Mon.Jun 05, 2023

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Data Scientist’s Insights: Strategies for Innovation and Leadership

Analytics Vidhya

Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data. With their expertise in statistics, machine learning, AI, and programming, they are able to […] The post Data Scientist’s Insights: Strategies for Innovation and Leadership appeared first

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Native Frame Rate Playback

Netflix Tech

by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Leveraging a good mix of mature and cutting-edge client device technologies to deliver a smooth playback experience with glitch-free in-app transitions is an important step towards achieving this goal.

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10 Jupyter Notebook Tips and Tricks for Data Scientists

KDnuggets

Unlock the full potential of Jupyter Notebook with expert tips and techniques, including time-saving shortcuts, powerful magic functions, and advanced features, to boost your productivity.

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Understanding global water quality trends

ArcGIS

Eutrophication is driven by enrichment of waters by nutrients resulting in adverse changes in the balance of organisms and water quality.

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Navigating the Future: Generative AI, Application Analytics, and Data

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? What can product managers and developers expect in the future with the widespread adoption of AI?

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A Playbook to Scale MLOps

KDnuggets

MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.

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Aaand the New NiFi Champion is…

Cloudera

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. This blog is to congratulate our winner and review the top submissions. On the verge of the release of NiFi 2.0, Cloudera VP of Engineering and NiFi founder Joe Witt, joined by principal committers Mark Payne and Matt Gillman, addressed the global community via a virtual event dubbed “ Meet the Committers.

More Trending

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Hybrid Cloud Solutions with Databricks and Dell ECS storage

databricks

We are pleased to share the strategic partnership announcement between Dell and Databricks from the Dell Technologies World 2023 opening keynote last week.

Cloud 73
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Revolutionizing Data Analysis with PandasGUI

KDnuggets

PandasGUI unleashes unprecedented simple and efficient data analysis.

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HTTP Authentication with Scala and Http4s

Rock the JVM

by Herbert Kateu Hey, it’s Daniel here. You’re reading a big article about the Http4s library. Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course.

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Get trained & certified at Data+AI Summit and earn exclusive swag

databricks

Nearly 90% of those with Databricks Certifications indicated that their certifications increased their career opportunities. This year, Databricks Training and Certification is returning.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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6 Easy Step To Monitor Debezium MySQL Connector Metrics using Grafana

Hevo

Debezium is the most popular data monitoring tool that traces or captures every row-level modification made on the external database servers. It continuously captures and streams real-time changes from database systems into Kafka servers.

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HTTP Authentication with Scala and Http4s

Rock the JVM

by Herbert Kateu Hey, it’s Daniel here. You’re reading a big article about the Http4s library. Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course.

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How to Cleanse and Enrich Data for Better Analytics and Decision-Making

Precisely

Manual data cleanup can be time-consuming and error-prone – and yet clean, ready-to-use data is essential to the success of strategic initiatives across industries and use cases. As more organizations prioritize data-driven decision-making, the pressure mounts for data teams to provide the highest quality data possible for the business. Reach new levels of data quality and deeper analysis – faster So then, what are the options for data practitioners?

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FLASH PROMO: Register now and save 50% off training at Data + AI Summit

databricks

For a limited time, we’re offering 50% off for training and certification at Data + AI Summit with the following code: FLS4vop5ep. This o.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Einstein tiles: relatively speaking

ArcGIS

Resources to generate einstein aperiodic tiles for binning.

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Four Data Trends Redefining Success for the Modern Business

Snowflake

When it comes to data, state of the art is an ever-moving target. There’s also a lot of hype around “cutting edge” that isn’t always grounded in reality. At Snowflake, we’re able to see how cutting-edge companies are actually working with data on our platform. In our inaugural Data Trends report we examine actual usage data from those companies—rather than simply what leaders feel about their data operations—and surfaced four trends redefining the way modern compani