Sat.Nov 09, 2024 - Fri.Nov 15, 2024

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How To Future-Proof Your Data Pipelines

Ascend.io

Why Future-Proofing Your Data Pipelines Matters Data has become the backbone of decision-making in businesses across the globe. The ability to harness and analyze data effectively can make or break a company’s competitive edge. But when data processes fail to match the increased demand for insights, organizations face bottlenecks and missed opportunities.

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Netflix’s Distributed Counter Abstraction

Netflix Tech

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights. Before building your own data architecture from scratch though, why not steal – er, learn from – what industry leaders have already figured out?

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Accelerate AI Development with Snowflake

Snowflake

At Snowflake BUILD , we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These new tools streamline workflows, deliver insights at scale, and get AI apps into production quickly. Customers such as Skai have used these capabilities to bring their generative AI solution into production in just two days instead of months.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Cloudera

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.

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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

Much of the data we have used for analysis in traditional enterprises has been structured data. It’s easy for humans to break down, understand, and, in turn, find insights from it. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

It’s easy these days for an organization’s data infrastructure to begin looking like a maze, with an accumulation of point solutions here and there. While some businesses find ways to stitch together many tools with complex pipelines, wouldn’t it be better if you could remove some of the steps? What if you could streamline your efforts while still building an architecture that best fits your business and technology needs?

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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights.

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4 Practical Tips for Implementing Data-Driven Personalization

Precisely

Key Takeaways: Data used for personalization must be of high quality—accurate, up-to-date, and free of redundancies. 4 Practical Tips for Implementing Data-Driven Personalization in your organization. Many organizations struggle with siloed communication channels, which create fragmented customer experiences. How do you convert the everyday customers into loyal brand enthusiasts?

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AnythingLLM: The LLM Application You’ve Been Waiting For

KDnuggets

Turn any document into a conversation-ready AI tool with AnythingLLM — a versatile, open-source platform for building a secure, private assistant.

Building 142
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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The Impact of GenAI on Modernizing Food & Beverage Operations

RandomTrees

The food and beverages (F&B) industry has been transformed digitally, resulting from new technology, including GenAI. In short, GenAI is a type of artificial intelligence that is capable of creating content and offering predictions that have transformed the operations of a business in this industry. In this blog, we will look at some of the approaches GenAI has advanced in food and beverage, supported by relevant research statistics as well as real-life experiences and case studies in detail

Food 52
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Top 10 Marketplace Questions, Answered

databricks

Databricks Marketplace is an open marketplace for data, analytics, and AI, powered by the open-source Delta Sharing standard. Since the release of Databricks.

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IMPACT 2024 Keynote Recap: Product Vision, Announcements, And More

Monte Carlo

After a couple of years recapping the excitement of the Snowflake and Databricks conference keynotes, it was beyond time to give the same treatment to the fourth annual IMPACT conference. So let’s take a closer look at the keynote delivered by Monte Carlo co-founder and chief technology officer, Lior Gavish, as he took the virtual stage to share the “vision and mission driving Monte Carlo into 2025.

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Using Pandas and SQL Together for Data Analysis

KDnuggets

In this tutorial, we’ll explore when and how SQL functionality can be integrated within the Pandas framework, as well as its limitations.

SQL 140
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Boosting Media & Entertainment Production Efficiency with AI and Cloud

RandomTrees

The media and entertainment sector is being transformed on a new scale owing to technological progression. With artificial intelligence (AI) and the cloud, content production, distribution, and consumption have changed for the better. It’s worth noting that advanced technologies today not only facilitate the production process structure but also improve effectiveness, reduce costs, and create innovativeness.

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15+ Companies Using DuckDB in Production: A Comprehensive Guide

Simon Späti

From Fortune 500 companies processing trillions of security records to innovative startups building interactive data tools, DuckDB is revolutionizing how organizations handle analytical workloads. Building on our exploration of DuckDB’s core capabilities in Part 1 , this guide showcases production implementations and promising experimental applications across five key categories.

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Triggered Tasks in Snowflake

Cloudyard

Read Time: 2 Minute, 32 Second Triggered tasks in Snowflake offer a key advantage: they only execute when new data arrives, eliminating the need to run a warehouse or cloud service constantly and reducing associated costs. By leveraging Snowflake’s stream processing and trigger-based task scheduling , we ensure data is loaded and validated as soon as it arrives, allowing for near real-time processing.

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How to Learn AI the Lazy Way

KDnuggets

Embrace your inner lazy learner and focus on being efficient with your time and energy.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications

databricks

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

Systems 122
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Unlocking Operational Efficiency: A Major Home Improvement Retailer’s Path to Data Modernization with Striim

Striim

Organizations across various industries require real-time access to data to drive decisions, enhance customer experiences, and streamline operations. A leading home improvement retailer recognized the need to modernize its data infrastructure in order to move data from legacy systems to the cloud and improve operational efficiency. To achieve these goals, the retailer partnered with Striim to support its data modernization and real-time integration efforts.

Retail 52
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How Meta built large-scale cryptographic monitoring

Engineering at Meta

Cryptographic monitoring at scale has been instrumental in helping our engineers understand how cryptography is used at Meta. Monitoring has given us a distinct advantage in our efforts to proactively detect and remove weak cryptographic algorithms and has assisted with our general change safety and reliability efforts. We’re sharing insights into our own cryptographic monitoring system, including challenges faced in its implementation, with the hope of assisting others in the industry aiming to

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Developing Robust ETL Pipelines for Data Science Projects

KDnuggets

In this article, we’ll look at how to build ETL pipelines for data science projects.

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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5 Ways to Get Kickstarted with Databricks at AWS re:Invent

databricks

Databricks is turning up the heat at AWS re:Invent 2024 , and we’re bringing more than just data and AI solutions to the.

AWS 105
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Creating Dynamic Pivots on Snowflake Tables with dbt

Towards Data Science

Leverage dbt and its advanced scripting functionality to generate dynamic pivot tables that adapt to changing pivot values Continue reading on Towards Data Science »

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Presto® Express: Speeding up Query Processing with Minimal Resources

Uber Engineering

Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.

Process 60
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7 Ways to Improve Your Data Cleaning Skills with Python

KDnuggets

Improve your Python data cleaning by fixing invalid entries, converting types, encoding variables, handling outliers, selecting features, scaling, and filling missing values.

Python 132
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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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Building a Modern Clinical Trial Data Intelligence Platform

databricks

In an era where data is the lifeblood of medical advancement, the clinical trial industry finds itself at a critical crossroads. The current.

Medical 103
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Empower Your Cyber Defenders with Real-Time Analytics

Cloudera

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

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Unified Checkout: Streamlining Uber’s Payment Ecosystem

Uber Engineering

From payment chaos to calm: Discover how Uber’s game-changing Unified Checkout System powers payment methods across every product line, worldwide.

Systems 58
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A New Python Package Manager

KDnuggets

Manage Python projects, run scripts and tools, handle dependencies, and install packages—all with the uv tool.

Python 130
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.