Data Engineering Podcast
MARCH 3, 2024
Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. In order to make those promises a reality there is a substantial amount of strategy and investment required. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization.
Christophe Blefari
MARCH 2, 2024
Mistral ( credits ) Hello all, this is the Data News, this week edition might be smaller than usual in term of comments as I'm working on a Data News related project that takes me a bit of time, which will probably lead to a series of articles. Before I forget I've appeared on The Joe Reis Show , we chatted with Joe about data engineering teaching, why it is hard and about generative AI that will change education for ever.
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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.
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.
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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?
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.
Christophe Blefari
MARCH 8, 2024
We all need recommendations ( credits ) When I started writing this newsletter nearly three years ago, I never imagined that the words I write on my keyboard would take such an important place in my life. All the interactions I have with you, whether online or offline, are always amazing and give me wings. Today I want to introduce a new feature in the Data News galaxy.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Tweag
MARCH 6, 2024
Three years ago, a blog post introduced destination-passing style (DPS) programming in Haskell, focusing on array processing, for which the API was made safe thanks to Linear Haskell. Today, I’ll present a slightly different API to manipulate arbitrary data types in a DPS fashion, and show why it can be useful for some parts of your programs. The present blog post is mostly based on my recent paper Destination-passing style programming: a Haskell implementation , published at JFLA 2024.
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.
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.
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.
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.
KDnuggets
MARCH 5, 2024
This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.
Robinhood
MARCH 6, 2024
On our busiest days, as much as 25% of the total daily trading volume has come from outside of traditional market hours Last year, Robinhood became the first US retail brokerage to offer 24/5 trading of single name stocks when we launched the Robinhood 24 Hour Market. The news cycle, world events, and market moving events like earnings often happen outside of US East Coast business hours.
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.
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.
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.
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.
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.
Knowledge Hut
MARCH 7, 2024
In the digital era, the demand for cloud computing has increased like never before. It has brought about significant transformations in how businesses store, access, and share information. It allows organizations to carry out various tasks through the internet. Increased security, scalability, reduced costs, and better collaboration are a few benefits of cloud computing.
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
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.
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!
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.
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.
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.
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.
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.
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
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.
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.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
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.
Rock the JVM
MARCH 7, 2024
1. Introduction Kotlin is an amazing programming language. At the time of writing, Kotlin is the second most popular language on the JVM (behind Java of course), the language of choice for writing Android applications — which covers about 70% of the mobile market — and it’s opening new doors to other compilation targets (WASM, native) as well as multiplatform projects, targeting server-side, mobile (both iOS and Android) and the web.
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.
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.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
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