Data Engineering Podcast

OCTOBER 15, 2023

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

Process Building SQL BI 182

Christophe Blefari

OCTOBER 20, 2023

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.

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Marc Lamberti

OCTOBER 20, 2023

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

SQL Python Coding Metadata 130

Waitingforcode

OCTOBER 17, 2023

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

Data 130

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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

OCTOBER 18, 2023

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 141

Building Process 141

LinkedIn Engineering

OCTOBER 19, 2023

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

Process Lambda Architecture Kafka Machine Learning 119

Engineering at Meta

OCTOBER 18, 2023

With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years.

Designing 115

Designing Deep Learning Media Architecture 115

KDnuggets

OCTOBER 16, 2023

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

Data Science 152

Data Science Deep Learning Machine Learning Python 152

InData Labs

OCTOBER 17, 2023

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.

Data Architecture 105

Data Architecture Architecture Raw Data Big Data 105

databricks

OCTOBER 19, 2023

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.

Machine Learning 110

Machine Learning Systems IT 110

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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

ArcGIS

OCTOBER 17, 2023

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

Transportation 123

Transportation Designing 123

KDnuggets

OCTOBER 17, 2023

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 135

Process 135

Ripple Engineering

OCTOBER 19, 2023

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

Utilities 98

Utilities Algorithm Coding Engineering 98

Tweag

OCTOBER 18, 2023

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 97

Coding Programming Designing Accessible 97

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

ArcGIS

OCTOBER 16, 2023

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

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121

KDnuggets

OCTOBER 18, 2023

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 133

Database Cloud IT Data Engineering 133

Scott Logic

OCTOBER 18, 2023

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

Cloud AWS BI Accessible 87

databricks

OCTOBER 17, 2023

Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.

Datasets 96

Datasets Healthcare Data 96

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

DoorDash Engineering

OCTOBER 17, 2023

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.

Education 87

Education Kafka Algorithm Data Warehouse 87

KDnuggets

OCTOBER 19, 2023

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 126

Data IT 126

Cloudera

OCTOBER 20, 2023

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 81

Process Management IT 81

databricks

OCTOBER 20, 2023

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

Insurance 89

Insurance Healthcare 89

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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

Snowflake

OCTOBER 18, 2023

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.

Designing 87

Designing Accessible Accessibility Systems 87

KDnuggets

OCTOBER 16, 2023

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 125

Data 125

Cloudera

OCTOBER 18, 2023

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.

Portfolio 75

Portfolio Banking Algorithm Machine Learning 75

databricks

OCTOBER 20, 2023

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 84

Data 84

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

Confluent

OCTOBER 17, 2023

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 73

Retail Cloud Process Data 73

KDnuggets

OCTOBER 19, 2023

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.

Machine Learning 123

Machine Learning IT 123

Cloudera

OCTOBER 16, 2023

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 75

Cloud Kafka SQL Data 75

databricks

OCTOBER 19, 2023

Today, we are excited to announce the public preview of AI generated documentation in Databricks Unity Catalog. This feature leverages generative AI to.

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88

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering