Confessions of a Data Guy

MARCH 4, 2024

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.

Software Engineering 147

Software Engineering Software Engineer Engineering Data 147

Jesse Anderson

MARCH 4, 2024

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.

Project 100

Project IT Data Management 100

databricks

MARCH 4, 2024

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.

Data Process 117

Data Process Process Data 117

KDnuggets

MARCH 4, 2024

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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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?

Business Intelligence

Netflix Tech

MARCH 4, 2024

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.

Machine Learning 85

Machine Learning Big Data Data Engineering 85

KDnuggets

MARCH 4, 2024

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.

Accessible 103

Accessible Accessibility 103

KDnuggets

MARCH 4, 2024

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

Programming Language 125

Programming Language Data Science Programming Data 125

Snowflake

MARCH 4, 2024

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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BI Business Intelligence Building Programming 77

KDnuggets

MARCH 4, 2024

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

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Precisely

MARCH 4, 2024

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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Amazon Web Services Data Integration High Quality Data Government 72

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.

Data

databricks

MARCH 4, 2024

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

Banking 79

Banking Building Technology Data 79

Cloudera

MARCH 4, 2024

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.

Metadata 52

Metadata Data Governance Government Management 52

Monte Carlo

MARCH 4, 2024

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?

Data Pipeline 52

Data Pipeline Data Science Data Software Engineer 52

Cloudyard

MARCH 4, 2024

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.

Programming Language 52

Programming Language Python Programming Coding 52

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

Monte Carlo

MARCH 4, 2024

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.

Metadata 52

Metadata Data Lake Data Engineering Data Engineer 52

Edureka

MARCH 4, 2024

“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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Computer Science Education Project Data Management 52

Confluent

MARCH 4, 2024

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

Data 52

Data 52

Edureka

MARCH 4, 2024

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.

Coding 52

Coding Engineering MySQL Programming Language 52

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

databricks

MARCH 4, 2024

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

Manufacturing 52

Manufacturing Government 52

Edureka

MARCH 4, 2024

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.

Utilities 52

Utilities Data Analysis Programming Designing 52

Robinhood

MARCH 4, 2024

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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Database-centric Finance Algorithm Banking 75

Edureka

MARCH 4, 2024

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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Engineering Portfolio Computer Science Machine Learning 40

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project