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Developing Production Level Databricks Pipelines.

Confessions of a Data Guy

A question that comes up often … “How do I develop Production Level Databricks Pipelines?” Or maybe someone just has a feeling that using Notebooks all day long is expensive and ends up being an unreliable way to produce Databricks Spark + Delta Lake pipelines that run well … without error. It isn’t really that […] The post Developing Production Level Databricks Pipelines. appeared first on Confessions of a Data Guy.

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mapGroupsWithState and.batch?

Waitingforcode

That's one of my recent surprises. While I have been exploring arbitrary stateful processing, hence the mapGroupsWithState among others, I mistakenly created a batch DataFrame and applied the mapping function on top of it. Turns out, it worked! Well, not really but I let you discover why in this blog post.

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Unapologetically Technical Episode 11 – Hubert Dulay

Jesse Anderson

In this episode of Unapologetically Technical, I interview Hubert Dulay, the author of Streaming Data Mesh and Developer Advocate at StarTree. We talked about his early experience with web backends like CORBA and SOAP and how those prepared him for data work. He shares his advice for those with web development skills to transition into data and what it’s like for a person leaving a company after a long tenure there.

IT 100
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5 Free University Courses to Learn Machine Learning

KDnuggets

Want to learn machine learning from the best of resources? Check out these free machine learning courses from the top universities of the world.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Snowflake Invests in Metaplane for Deep, End-to-End Observability in the Data Cloud

Snowflake

According to Infosys, 35% of AI projects will either fail or experience delays because of poor data quality. There’s a huge gap between the data quality most companies have by default and the data quality needed for successful AI. And that gap is directly affecting the performance and reliability of AI systems everywhere. As organizations expand their use of Snowflake to build and deploy new AI-powered data applications, comprehensive data observability is critical to success.

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Why You Should Replace Pandas with Polars

Confessions of a Data Guy

I’m still amazed to this day how many folks hold onto stuff they love, they just can’t let it go. I get it, sorta, I’m the same way. There are reasons why people do the things they do, even if they are hard for us to understand. It blows my mind when I see something […] The post Why You Should Replace Pandas with Polars appeared first on Confessions of a Data Guy.

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Top 10 Startups in India – Everyone Should Know

Knowledge Hut

As of the beginning of January 2022, India has recognized more than 61,000 startups, thus having the 3rd largest startup ecosystem after the US and China. The government of India has an initiative called Startup India, whose sole purpose is to bring about startup culture and build an ecosystem for entrepreneurship and innovation. As a result, the startup ecosystem in India has emerged as a major growth engine for the country in the past few years and aims to become a global tech powerhouse.

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Six Clouderans Earn CRN Women of the Channel Distinction

Cloudera

Businesses today face unique challenges, whether it’s with hybrid cloud, AI, data analytics, or all of the above. Delivering solutions that can address those challenges effectively requires a robust ecosystem of partnerships. At the center of this critical ecosystem is the partner marketing team at Cloudera, who work tirelessly in pursuit of excellence for customers—and as a result, we’re proud to share that six of our very own Clouderans have been recognized by CRN as part of this year’s Women

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Pursue a Master’s in Data Science with the 3rd Best Online Program 2024

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for October 28th.

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Towards Sustainable Data Engineering Patterns

Towards Data Science

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

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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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Research Survey: Productivity benefits from Databricks Assistant

databricks

In the fast-paced landscape of data science and engineering, integrating Artificial Intelligence (AI) has become integral for enhancing productivity. We’ve seen many tools.

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Six Sigma Green Belt Project Examples & How to Execute?

Knowledge Hut

The Lean Six Sigma Green Belt certification is an important step in becoming a master of the lean six sigma technique and leading improvement projects for a company. LSS Green Belts identify critical areas for improvement and play a key role in executing the necessary changes, based on the ideas and abilities learned throughout LSS Yellow Belt training.

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Join us at the Iceberg Summit 2024

Cloudera

Apache Iceberg is vital to the work we do and the experience that the Cloudera platform delivers to our customers. Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). This generative powerhouse has fueled vertical integration, giving rise to industry-specific solutions that harness the full potential of generative capabilities and unlocked the imagination of many.

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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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Working with EMIT Hyperspectral Imagery in ArcGIS

ArcGIS

ArcGIS's capabilities for visualizing and analyzing EMIT hyperspectral imagery bridge the gap between NASA's science data and GIS users.

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Using Groq Llama 3 70B Locally: Step by Step Guide

KDnuggets

Learn how to generate super fast responses in Jan AI and VSCode using Groq LPU Inference Engine.

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How To Install and Setup React Native on Mac

Knowledge Hut

With the rapid growth of online websites, businesses, and the general ecosystem, it is crucial that website UIs load quickly on smartphones to encourage smartphone-based internet consumption. Facebook developed React Native from a need to generate UI elements efficiently, which formed the basis for creating the open-source web framework. Its native cross-platform capabilities allow usage for a wide range of platforms for application development, including Android, Web, Windows, UWP, tvOS, macOS,

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Best Practices for Technical Columns in Database Design

Towards Data Science

When architecting a transactional database or a data warehouse, it’s important not to forget about various types of technical columns… Continue reading on Towards Data Science »

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

Snowflake

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024 , gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

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We’ll See You at the Gartner Data and Analytics Summit

Cloudera

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together.

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The Best Strategies for Fine-Tuning Large Language Models

KDnuggets

Learn how to master the art of fine-tuning LLMs for specialized tasks.

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Precisely Customers Home Depot, Sobeys, and Novelis Share Their Best Practices at the Automate User Group

Precisely

Precisely kicked off the second in a series of quarterly Automate User Group events in Atlanta back in March. These user groups – also known as Inspiration Days – allow attendees to gain knowledge and share real-world results and insights with their peers. The interactive event brought Precisely Automate customers together for two jam-packed days of knowledge sharing and learning through presentations, demos from Precisely engineers, and Q&A discussions.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Light and dark color schemes

ArcGIS

Watch this short video to learn how to choose color schemes that work well with light or dark basemaps.

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Preserving Data Privacy in Life Sciences: How Snowflake Data Clean Rooms Make It Happen

Snowflake

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

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HBase Deprecation at Pinterest

Pinterest Engineering

Alberto Ordonez Pereira | Senior Staff Software Engineer; Lianghong Xu | Senior Manager, Engineering; This blog marks the first of a three-part series describing our journey at Pinterest transition from managing multiple online storage services supported by HBase to a brand new serving architecture with a new datastore and a unified storage service.

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5 Steps to Learn AI for Free in 2024

KDnuggets

Master AI with these free courses from Harvard, Google, AWS, and more.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Databricks Is a Glassdoor Best-Led Company in 2024

databricks

Databricks is pleased to announce we are ranked #2 in the inaugural annual Glassdoor Award List of Best-Led Companies in 2024 ! At.

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Behind the scenes of Threads for web

Engineering at Meta

When Threads first launched one of the top feature requests was for a web client. In this episode of the Meta Tech Podcast, Pascal Hartig ( @passy ) sits down with Ally C. and Kevin C., two engineers on the Threads Web Team that delivered the basic version of Threads for web in just under three months. Ally and Kevin share how their team moved swiftly by leveraging Meta’s shared infrastructure and the nimble engineering practices of their colleagues who built Threads for iOS and Android.

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Snowflake Advanced Certifications: Level Up to SnowPro Advanced and Show Off Your Snowflake Expertise

Snowflake

Did you know that Snowflake has five advanced role-based certifications to help you stand out in the data community as a Snowflake expert? The Snowflake Advanced Certification Series (Architect, Data Engineer, Data Scientist, Administrator, Data Analyst) offers role-based certifications designed for Snowflake practitioners with one to two years of experience (depending on the program).

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What’s new for ArcGIS Defense Mapping in ArcGIS Pro 3.3

ArcGIS

Check out what's new for ArcGIS Defense Mapping in ArcGIS Pro 3.3. Enhancements were made to the Glossary Table, product files, and tools.

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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.