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.

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Software Engineer Software Engineering 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.

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Project IT Data Management 100

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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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.

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Data Process Process Data 109

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

Data

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 102

Accessible Accessibility 102

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 84

Machine Learning Big Data Data Engineering 84

ArcGIS

MARCH 4, 2024

Explore the must-attend technical sessions featuring ArcGIS Pro at the 2024 Esri DevSummit. Everything from ArcGIS Pro SDK development to deep learning with imagery.

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Deep Learning 82

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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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 76

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.

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Banking Building Technology Data 73

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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. 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.

Database

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.

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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 Data Science 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

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 Warehouse Data Engineering 52

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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.

Data Analysis

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 Analysis 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

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

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.

Certification

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.

Engineering 40

Engineering Portfolio Computer Science Machine Learning 40

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.

Amazon Web Services 73

Amazon Web Services Data Integration High Quality Data Government 73

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.

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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

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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

BI