Sat.May 20, 2023 - Fri.May 26, 2023

article thumbnail

7 Data Engineering Projects To Put On Your Resume

Seattle Data Guy

Starting new data engineering projects can be challenging. Data engineers can get stuck on finding the right data for their data engineering project or picking the right tools. And many of my Youtube followers agree as they confirmed in a recent poll that starting a new data engineering project was difficult. Here were the key… Read more The post 7 Data Engineering Projects To Put On Your Resume appeared first on Seattle Data Guy.

article thumbnail

What is Data Storage and How is it Used?

Analytics Vidhya

As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data. From physical hard drives to cloud computing, unravel the captivating world of data storage and recognize its ever-evolving role in our […] The post What is Data Storage and How is it Used?

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Modeling - The Unsung Hero of Data Engineering: Architecture Pattern, Tools and the Future (Part 3)

Simon Späti

Welcome to the third and final installment of our series “Data Modeling: The Unsung Hero of Data Engineering.” If you’ve journeyed with us from Part 1, where we dove into the importance and history of data modeling, or joined us in Part 2 to explore various approaches and techniques, I’m delighted you’ve stuck around. In this third part, we’ll delve into data architecture patterns and their influence on data modeling.

article thumbnail

What's new in Apache Spark 3.4.0 - Structured Streaming and correctness issue

Waitingforcode

Apache Spark is infamous for its correctness issue for chained stateful operations. Fortunately things get improved in each release. The most recent one, the 3.4.0, also got some important changes on that field!

IT 130
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

article thumbnail

AI is Eating Data Science

KDnuggets

When it's all said and done, and AI has been universally recognized as our rightful overlords, the idea of data science as a standalone field will have been but a blip on our collective radar.

article thumbnail

Functional Python, Part III: The Ghost in the Machine

Tweag

Tweagers have an engineering mantra — Functional. Typed. Immutable. — that begets composable software which can be reasoned about and avails itself to static analysis. These are all “good things” for building robust software, which inevitably lead us to using languages such as Haskell, OCaml and Rust. However, it would be remiss of us to snub languages that don’t enforce the same disciplines, but are nonetheless popular choices in industry.

Python 101

More Trending

article thumbnail

Data Freshness Explained: Making Data Consumers Wildly Happy

Monte Carlo

What is data freshness and why is it important? Data freshness, sometimes referred to as data timeliness, is the frequency in which data is updated for consumption. It is an important dimension of data quality and a pillar of data observability because recently refreshed data is more accurate, and thus more valuable. Since it is impractical and expensive to have all data refreshed on a near real-time basis, data engineers ingest and process most analytical data in batches with pipelines designed

article thumbnail

A Deep Dive into GPT Models: Evolution & Performance Comparison

KDnuggets

The blog focuses on GPT models, providing an in-depth understanding and analysis. It explains the three main components of GPT models: generative, pre-trained, and transformers.

IT 118
article thumbnail

Top 5 Marketing Trends from a Chief Marketing Officer

Precisely

Author’s note: this article about marketing trends has been adapted from an article originally published in The CMO. What are your goals in 2023, and which marketing trends can help you achieve them? In my role as Chief Marketing Officer (CMO) here at Precisely, an important part of what I do is to keep a finger on the pulse of the latest marketing innovations and strategize with my team around how we may be able to capitalize on industry trends to produce even bigger and better results.

article thumbnail

A suite of sample geoprocessing tools for managing hyperlinks

ArcGIS

Learn more about a suite of sample data management tools to enable, add, remove or disable media hyperlinks to feature classes in geodatabases.

article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

article thumbnail

Announcing the Public Preview of Azure Databricks support for Azure confidential computing

databricks

We are excited to announce Azure Databricks support for Azure confidential computing (ACC) in preview! With this announcement, customers can run their Azure.

97
article thumbnail

The Future of AI: Exploring the Next Generation of Generative Models

KDnuggets

What Generative AI is currently capable of and the current challenges it needs to overcome to explore the next wave of generative AI models?

IT 127
article thumbnail

Unleashing Your Potential: 5 Strategies to Identify Breakout Leadership Opportunities in Tech

DoorDash Engineering

Contrary to popular belief that the key to an exceptional career is the accumulation of skills and experience over time, I believe that taking advantage of breakout opportunities is a game-changer in your career. Characterized by their high-visibility or high-impact nature, these breakout opportunities can propel your career to new heights as you meet their demands for a unique combination of expertise, creativity, and leadership skill.

article thumbnail

How Michelin Cut Kafka Costs by 35% with Confluent Cloud

Confluent

Learn how Confluent Cloud helped Michelin streamline Apache Kafka® operations, reduce costs, and go to market 8-9 months faster.

Kafka 95
article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

Model Risk Management, a true accelerator to corporate AI

databricks

Special thanks to EY's Mario Schlener, Wissem Bouraoui and Tarek Elguebaly for their support throughout this journey and their contributions to this blog.

article thumbnail

Data Engineering Landscape in the AI-Driven World

KDnuggets

Generative AI has just started to capture the imagination of data engineers, so the impact thus far has been just a fraction of what it will be a year or two from now.

article thumbnail

How to mask PII data with FPE using Azure Synapse

Towards Data Science

Learn to do Format Preserving Encryption (FPE) at scale, securely move data from production to test environments Continue reading on Towards Data Science »

article thumbnail

Discover Your Data’s Depth: Applications of ArcGIS Bathymetry Webinar

ArcGIS

Discover the power of ArcGIS Bathymetry in our upcoming webinar on June 20th. Learn how this advanced tool can empower your organization.

88
article thumbnail

Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

article thumbnail

Driving a Large Language Model Revolution in Customer Service and Support

databricks

Want to build your own LLM-enabled bot? Download our end-to-end solution accelerator here. Business leaders are universally excited for the potential of large.

article thumbnail

Free ChatGPT Course: Use The OpenAI API to Code 5 Projects

KDnuggets

With all the buzz surrounding the ChatGPT. Are you eager to make the most out of it? Here is the FREE video course that offers a comprehensive education about OpenAI API through detailed explanations and hands-on projects.

Project 111
article thumbnail

One Big Cluster Stuck: Data Asset Standardization

Cloudera

Data asset standardization is the purposeful and carefully planned consolidation of redundant, contradictory reports, processes, and databases into enterprise standards. The proliferation of data assets can have the greatest adverse impact on environmental health; standardization has many health benefits: Reduces the likelihood that ill-constructed assets take down processes, nodes, and clusters Reduces contention and competition for compute and storage Reduces process and service failures and a

article thumbnail

ArcGIS and Apache Log4j Vulnerabilities

ArcGIS

Esri's updated statement regarding Log4j vulnerabilities (Log4Shell) and ArcGIS products

107
107
article thumbnail

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

article thumbnail

A Complete Roadmap To Learn Data Structures and Algorithms (DSA)

Edureka

Introduction to Data Structures and Algorithms Data Structures and Algorithms are two of the most important coding concepts you need to learn if you want to build a bright career in Development. Majority of the top tech companies across the globe when hiring for Software Developers look for the candidate’s proficiency in Data Structures and Algorithms.

article thumbnail

What Are Foundation Models and How Do They Work?

KDnuggets

Foundation models represent a significant advancement in AI, enabling versatile and high-performing models that can be applied across various domains, such as NLP, computer vision, and multimodal tasks.

article thumbnail

The Executive’s Guide to Data, Analytics and AI Transformation, Part 5: Make informed build vs. buy decisions

databricks

A key piece of your data and AI transformation strategy will involve the decision around which components of the data ecosystem are built.

article thumbnail

Porting ArcGIS Desktop Schematic Diagrams to ArcGIS Pro Network Diagrams

ArcGIS

Learn how to port schematic diagrams created with ArcGIS Schematics to network diagrams from utility or trace networks using ArcGIS Pro

article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

Bombyx is being licensed for product development

Engineering at Meta

When we first conceived of our aerial fiber deployment solution, Bombyx (the Latin name for a silk moth), we imagined a robot weaving strands of fiber-optic cables over powerlines, helping human workers quickly connect communities even in very rural or remote locations. Now, after years of successful research, Bombyx is taking the next steps in its development.

article thumbnail

WebLLM: Bring LLM Chatbots to the Browser

KDnuggets

Wouldn't it be cool if you can run LLMs and LLM chatbots natively in your browser? Let's learn more about the WebLLM project, an interesting step in this direction.

Project 107
article thumbnail

Asian Employee Network: Celebrating the Expansive Asian Culture

databricks

The Asian Employee Network (AEN) launched two years ago, during Lunar New Year 2021. AEN was created with the objective of building a.

article thumbnail

Steps to Build ETL Pipeline for Beginners [+5 Tools]

Hevo

Extract, Transform, Load (ETL) is a critical process for businesses that prioritize data-driven insights. With the exponential growth of data sources and types, building and maintaining reliable data pipelines has become one of the more challenging parts of data engineering.

article thumbnail

The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.