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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

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Azure Data Engineer Job Description [Roles and Responsibilities]

Knowledge Hut

You can learn deeply about the Azure learning journey that leads to the position of an Azure Data Engineer Associate on the Microsoft Azure platform. Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform.

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Visionary Data Quality Paves the Way to Data Integrity

Precisely

Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

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Big Data vs. Crowdsourcing Ventures - Revolutionizing Business Processes

ProjectPro

"- said Martha Crow, Senior VP of Global Testing at Lionbridge Big data is all the rage these days as various organizations dig through large datasets to enhance their operations and discover novel solutions to big data problems. Organizations need to collect thousands of data points to meet large scale decision challenges.

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Customer Master Data 101: Challenges and Solutions

Precisely

With Automate Studio , you can quickly build an Excel-based solution to extract customer records based on your chosen criteria, identify duplicates, and flag them accordingly. Then with a click of a button, change the status of those records in SAP – no coding required.

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Data Migration Risks and the Checklist You Need to Avoid Them

Monte Carlo

Whether you’re migrating to a new cloud data solution or deploying a new tool, data reliability is as important as it’s ever been. In fact, given how the cloud and real-time data often go hand in hand, one could even argue it’s more important now than it’s ever been.

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The DataOps Vendor Landscape, 2021

DataKitchen

Observe, optimize, and scale enterprise data pipelines. . Validio — Automated real-time data validation and quality monitoring. . LightUp Data — Proactively detect and understand changes in product data that are symptomatic of deeper issues across the data pipeline – before they are noticed.