Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data.

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Dataversity

MARCH 13, 2023

These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […] The post Data Observability vs. Monitoring vs. Testing appeared first on DATAVERSITY.

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Pickl AI

OCTOBER 10, 2023

In this blog, we are going to unfold the two key aspects of data management that is Data Observability and Data Quality. Data is the lifeblood of the digital age. Today, every organization tries to explore the significant aspects of data and its applications. What is Data Observability and its Significance?

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Precisely

SEPTEMBER 18, 2023

Author’s note: this article about data observability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Is your data ready to use? That’s what makes this a critical element of a robust data integrity strategy. What is Data Observability?

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Dataversity

NOVEMBER 7, 2022

Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality. Data observability has been all the rage in data management circles for […].

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The Data Administration Newsletter

NOVEMBER 14, 2023

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

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Precisely

MAY 4, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may require consider your data observability strategy. Is your data governance structure up to the task?

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Dataversity

JUNE 29, 2022

You want to rely on data integrity to ensure you avoid simple mistakes because of poor sourcing or data that may not be correctly organized and verified. The post Data Observability and Its Impact on the Data Operations Lifecycle appeared first on DATAVERSITY. That requires the […].

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Dataconomy

DECEMBER 12, 2022

Data observability is a critical concept in today’s fast-paced and data-driven world. It refers to the ability of teams to proactively review and discover insights from their data in real time without experiencing significant data downtime.

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Data Science Connect

MARCH 22, 2023

To learn more about data observability, don’t miss the Data Observability tracks at our upcoming COLLIDE Data Conference in Atlanta on October 4–5, 2023 and our Data Innovators Virtual Conference on April 12–13, 2023! Are you struggling to make sense of the data in your organization?

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Dataconomy

JULY 13, 2022

On Wednesday, IBM added the data observability company Databand to its data fabric platform. In order to develop its data observability technology, Tel Aviv, Israel-based Databand, founded in 2018, had raised $14.5 The deal’s financial details weren’t made public. million in funding.

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KDnuggets

OCTOBER 26, 2023

This year, the Monte Carlo Data team has outdone themselves! Check out talks and panels from pioneering data and AI companies, networking, giveaways, and more. Register for the virtual summit today!

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Dataversity

OCTOBER 21, 2022

Right now, over 12% of Fortune 1000 businesses have invested more than $500 million into big data and analytics, according to a NewVantage Partners survey. The post How Enterprises Can Leverage Data Observability for Digital Transformation appeared first on DATAVERSITY. But are they using it effectively?

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Dataversity

APRIL 25, 2022

If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. The post Solving Three Data Problems with Data Observability appeared first on DATAVERSITY.

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Dataversity

AUGUST 15, 2022

So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and Data Observability appeared first on DATAVERSITY. You might not even make it out of the starting gate.

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Flipboard

SEPTEMBER 28, 2023

million in new funding for its artificial intelligence enterprise observability platform that helps companies keep track of their data costs, usage and performance. Revefi co-founders Sanjay Agrawal, left, and Shashank Gupta. Revefi Photo) Seattle startup Revefi raised $10.5

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insideBIGDATA

JUNE 13, 2023

Bigeye, the data observability company, announced the results of its 2023 State of Data Quality survey. The report sheds light on the most pervasive problems in data quality today. The report, which was researched and authored by Bigeye, consisted of answers from 100 survey respondents.

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KDnuggets

AUGUST 30, 2022

Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.

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KDnuggets

DECEMBER 2, 2022

Join JetBlue on 12/8 10AM PT to learn how their data engineering team achieves end-to-end coverage in their Snowflake data warehouse with the power of Monte Carlo and data observability.

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Hacker News

JULY 17, 2023

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Precisely

MAY 8, 2023

So, when data observers can receive automated anomaly alerts for more proactive issue detection and repair, it’s a game-changer. Combining data governance, data quality, and data observability capabilities helps you make more informed decisions based on the most accurate and up-to-date information.

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Precisely

JUNE 6, 2023

That means finding and resolving data quality issues before they turn into actual problems in advanced analytics, C-level dashboards, or AI/ML models. Data Observability and the Holistic Approach to Data Integrity One exciting new application of AI for data management is data observability.

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ODSC - Open Data Science

FEBRUARY 14, 2023

Beyond Monitoring: The Rise of Data Observability Shane Murray Field | CTO | Monte Carlo This session addresses the problem of “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate — and how to eliminate it in your data ecosystem with end-to-end data observability.

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Precisely

JANUARY 9, 2023

Read the Report Improving Data Integrity and Trust through Transparency and Enrichment Read this report to learn how organizations are responding to trending topics in data integrity.

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ODSC - Open Data Science

JULY 20, 2023

Video of the Week: Beyond Monitoring: The Rise of Data Observability Watch as Monte Carlo’s Shane Murray introduces “Data Observability” as the game-changing solution to the costly reality of broken data in advanced data teams.

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Precisely

FEBRUARY 10, 2023

By automating the collection of intelligence about data, inferring relationships among various data entities, and detecting anomalies, AI automates many of the key elements of data integrity – including data observability, data quality, and data enrichment.

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ODSC - Open Data Science

FEBRUARY 28, 2023

Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Bigeye’s data observability platform helps data science teams “measure, improve, and communicate data quality at any scale.”

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Data Science Dojo

OCTOBER 10, 2023

IMPACT 2023- The Data Observability Summit (Virtual event – November 8) Focus on Data and AI : The summit will illuminate how contemporary technical teams are crafting impactful and performant data and AI products that businesses can rely on.

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phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. Having model-level data validations along with implementing a data observability framework helps to address the data vault’s data quality challenges.

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Precisely

SEPTEMBER 14, 2023

Assessing the impact – if a change is made to the data, how does that affect your overall compliance landscape? Data observability – understanding and informing/becoming informed of any changes or exceptions occurring within your compliance data. Visibility into business and technical quality rules.

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Alation

DECEMBER 7, 2021

Alation and Bigeye have partnered to bring data observability and data quality monitoring into the data catalog. Read to learn how our newly combined capabilities put more trustworthy, quality data into the hands of those who are best equipped to leverage it.

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Data Science Dojo

NOVEMBER 15, 2023

Learn more about the Data Observability Summit AI Expo in Austin The AI Expo is a yearly conference in Austin, Texas, organized by Amazon, which showcases the latest advancements in artificial intelligence (AI). The summit will be held on November 8th, 2023.

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Precisely

APRIL 11, 2023

Replicate data into the data cloud of your choice using hundreds of connectors. Step 3: Observe the data With the data replicated to the cloud, you can observe the data using the Data Observability service.

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Precisely

JULY 17, 2023

The Suite comprises seven interoperable cloud services: Data Quality, Data Integration, Data Observability, Data Governance, Data Enrichment, Geo Addressing, and Spatial Analytics.

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ODSC - Open Data Science

MAY 16, 2023

The mesh approach allows for more streamlined data-driven decisions and processes within specific departments and puts responsibility in the hands of the people who actually use the information. AI in Data Observability Automation has steadily become more common in data management software, but it’ll reach new heights in 2023.

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IBM Data Science in Practice

NOVEMBER 28, 2022

Customer 360 : create a comprehensive view of client Multicloud data integration : integrate data across any hybrid and multicloud landscapes Data governance and privacy : automate to manage data trust, protection and compliance MLOps and trustworthy AI : enable an end-to-end AI workflow infused with data governance and privacy Data observability : (..)

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Precisely

MAY 31, 2023

The Suite’s Data Governance service tightly integrates with the Data Catalog to enable business and IT to collaborate, share data insights, have greater visibility into the most critical data assets across the entire enterprise.

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