Sat.Oct 14, 2023 - Fri.Oct 20, 2023

article thumbnail

Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams.

Process 182
article thumbnail

Data News — Week 23.42

Christophe Blefari

Writing about dbt like a sheep ( credits ) Hey, this week Coalesce—the dbt Labs annual conference—took place. During 3 days, people shared how they used dbt around the world. I'll, as usual, write a takeaway post after binge watching all keynotes, but this is for next week. Still dbt Labs announcements were mainly towards dbt Cloud with great features to drive adoption of the paid product.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to use Airflow templates and macros

Marc Lamberti

Templates and Macros in Apache Airflow allow passing data to your DAGs at runtime. Imagine that you want to execute an SQL request with the execution date of your DAG. How can you do that? How can you use the DAG ID when you send notifications to know which DAG to look at? Or what if you need to know when the next DAG run will be? Well, macros and templates answer these questions.

SQL 130
article thumbnail

Watermark and input data filtering in Apache Spark Structured Streaming

Waitingforcode

I've already written about watermarks in a few places in the blog but despite that, I still find things to refresh. One of them is the watermark used to filter out the late data, which will be the topic of this blog post.

Data 130
article thumbnail

Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

article thumbnail

7 Steps to Mastering Large Language Models (LLMs)

KDnuggets

Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

Building 146
article thumbnail

Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling.

Process 119

More Trending

article thumbnail

Prepare your data for the National Spatial Reference System modernization of 2022 in the U.S.

ArcGIS

The new U.S. datums of 2022 will soon be released. This article covers what is coming and how you should prepare your data.

Systems 141
article thumbnail

ChatGPT vs. BARD

KDnuggets

Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

Process 142
article thumbnail

The benefits of modern data architecture

InData Labs

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. The way that businesses organize data assets is commonly known as data architecture, with the benefits of modern data architecture enabling teams to respond to changing demands with improved agility when compared. Запись The benefits of modern data architecture впервые появилась InData Labs.

article thumbnail

JSON Schemas to Nickel contracts

Tweag

At Tweag we have been cooking up a JSON Schema to Nickel contract converter , that we’re excited to announce! Background Nickel is a configuration language being developed at Tweag. You can get some deep dives into its design from previous blog posts. I’ll summarize it here as JSON, plus functions, plus types and contracts. One of its main use-cases is generating JSON configurations for other programs (Terraform, GitHub actions, etc).

Coding 101
article thumbnail

Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

article thumbnail

Sounds Like a Better Plan: USA Transportation Noise, Revised and Updated

ArcGIS

The Living Atlas of the World just updated the tiled, hosted image service featuring transportation noise, from the USDOT.

article thumbnail

5 Free Books to Master Data Science

KDnuggets

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

article thumbnail

Analysis of the XLS-30 AMM Amendment

Ripple Engineering

RippleX has enabled its validator to vote in support of the XLS-30 amendment, introducing innovative AMM capabilities to the XRPL. We, at RippleX, place great emphasis on the strength that collaborative effort and shared responsibility bring to the enhancement and security of the XRPL. Today, we earnestly request the community's consideration of the XLS-30 amendment —a proposal poised to offer numerous advantages by bolstering liquidity, offering yield opportunities for liquidity pro

article thumbnail

Addressing the Challenges of Sample Ratio Mismatch in A/B Testing

DoorDash Engineering

Experimentation isn’t just a cornerstone for innovation and sound decision-making; it’s often referred to as the gold standard for problem-solving, thanks in part to its roots in the scientific method. The term itself conjures a sense of rigor, validity, and trust. Yet as powerful as experimentation is, its integrity can be compromised by overlooked details and unforeseen challenges.

article thumbnail

Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

article thumbnail

Automating Reality Mapping: Accelerate Your Drone Workflows with ArcGIS Reality for ArcGIS Pro

ArcGIS

Streamline GIS workflows with ArcGIS Reality for ArcGIS Pro. Automate reality mapping, generate accurate geospatial products.

122
122
article thumbnail

7 Best Cloud Database Platforms

KDnuggets

Cloud databases have made it easier and cheaper to develop enterprise-level applications, offering flexibility, convenience, and standard database functionality. See what KDnuggets recommends.

Database 136
article thumbnail

Product-Led Growth: 6 Secrets for Success

Snowflake

Product-led growth (PLG) is a business model that emerged in the last decade with the enormous success of vendors like Slack and Datadog. Unlike traditional sales-led models, PLG models cut out the middlemen (sales reps, for example) and let customers just download and use the product without third-party onboarding. The relative novelty of the pricing model and its demonstrably successful application in growing these companies attracted a lot of attention.

article thumbnail

Tools for measuring Cloud Carbon Emissions by Darren Smith

Scott Logic

Introduction In my previous blog post I discussed how migrating to the Cloud could help your organisation reach its Net Zero goals. I discussed how shifting your workloads away from on-premises data centres can reduce emissions by allowing you to leverage the expertise of cloud providers and their greater efficiency of scale. It should be noted this isn’t always clear cut - do consider how energy efficient your current hosting is and the embodied carbon of any hardware you’d be decommissioning.

Cloud 87
article thumbnail

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

article thumbnail

Simplifying Production MLOps with Lakehouse AI

databricks

Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.

article thumbnail

How To Fine-Tune ChatGPT 3.5 Turbo

KDnuggets

This article has outlined how you can fine tune your GPT 3.5 Turbo models. You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning.

Data 134
article thumbnail

Connecting with Clouderans

Cloudera

There are some who believe that growing in your professional career and a desire to travel the world don’t mix well. I am not one of those people – in fact, I’m proof that these two ambitions can blend together to create a beautiful life. I’m Kinga Kamaras. My title at Cloudera is a Strategic Customer Success Manager. It’s a role I enjoy and growing in my career is a big ambition of mine.

Process 84
article thumbnail

How Snowflake Helps Confront Data Challenges and Ensure Program Integrity in Healthcare and Human Services

Snowflake

U.S. Health and Human Services agencies can solve data issues to break down data silos, improve disease surveillance and lower costs From February 2020 to the end of March 2023, Congress’s Families First Coronavirus Response Act (FFCRA) required the provision of continuous enrollment for people with Medicaid throughout the COVID-19 public health emergency (PHE), causing enrollment in Medicaid to grow by 23.2 million to nearly 95 million.

article thumbnail

Leading the Development of Profitable and Sustainable Products

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.

article thumbnail

How the Lakehouse can optimize provider networks and improve member care

databricks

Check out our Nearest Neighborhood Search Solution Accelerator to get started quickly. The Member Experience An insured member typically experiences their healthcare in.

article thumbnail

Semantic Layer: The Backbone of AI-powered Data Experiences

KDnuggets

Looking to understand the semantic layer and how it can improve the AI-powered data experience? Read more to learn why a semantic layer can be the backbone of LLMs and reduce hallucinations.

Data 129
article thumbnail

Getting Started With Cloudera Open Data Lakehouse on Private Cloud

Cloudera

Cloudera recently released a fully featured Open Data Lakehouse , powered by Apache Iceberg in the private cloud, in addition to what’s already been available for the Open Data Lakehouse in the public cloud since last year. This release signified Cloudera’s vision of Iceberg everywhere. Customers can deploy Open Data Lakehouse wherever the data resides — any public cloud, private cloud, or hybrid cloud, and port workloads seamlessly across deployments.

Cloud 79
article thumbnail

Real-Time Inventory in Retail with Confluent Cloud

Confluent

Use data streaming and stream processing (Flink, ksqlDB) to integrate data from store returns, purchases, exchanges, shipments, interstore transfers, etc., to produce a consistent, real-time view of inventory.

Retail 69
article thumbnail

Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

article thumbnail

Fastest way to get SAP HANA data into Databricks using SAP FedML

databricks

SAP's recent announcement of a strategic partnership with Databricks has generated significant excitement among SAP customers. Databricks, the data and AI experts, presents.

Data 74
article thumbnail

Gradient Descent: The Mountain Trekker’s Guide to Optimization with Mathematics

KDnuggets

Gradient descent is an optimization technique used to minimise errors in machine learning models. By iteratively adjusting parameters in the steepest direction of decrease, it seeks the lowest error value.

article thumbnail

Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction.

article thumbnail

The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. As opposed to receiving one-size-fits-all status updates, these key stakeholders desire real-time, granular insights into the status of their specific data as it traverses the complicated data production pipeline.

article thumbnail

Get Better Network Graphs & Save Analysts Time

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.