Sat.Jul 08, 2023 - Fri.Jul 14, 2023

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4 Ways Automation Helps Data Engineering Teams

Monte Carlo

This is a guest post from our friends over at Satori Cyber. Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automation is a missing link in many organizations’ efforts toward data operationalization.

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The Pulse: VanMoof files for bankruptcy protection

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Pulse issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Software architect archetypes. To get the full issues, twice a week, subscribe here. Before we start, a small change.

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Berlin Buzzwords 2023 - notes for data engineers

Waitingforcode

That's the conference I've heard only recently about. What a huge mistake! Despite the lack of "data" word in the name, it covers many interesting data topics and before I share with you my notes from this year's Data+AI Summit, let me do the same for Berlin Buzzwords!

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Reduce Friction In Your Business Analytics Through Entity Centric Data Modeling

Data Engineering Podcast

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained. In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design.

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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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What Is Change Data Capture

Seattle Data Guy

Some data teams need to have their data near real-time for dashboards and reporting. So how can they implement a near real-time data pipeline? One possible choice is a method called change data capture, also known as CDC. I have seen companies employ multiple ways to use CDC or CDC-like approaches to pull data from… Read more The post What Is Change Data Capture appeared first on Seattle Data Guy.

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Data News — Week 23.27

Christophe Blefari

Who's leading the data peloton? ( credits ) Hey you, this is the Saturday Data News edition 🥲 Time flies. I'm working for the Series of articles in advance for August about "creating data platforms" and I'm looking for ideas about the data I could use for this. Having some kind of simulated real-time data would be the best.

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More Trending

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How to design a dbt model from scratch

Towards Data Science

A simple framework for building dbt models that actually get used. When I was researching the Ultimate Guide to dbt , I was shocked by the lack of material around actually building models from scratch. Not the exact steps to take in the tool — that is all covered in innumerable blogs and tutorials. I mean how do you know the right design? How do you make sure your stakeholders will use that model?

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Snowflake’s Performance Optimizations Help ESO Reduce Costs by 60%

Snowflake

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. With a mission to improve community health and public safety through the power of data, ESO makes software that helps save lives. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast.

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Tuning Flink Clusters for Stability and Efficiency

Pinterest Engineering

Divye , Teja , Chen , Sam , Lu , Heng , Kanchi , Rainie , Dinesh , Ashish , Nishant , Pooja | Stream Processing Platform Team At Pinterest, stream data processing powers a wide range of real-time use cases. Our Flink clusters are multitenant and run jobs that concurrently process more than 20M msgs/sec across 12 clusters. Over the course of 2022 and early 2023, we’ve spent a significant period of time optimizing our Flink runtime environment and cluster configurations, and we’d like to share our

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Reality – What is it good for?

ArcGIS

Reality for ArcGIS Pro products power countless real-world applications in operational environments, and enable well informed decisions.

IT 98
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Complete Personalization, Complete Control: The Composable CDP

databricks

In a crowded retail marketplace, organizations increasingly compete for consumer time, attention and spend. Gone are the days where broadstroke advertisements and bulk.

Retail 89
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Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

KDnuggets

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

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12 Times Faster Query Planning With Iceberg Manifest Caching in Impala

Cloudera

Iceberg is an emerging open-table format designed for large analytic workloads. The Apache Iceberg project continues developing an implementation of Iceberg specification in the form of Java Library. Several compute engines such as Impala, Hive, Spark, and Trino have supported querying data in Iceberg table format by adopting this Java Library provided by the Apache Iceberg project.

Java 70
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Building a maintainable and modular LLM application stack with Hamilton

Towards Data Science

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Using the right tool, like Hamilton, can sure your stack doesn’t become a pain to maintain and manage. Image from pixabay. This post is written in collaboration with Thierry Jean and originally appeared here.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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Announcing Public Preview of Volumes in Databricks Unity Catalog

databricks

At the Data and AI Summit 2023, we introduced Volumes in Databricks Unity Catalog. This feature enables users to discover, govern, process, and.

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Exploring Tree of Thought Prompting: How AI Can Learn to Reason Through Search

KDnuggets

New approach represents problem-solving as search over reasoning steps for large language models, allowing strategic exploration and planning beyond left-to-right decoding. This improves performance on challenges like math puzzles and creative writing, and enhances interpretability and applicability of LLMs.

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Integrating Cloudera Data Warehouse with Kudu Clusters

Cloudera

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

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Data evaluation

InData Labs

Data is the world’s most valuable resource, so businesses’ investments in analysis are rising. However, many organizations overlook the importance of data evaluation, hindering the accuracy of their artificial intelligence (AI) models and other initiatives. In today’s environment, every business is becoming a data science company in some capacity. Amid that shift, organizations must make.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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Streamlining Azure VM Performance While Slashing Costs: Proven Strategies for Optimal Efficiency

Towards Data Science

Techniques for minimizing costs while not compromising efficiency Continue reading on Towards Data Science »

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Docker Tutorial for Data Scientists

KDnuggets

Interested in learning Docker for data science? Learn the basics of Docker and containerize data science apps in minutes.

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From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. But as the data volumes, data variety, and data usage grows, users face many challenges when using Hive tables because of its antiquated directory-based table format.

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How to design and animate a globe in ArcGIS Pro with Living Atlas content

ArcGIS

Here is a walk-through for creating spinning globe animations in ArcGIS Pro, like the ones you may have seen in the UC plenary

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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3 Reasons to Try and Buy Snowflake Native Apps on Snowflake Marketplace

Snowflake

Snowflake Native Apps introduce a new model for cloud-based software. To buy and use a traditional SaaS app, a business has to go through lengthy evaluations and verify that the application builder adhered to their standards of data security. This is a critical step because the application is processing data that belongs to the customer, and in order for the customer to use the app, the customer’s data must either be moved to where the application runs, or the application must collect or produce

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Will 300 million Jobs really be Exposed or Lost to AI Replacement?

KDnuggets

The authors of the Goldman Sachs report suggest that 300 million jobs might be affected by AI replacement. Here’s why reason to be both cautious and hopeful.

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Harnessing the Power of Knowledge Graphs: Enriching an LLM with Structured Data

Towards Data Science

A step-by-step guide to creating a knowledge graph and exploring its potential to enhance an LLM Continue reading on Towards Data Science »

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FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

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.

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HTML Best Practices

Knowledge Hut

HTML operates as the foundation for websites, giving structure and defining the content that appears on the web. Best practices must increase code quality, user experience, and development speed to maximize this flexible language's potential. Finding the best HTML course online is essential if you want to master HTML or hone your existing skills.

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A Practical Approach To Feature Engineering In Machine Learning

KDnuggets

This article discussed the importance of feature learning in machine learning and how it can be implemented in simple, practical steps.

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Google Sheets to Firebolt: 2 Easy Ways to Integrate Data

Hevo

Wouldn’t you like to uncover the full potential of your Google Sheets data with real-time analytics and actionable insights? This is where Firebolt, a game-changing analytics platform designed to provide you with insights at lightning speed, will be helpful.

Data 52
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FAQ: 5 Key Questions To Understand Retail Media Networks

Mutt Data

Retail Media Networks 101: 5 Essential FAQs Answered Retail Media Networks (RMNs) are reshaping the landscape of digital advertising. Both retailers and advertisers are increasingly finding themselves using these platforms. We thought it was as good a time as any to dive into what RMNs are, what sets them apart, and the key components you should look out for when building one.

Retail 52
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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

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.