Data Related Topics 
Christophe Blefari
MAY 17, 2024
The sun is out, the days are getting longer and Data News is still here. Let me introduce an application of this on the Data Council 2024 80 videos. Data Council 2024 ✨ Data Council Austin is according to me one of the best conference when it comes to think about the future of data.
Start Data Engineering
APRIL 22, 2024
Most data projects use Docker to set up the data infra locally (and often in production). Communicate between containers and local OS 2.2.2. Start containers with docker CLI or compose 3. Conclusion 1. Introduction Docker can be overwhelming to start with.
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Seattle Data Guy
FEBRUARY 10, 2024
Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions.
Seattle Data Guy
AUGUST 9, 2023
Learning about how to data models from basic star schemas on the internet is like learning data science using the IRIS data set. Data modeling in real life requires you fully understand the data sources and your business use cases.… It works great as a toy example. But it doesn’t match real life at all.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.
Analytics Vidhya
APRIL 3, 2023
Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.
Confessions of a Data Guy
APRIL 28, 2024
The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity?
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. The quick-to-deploy Senzing® entity resolution API enables graph database users to gain insights from their data they couldn’t see before.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.
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Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
Speaker: Logi Analytics
Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data. Preview our sessions and sign up to join other data leaders looking to transform the world of analytics.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
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