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 Engineer 147

Software Engineer Software Engineering Engineering Data 147

Waitingforcode

MARCH 5, 2024

I'm writing this unexpected blog post because I got stuck with watermarks and checkpoints and felt that I was missing some basics. Even though this introduction is a bit negative, the exploration for the data reading enabled my other discoveries.

Data 130

Data 130

Engineering at Meta

MARCH 6, 2024

To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major changes to WhatsApp and Messenger to enable interoperability with third-party messaging services. We’re sharing how we enabled third-party interoperability (interop) while maintaining end-to-end encryption (E2EE) and other privacy guarantees in our services as far as possible.

Media 132

Media Architecture Metadata Data Storage 132

Snowflake

MARCH 5, 2024

As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this.

Cloud 124

Cloud Medical Manufacturing Retail 124

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

Data Collection

Confessions of a Data Guy

MARCH 8, 2024

Recently an Architecture at Databricks recommended people use Notebooks for Production workloads. Very bad and horrible idea. Very expensive compute for most people (All Purpose Clusters) and it leads to horrible development practices. It set off a firestorm on Linkedin when I commented people SHOULD NOT follow this advice. Read here and here The post Never Put Databricks Notebooks in Production appeared first on Confessions of a Data Guy.

Architecture 130

Architecture IT Data Data Engineering 130

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 105

Data Process Process Data 105

Confessions of a Data Guy

MARCH 8, 2024

I recently did a challenge. The results were clear. DuckDB CANNOT handle larger-than-memory datasets. OOM Errors. See link below for more details. … DuckDB vs Polars – Thunderdome. 16GB on 4GB machine Challenge. The post DuckDB has MAJOR Problems! OOM Errors. appeared first on Confessions of a Data Guy.

Datasets 130

Datasets Data 130

Cloudera

MARCH 6, 2024

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. We’re at a crucial point in time where the excitement and potential surrounding AI has elevated the importance of improving access to the mission-critical data that helps organizations implement it at scale.

Data Analytics 104

Data Analytics Data Technology Data Engineering 104

KDnuggets

MARCH 5, 2024

Looking to learn SQL and databases to level up your data science skills? Learn SQL, database internals, and much more with these free university courses.

SQL 128

SQL Database Data Science Data 128

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

Certification

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Now, that’s changing.

BI 94

BI Datasets Raw Data SQL 94

Snowflake

MARCH 5, 2024

Because human-machine interaction using natural language is now possible with large language models (LLMs), more data teams and developers can bring AI to their daily workflows. To do this efficiently and securely, teams must decide how they want to combine the knowledge of pre-trained LLMs with their organization’s private enterprise data in order to deal with the hallucinations (that is, incorrect responses) that LLMs can generate due to the fact that they’ve only been trained on data availabl

Government 93

Government AWS Data Preparation Data Governance 93

KDnuggets

MARCH 7, 2024

Ready to start a career in data science? Put your commitment hat on because I found 4 courses you need to become a master in a year!

Data Science 129

Data Science Data 129

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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

Knowledge Hut

MARCH 7, 2024

Business Analysts play a pivotal role in digital transformation projects carried out by organizations. BAs are thus expected to have knowledge about key concepts of business analysis and be skilled in using different tools and techniques for eliciting, analyzing, and managing requirements. In order to facilitate the five core responsibilities of a business analyst and communicate requirements, and in evaluating solutions, the BA is expected to have a set of competencies.

Business Analyst 98

Business Analyst Consulting Data Analysis Finance 98

Netflix Tech

MARCH 5, 2024

The surprising and not so surprising benefits of generations in the Z Garbage Collector. By Danny Thomas, JVM Ecosystem Team The latest long term support release of the JDK delivers generational support for the Z Garbage Collector. More than half of our critical streaming video services are now running on JDK 21 with Generational ZGC, so it’s a good time to talk about our experience and the benefits we’ve seen.

Java 91

Java Bytes Utilities Metadata 91

Cloudera

MARCH 5, 2024

Artificial Intelligence (AI) is primed to reshape the way just about every business operates. Cloudera research projected that more than one third (36%) of organizations in the U.S. are in the early stages of exploring the potential for AI implementation. But even with its rise, AI is still a struggle for some enterprises. AI, and any analytics for that matter, are only as good as the data upon which they are based.

Data Lake 86

Data Lake Data Storage Government Kafka 86

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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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

Knowledge Hut

MARCH 6, 2024

Training and development are critical for any professional. It helps you improve your performance and helps your organization meet its business goals. Building new skills makes an individual more efficient at a job or capable of handling different responsibilities and challenges. Developing skills is possible at the place of work or away from employment.

Programming 98

Programming Certification Education Designing 98

Netflix Tech

MARCH 7, 2024

David J. Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding. The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data sc

Systems 90

Systems Media Machine Learning Data Warehouse 90

databricks

MARCH 6, 2024

KX and Databricks have partnered to develop time series analytics solutions for the capital markets sector to support many use cases including quant.

Data Analytics 92

Data Analytics Data 92

KDnuggets

MARCH 5, 2024

An in-depth overview of extractive text summarization, how state-of-the-art NLP models like BERT can enhance it, and a coding tutorial for using BERT to generate extractive summaries.

Coding 100

Coding IT Process 100

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.

Data Science

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.

Deep Learning 83

Deep Learning 83

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

Towards Data Science

MARCH 7, 2024

With over two decades in Data Engineering, I’ve uncovered a secret to clear and consistent database columns: classwords.

Database 89

Database Data Science Data Engineering Data Engineer 89

KDnuggets

MARCH 8, 2024

Anthropic has released a new series of large language models and an updated Python API to access them.

Python 129

Python Accessible Accessibility 129

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.

Management

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?

BI 74

BI Business Intelligence Building Programming 74

Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness. They can ingest information as soon as it becomes available, summarize lengthy narrative content, and offer guidance to employees who manage the claims process.

Insurance 72

Insurance Process Medical Data Governance 72

ArcGIS

MARCH 7, 2024

How I used ArcGIS Pro to help me design a woodcut print.

Designing 120

Designing 120

KDnuggets

MARCH 8, 2024

This article explains the concept of regularization and its significance in machine learning and deep learning. We have discussed how regularization can be used to enhance the performance of linear models, as well as how it can be applied to improve the performance of deep learning models.

IT 93

IT Deep Learning Machine Learning 93

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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