Seattle Data Guy

MAY 20, 2023

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.

Data Engineering 147

Data Engineering Data Engineer Project Engineering 147

The Pragmatic Engineer

MAY 25, 2023

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and high-growth startups through the lens of engineering managers and senior engineers. In this issue, we cover one out of six topics from today’s subscriber-only The Scoop issue. To get full articles twice a week, subscribe here.

Software Engineer 311

Software Engineer Software Engineering AWS Engineering 311

Analytics Vidhya

MAY 24, 2023

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?

Data Storage 179

Data Storage IT Cloud Computing Cloud 179

Data Engineering Podcast

MAY 21, 2023

Summary Batch vs. streaming is a long running debate in the world of data integration and transformation. Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. The batch world has been the default for years because of the complexities of running a reliable streaming system at scale.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

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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?

Business Intelligence

Simon Späti

MAY 26, 2023

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.

Architecture 130

Architecture Data Engineering Data Engineer Engineering 130

Waitingforcode

MAY 24, 2023

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

IT 130

Tweag

MAY 24, 2023

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 111

Python Programming Language Programming Coding 111

Simon Späti

MAY 26, 2023

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.

Architecture 130

Architecture Data Engineering Data Engineer Engineering 130

Monte Carlo

MAY 26, 2023

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

Data Pipeline 98

Data Pipeline Data Data Warehouse Machine Learning 98

KDnuggets

MAY 25, 2023

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 128

IT Process 128

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.

Data

Precisely

MAY 23, 2023

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.

Data Integration 98

Data Integration Technology Process IT 98

Pinterest Engineering

MAY 25, 2023

Representation online matters: practical end-to-end diversification in search and recommender systems Bhawna Juneja | Senior Machine Learning Engineer; Pedro Silva | Senior Machine Learning Engineer; Shloka Desai | Machine Learning Engineer II; Ashudeep Singh | Machine Learning Engineer II; Nadia Fawaz | (former) Inclusive AI Tech Lead Introduction Pinterest is a platform designed to bring everyone the inspiration to create a life they love.

Utilities 96

Utilities Food Machine Learning Algorithm 96

Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance. In our article we solve typical data engineering tasks using ChatGPT and Python.

Data Engineering 91

Data Engineering Data Engineer Engineering Data Science 91

KDnuggets

MAY 22, 2023

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 134

IT 134

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.

Manufacturing

ArcGIS

MAY 23, 2023

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

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databricks

MAY 23, 2023

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

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DoorDash Engineering

MAY 23, 2023

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.

Designing 84

Designing Engineering Technology Building 84

KDnuggets

MAY 23, 2023

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 113

Project Coding Education IT 113

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.

Systems

ArcGIS

MAY 24, 2023

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

Management 98

Management Media Data Management Data 98

databricks

MAY 24, 2023

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

Management 98

Management 98

Confluent

MAY 23, 2023

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

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Kafka Cloud 96

KDnuggets

MAY 24, 2023

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.

Data Engineering 107

Data Engineering Data Engineer Engineering Data 107

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.

Project

ArcGIS

MAY 24, 2023

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

Utilities 98

Utilities Telecommunication Data Management Management 98

databricks

MAY 23, 2023

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.

Building 91

Building Machine Learning 91

Workfall

MAY 23, 2023

Reading Time: 6 minutes Sometimes, developing a full-stack application is not the end of the journey for a web developer. Let us take a case scenario whereby, you have a backend, a frontend, and also a database. For such a setup, we would like to make it easy to replicate our application in different environments let’s say development, staging, and production.

AWS 79

AWS Database Architecture Certification 79

KDnuggets

MAY 23, 2023

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.

Machine Learning 100

Machine Learning 100

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.

Business Intelligence

ArcGIS

MAY 22, 2023

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

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112

databricks

MAY 25, 2023

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

Data Analytics 91

Data Analytics Building Data 91

Cloudera

MAY 22, 2023

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

Professional Services 73

Professional Services Database Data Governance Data 73

KDnuggets

MAY 22, 2023

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 102

Project IT 102

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.

Government