role in decision-making and other business operations, a strong data-driven culture has become extremely important for business organizations.
This calls for a successful and efficient DataOps framework. Let us explore more about this emerging methodology.
In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is!
DataOps manages your data workflow and processes, plucking out various bottlenecks and roadblocks that prevent your data organisation from achieving efficient productivity and appropriate quality.
Should You Integrate DataOps in Your Business Process?Enov8
Data is the lifeblood of any business. It holds information about customers and their behaviors, products, and services. It's also the lifeblood of any enterprise — it's what keeps the lights on, keeps employees productive, and helps companies stay ahead of their competition.
And DataOps can make data management more efficient!
Go from data to decision in one unified platform.pdfwebmaster553228
According to IDC’s January 2022 Worldwide CEO Survey, 65% of organizations are using at least 10 different data engineering and intelligence tools to integrate data.
Workday users who want to learn how to use the reporting and analysis functionality of Workday Prism Analytics. Is anyone considering taking the Workday Certified Expert - Prism Analytics Exam? The Workday Prism Analytics Training course is designed for students who are already familiar with Workday and want to learn how to use the reporting and analysis functionality of Workday Prism Analytics.
Creating a Successful DataOps Framework for Your Business.pdfEnov8
As data is universally important and has a major role in decision-making and other business operations, a strong data-driven culture has become extremely important for business organizations.
This calls for a successful and efficient DataOps framework. Let us explore more about this emerging methodology.
In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is!
DataOps manages your data workflow and processes, plucking out various bottlenecks and roadblocks that prevent your data organisation from achieving efficient productivity and appropriate quality.
Should You Integrate DataOps in Your Business Process?Enov8
Data is the lifeblood of any business. It holds information about customers and their behaviors, products, and services. It's also the lifeblood of any enterprise — it's what keeps the lights on, keeps employees productive, and helps companies stay ahead of their competition.
And DataOps can make data management more efficient!
Go from data to decision in one unified platform.pdfwebmaster553228
According to IDC’s January 2022 Worldwide CEO Survey, 65% of organizations are using at least 10 different data engineering and intelligence tools to integrate data.
Workday users who want to learn how to use the reporting and analysis functionality of Workday Prism Analytics. Is anyone considering taking the Workday Certified Expert - Prism Analytics Exam? The Workday Prism Analytics Training course is designed for students who are already familiar with Workday and want to learn how to use the reporting and analysis functionality of Workday Prism Analytics.
How Can You Implement DataOps In Your Existing Workflow?Enov8
DataOps framework helps your entire workflow to stay agile. Code containerisation involves packaging your code into simple, reusable pieces so that it can be utilised across various platforms or languages.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Big data automation is gaining traction as industries start capturing more data. Know how data analysts and data scientists can take advantage of automation.
Big data automation is gaining traction as industries start capturing more data. Know how data analysts and data scientists can take advantage of automation.
https://www.dasca.org/
What is DataOps Platform? Why your team needs it?Enov8
DataOps, Data operations are process-oriented for data teams. DevOps methodologies are very fast and easy to maintain. Good DataOps platforms can help your company in streamlining, automating and managing the data pipelines. Data teams use the platforms of DataOps as a centralized command to organize data at different stages in one place.
Data analytics tools help organizations derive insights from vast amounts of data, enabling informed decision-making, identifying trends and patterns, personalizing customer experiences, optimizing processes, and driving innovation and competitive advantage.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
7 Emerging Data & Enterprise Integration Trends in 2022Safe Software
2021 was a year full of unexpected data integration challenges, but one thing that didn’t change was the continued growth of the importance and value of data. By watching our customers adapt and cope through the consistent application of technology, we’ve learned that the future can be quickly adjusted to if we have up-to-date and readily available data to make decisions.
As we consider the data integration landscape and look forward into 2022, we see a set of trends (some new, some old) that data leaders will need to consider as they work to provide competitive business value to their organizations:
- The Continued Importance of Spatial
- Data Ops as a Practice
- Rising Data Volumes Demand Data Quality
- Ubiquitous Hardware Supporting Augmented Reality
- Agile Enterprise Integration Effortlessly Connects Systems
- Real-Time Data Stream Processing
- Flexible, Hybrid Deployment Options
- Cost effective ARM based processing
In this webinar, join co-founders Don Murray and Dale Lutz as they offer insight and predictions on what’s to come in these areas. To follow, they’ll host a Q&A session where you can get feedback and advice on solutions to your data challenges.
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
How Can You Implement DataOps In Your Existing Workflow?Enov8
DataOps framework helps your entire workflow to stay agile. Code containerisation involves packaging your code into simple, reusable pieces so that it can be utilised across various platforms or languages.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Big data automation is gaining traction as industries start capturing more data. Know how data analysts and data scientists can take advantage of automation.
Big data automation is gaining traction as industries start capturing more data. Know how data analysts and data scientists can take advantage of automation.
https://www.dasca.org/
What is DataOps Platform? Why your team needs it?Enov8
DataOps, Data operations are process-oriented for data teams. DevOps methodologies are very fast and easy to maintain. Good DataOps platforms can help your company in streamlining, automating and managing the data pipelines. Data teams use the platforms of DataOps as a centralized command to organize data at different stages in one place.
Data analytics tools help organizations derive insights from vast amounts of data, enabling informed decision-making, identifying trends and patterns, personalizing customer experiences, optimizing processes, and driving innovation and competitive advantage.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Data as a Service (DaaS): The What, Why, How, Who, and WhenRocketSource
Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
7 Emerging Data & Enterprise Integration Trends in 2022Safe Software
2021 was a year full of unexpected data integration challenges, but one thing that didn’t change was the continued growth of the importance and value of data. By watching our customers adapt and cope through the consistent application of technology, we’ve learned that the future can be quickly adjusted to if we have up-to-date and readily available data to make decisions.
As we consider the data integration landscape and look forward into 2022, we see a set of trends (some new, some old) that data leaders will need to consider as they work to provide competitive business value to their organizations:
- The Continued Importance of Spatial
- Data Ops as a Practice
- Rising Data Volumes Demand Data Quality
- Ubiquitous Hardware Supporting Augmented Reality
- Agile Enterprise Integration Effortlessly Connects Systems
- Real-Time Data Stream Processing
- Flexible, Hybrid Deployment Options
- Cost effective ARM based processing
In this webinar, join co-founders Don Murray and Dale Lutz as they offer insight and predictions on what’s to come in these areas. To follow, they’ll host a Q&A session where you can get feedback and advice on solutions to your data challenges.
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Connector Corner: Automate dynamic content and events by pushing a button
A Detailed Guide To DataOps
1. A Detailed Guide To DataOps
What is DataOps?
● DataOps is a set of practices combining data analytics, operations
management, machine learning, and automation engineering to improve
the quality, speed, and efficiency of data-driven decisions.
● Most programs developed by data pipeline developers come under four
segments-- Big data, data science, self-service analytics, and data
warehousing.
● DataOps tools focus on collaboration and communication that's vital to
scale development, enhance productivity and output, minimise errors, and
speed up the time to market.
● You'll typically find five categories of DataOps tools popular in the market
today: all-in-one.
● tools, orchestration tools, case-specific tools, component tools, and
open-source tools
Use the correct IT management tool and DataOps framework to integrate
DataOps smoothly into your organisational workflow.
2. Challenges Solved By DataOps
Big data made an imported promise- Deliver fast and reliable data-driven, critical and
actionable business insights. However, the promise remains unfulfilled due to various
challenges that can be classified into three categories:
● Organisational challenges
● Technical hurdles
● Manual errors
DataOps leverages the principles of Agile development, DevOps and Lean
manufacturing to address these challenges. The most important challenges resolved by
DevOps include the following:
Speed
Modern organisations source their data from various sources. Additionally, data is
stored in various forms.
However, cleaning and improving such a huge variety of data can be complicated and
time-consuming. Sometimes, the insights generated after processing such complex
data becomes irrelevant or invalid due to extensive time requirement.
DataOps strikingly enhances the speed of processing data and delivering insights.
Data Type
Sometimes organisational data sets include unstructured format. Extracting information
from such data formats can be a challenging task.
However, search data sources are business-critical and might provide valuable insights
into emerging business challenges. Therefore it is vital for organisations to convert
search unstructured data form into structured formats.
DataOps enables organisations to identify, collect, and utilise data from every data
source available to them.
3. Data Siloes
This is one of the most pivotal advantages of DataOps. DataOps eliminates data silos
within an enterprise and facilitates data centralisation.
The data of approach also work towards developing a resilience system to enable
self-service for every relevant stakeholder. Consequently, data accessibility becomes
simple.
Benefits of DataOps
● Maximising Data Utilization
● Right Insights at the Right Time
● Improved Data Productivity
● Data Pipelines Optimised for Results
Data Management: DataOps Principles
Cloud-first and distributed data management approach
Cloud-first and distributed data management approach is the next big thing in DataOps.
The main reason is that it can reduce your costs by up to 80%.
It is important for organisations to have a distributed approach because it allows them to
scale up their data storage capabilities as needed.
This is necessary for today's highly competitive market, where companies must have
the ability to store large amounts of information on multiple servers and keep it updated
with real-time processing.
The benefits of this approach include the following:
● Reduced storage costs by eliminating backup requirements;
● Enabling faster reporting and analysis;
● Eliminating downtime due to updates;
● Improved security through encryption and access controls;
● Being able to access your data from any device or location with an internet
connection.
4. Also read : 7 Incredible Test Automation Trends For 2022 (Also Continue In
2023)
Highly Automated Data Infrastructure
DataOps is the process of improving the quality of your data, thereby increasing
business performance. In a world where companies are competing on speed and agility,
it's important to know what data is accurate and where you need to improve.
Automated data infrastructure allows you to invest in improving your accuracy at scale,
ensuring that every single entry in your system is up-to-date and accurate.
Automated data infrastructure has many benefits for DataOps teams.
● Automated data infrastructure reduces the time it takes to get a new data system
up and running, decreasing the risk of human error and making it easier to scale
up quickly when needed.
● Automated data infrastructure allows teams to focus on their core competencies
rather than maintaining manual systems that they might not be best suited to
work with. This can allow them to build systems that are more flexible, easier to
maintain, and more cost-effective over their lifetimes than traditional manual
approaches.
● Automated data infrastructure allows organisations to make more efficient use of
their existing resources by enabling them to focus on what matters most:
developing and deploying new applications in a timely manner without having to
worry about how everything is connected together behind the scenes or how
much time it takes for one team member's change request to go through all of the
stages required before being deployed into production.
Continuous Integration, Delivery and Deployment
● Continuous Integration: DataOps discovers, collates, integrates, and enables
data availability coming from several sources dynamically. When new data
sources are added for processing in DataOps teams, it gets automatically
integrated into the data pipelines and made available to relevant stakeholders
using AI/ML IT management tool.With automation, end-to-end processes,
5. starting from data discovery to curation, transformation, and insights
customisation, everything is completely streamlined.
● Continuous Delivery: The criticality and practicality of insights determine the
value of organisational data. Easy data accessibility facilities the extraction of
better insights. However, easy data accessibility brings data governance
challenges. DataOps streamlines data governance throughout the enterprise
while supporting data democracy and accessibility and enhancing its security and
privacy.
● Continuous Deployment: Digital businesses leverage sophisticated data-driven
apps to make real-time decisions that might have far-reaching implications on the
organisation's future. Updated data readability is essential for mission-critical
functions, including fraud detection, sales, supply chain management, etc.
Continuous deployment makes access to fresh data seamless for all users.
Get the best IT management tool to integrate DataOps into your organisational
framework.
Contact Us
Company Name: Enov8
Address: Level 2, 447 Broadway New York, NY 10013 USA
Email id: enquiries@enov8.com
Website: https://www.enov8.com/