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Data is every company’s most valuable asset, and dataobservability tools are indispensable for keeping an eye on data health and ensuring business continuity. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep customers happy.
In this special guest feature, Andy Petrella, CPO and founder of Kensu, points out that as application observability became a central element for DevOps teams, dataobservability is set to follow the same path and help data teams to lower maintenance costs, scale up value creation from data, and maintain trust in it.
In this contributed article, Mayank Mehra, head of product management at Modak, shares the importance of incorporating effective dataobservability practices to equip data and analytics leaders with essential insights into the health of their data stacks.
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s dataobservability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.
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On Wednesday, IBM added the dataobservability company Databand to its data fabric platform. In order to develop its dataobservability 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.
To learn more about dataobservability, don’t miss the DataObservability 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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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 DataObservability and Its Impact on the Data Operations Lifecycle appeared first on DATAVERSITY. That requires the […].
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 dataobservability.
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!
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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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 prompt you to rethink your dataobservability strategy. Learn more here.
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 dataobservability strategy. Is your data governance structure up to the task?
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 DataObservability appeared first on DATAVERSITY.
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 DataObservability for Digital Transformation appeared first on DATAVERSITY. But are they using it effectively?
So, what can you do to ensure your data is up to par and […]. The post Data Trustability: The Bridge Between Data Quality and DataObservability appeared first on DATAVERSITY. You might not even make it out of the starting gate.
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.
IMPACT 2023- The DataObservability 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.
Astro enhances data pipeline development by offering features like dynamic scaling, real-time monitoring, and comprehensive dataobservability and governance. Astronomer provides a managed platform, Astro, for running Apache Airflow® at scale.
Instead of developing a custom solution solely for the immediate concern, IBM sought a widely applicable data validation solution capable of handling not only this scenario but also potential overlooked issues. That is when I discovered one of our recently acquired products, IBM® Databand® for dataobservability.
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Establishing SLIs and SLOs will result in a simpler and more responsive observability practice, tighter alignment with the business, and a faster path to improvement.
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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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So, when dataobservers can receive automated anomaly alerts for more proactive issue detection and repair, it’s a game-changer. Combining data governance, data quality, and dataobservability capabilities helps you make more informed decisions based on the most accurate and up-to-date information.
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Alation and Bigeye have partnered to bring dataobservability 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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