Mon.Mar 04, 2024

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The Best Piece of Software Engineering Advice

Confessions of a Data Guy

You probably think this is another internet clickbait title uh? Just trying to get you to clickty clickty and sell you some Google Ads. Two problems. I don’t have Google Ads, and I know a small percentage of people will actually listen to this advice. Whatever. There is a reason some developers struggle to move […] The post The Best Piece of Software Engineering Advice appeared first on Confessions of a Data Guy.

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Why Most Data Projects Fail & How to Avoid It at GOTO 2023

Jesse Anderson

I had the pleasure of being one of the speakers at GOTO Amsterdam 2023 where I talked about Why Most Data Projects Fail & How to Avoid It and I can’t wait to share this talk with you! Abstract: Unfortunately, the majority of data projects fail. Yet, they fail for the same reasons. Most management and data teams don’t know the reasons a project succeeds or fails.

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StreamNative and Databricks Unite to Power Real-Time Data Processing with Pulsar-Spark Connector

databricks

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

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2024 Reading List: 5 Essential Reads on Artificial Intelligence

KDnuggets

Transform your understanding of current and future tech with these top 5 AI reads to explore the minds shaping our future.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Netflix Tech

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data Platform by Binbing Hou , Stephanie Vezich Tamayo , Xiao Chen , Liang Tian , Troy Ristow , Haoyuan Wang , Snehal Chennuru , Pawan Dixit This is the first of the series of our work at Netflix on leveraging data insights and Machine Learning (ML) to improve the operational automation around the performance and cost efficiency of big data jobs.

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Unlock the Secrets of LLMs in a 60-Minute with Andrej Karpathy

KDnuggets

Karpathy's talk provides a comprehensive yet accessible introduction to large language models, explaining their capabilities, future potential, and associated security risks in an engaging manner.

More Trending

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Data Science and the Go Programming Language

KDnuggets

Northwestern’s School of Professional Studies uses Go in Its Master of Science in Data Science Program.

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Snowflake Startup Spotlight: ZeroError

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about companies building their businesses on Snowflake. In this edition, we’ll hear how Maria Marti, founder and CEO of ZeroError , used her experiences as an engineer and an executive to build a team and create the AI analytics assistant she always wanted — but never had. What inspires you as a founder?

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5 Courses to Master LLMs

KDnuggets

The future world is full of LLM, and you don’t want to miss this most sought skill.

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Your Guide to Unlocking Trusted AI with Reliable Data

Precisely

What if every decision, recommendation, and prediction made by artificial intelligence (AI) was as reliable as your most trusted team members? This isn’t a distant dream – it’s a tangible reality with trusted AI. From enhancing decision-making and productivity to delivering personalized customer experiences and sparking innovation, trusted AI is your key to gaining a competitive edge in today’s fast-paced market.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Coastal Community Bank Builds a Thriving Financial Ecosystem on Databricks Data Intelligence Platform

databricks

Special thanks to Barb MacLean, SVP, Head of Technology Operations and Implementation at Coastal Community Bank (Coastal) and Rob Cavallo, President at Cavallo.

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Metadata Management & Data Governance with Cloudera SDX

Cloudera

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control.

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What is Data Observability vs. DataOps?

Monte Carlo

Actually, that’s a trick question. Why? Well, we can liken the Data Observability vs. DataOps relationship to Beyonce (there’s a sentence I never expected to write!). Just as every Beyonce song is a hit, but not every hit song is by Beyonce, data observability is one key component of DataOps, but DataOps is more than just data observability. So, the more apt question(s) may actually be: How does data observability fit into DataOps?

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Exploring Books with Snowpark and Streamlit

Cloudyard

Read Time: 1 Minute, 32 Second In this blog post, we will explore how to leverage Snowpark and Streamlit to build an interactive book exploration application. Snowpark is a feature in Snowflake that allows developers to write code in their preferred programming language, and Streamlit is a Python library for creating web applications with minimal effort.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Table Types Are Evolving And So Is Monte Carlo

Monte Carlo

Tables seem like a simple concept. You have columns and you have rows, what could be easier? As any data engineer currently rolling their eyes would tell you, the reality has long been more nuanced. Is a materialized view a view or a table? Should you distinguish between tables and external tables? And what about wildcard tables? These questions just scratch the surface of the painful delightfully complex world of data engineering.

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How to Introduce Yourself in an Interview: Do’s and Don’ts

Edureka

“A job interview is not a test of your knowledge but your ability to use it at the right time.” Interviews can be stressful, especially if you’re worried about saying the right things or making a good impression. Overcoming interview-related anxieties can lead to increased confidence, improved communication skills, and help gain valuable insights about oneself.

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Data streaming platforms: Unlocking AI potential for enterprise organizations

Confluent

Explore how data streaming platforms revolutionize GenAI adoptions, streamlining operations, and enhancing customer experiences with real-time insights.

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Prompt Engineering for Code Generation

Edureka

Prompt engineering is the secret key in the world of technology, allowing the transformation of words into code by providing clear commands to AI. This skill is essential because it unlocks AI’s full potential, allowing for the seamless translation of ideas into tangible code. We’ll look at the fundamental principles of prompt engineering for code generation and synthesis, highlighting their key points.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Smarter Manufacturing: The Role of Governance in Streamlining Gen AI

databricks

Artificial Intelligence (AI) is going to be embedded in every product and service a business produces and customers interact with. With Generative AI.

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Mastering Excel Formulas: Essential Functions for Every Spreadsheet User

Edureka

All of us have used an Excel sheet at least once because it has been around for a while. However, Excel is a very good program that is very compatible and flexible. Many organizations use it extensively for data processing, analysis, and recording. The Excel Formula/ Functions feature is one of the most fundamental and frequently utilized ones in Excel, Additionally, these Excel formulas should be known by all Excel users.

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Preventing Fraud at Robinhood using Graph Intelligence

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … Authored by: Katie Liu, Senior Data Scientist, and Claire Liu, Staff Software Engineer In today’s digital finance landscape, the challeng

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How to Become a Prompt Engineer: Skills, Responsibilities, and Resources

Edureka

In the landscape of rapid technological progress, Chat GPT stands out as a notable innovation. However, the unsung contributors behind its success are prompt engineers. These professionals play a crucial role in refining prompts and bridging the gap between human intent and machine output. Their expertise empowers users to shape AI behavior effectively, underscoring their vital contribution to optimizing AI performance and usability.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.