Mon.Jul 15, 2024

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The software engineering industry in 2024: what changed, why, and what is next

The Pragmatic Engineer

The past 18 months have seen major change reshape the tech industry. What does it all mean for businesses and dev teams – and what will pragmatic software engineering approaches look like in the future? I tackled these burning questions in my conference talk, “What’s Old is New Again,” which was the keynote of the Craft Conference in May 2024.

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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

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Explore BlueBikes ride data with ArcGIS Pro Charts

ArcGIS

In this blog article, we'll explore BlueBikes data, a bike share service in bustling Boston, and uncover hidden insights through the power of visualization

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Convert Bytes to String in Python: A Tutorial for Beginners

KDnuggets

Strings are common built-in data types in Python. But sometimes, you may need to work with bytes instead. Let’s learn how to convert bytes to string in Python.

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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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Generative AI in Urban Planning

ArcGIS

Planning a city block, a neighborhood, or maybe a whole new city is a multifaceted task with no universal recipe to use. How can Generative AI help Urban Planners?

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Snowflake’s Summer of Sports and AI

Snowflake

All eyes are on sports this summer, with blockbuster events happening in everything from soccer and cycling to cricket and car racing. Snowflake is excited to join the action with a virtual “relay race,” where Snowflake sports and data experts, customers and partners will demonstrate how the sports industry can win big with data and AI. Industry leaders already know that sports runs on data analytics: from individual athlete performance and team statistics, to marketing and fan engagement, to ti

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Announcing the General Availability of Serverless Compute for Notebooks, Workflows and Delta Live Tables

databricks

We are excited to announce the General Availability of serverless compute for notebooks, jobs and Delta Live Tables (DLT) on AWS and Azure.

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5 Tips for Managing Data Science Teams

KDnuggets

Data scientists are still people, and these tips can improve how to manage them.

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Understanding Develocity Build Data with Honeycomb

Pinterest Engineering

David Chang; Staff Software Engineer | Develocity, formerly known as Gradle Enterprise, is a powerful tool that speeds up local and CI build time, helps troubleshoot your builds, and analyzes your data. At Pinterest, we have a dedicated team, Mobile Builds, and we ensure that developers can build fast and often. This enables developers to be more productive by getting faster feedback on their code.

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Becoming a Data Owner: Roles, Responsibilities, and 4 Best Practices

Monte Carlo

Companies are discovering that their most valuable asset isn’t just data—it’s data with a custodian. Enter the data owner, a role that’s part babysitter, part asset manager, and part translator between the ones and zeros and the suits in the C-suite. It’s a position that sits at the intersection of technology, strategy, and governance—a triad that’s increasingly defining competitive advantage in our data-saturated economy.

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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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GCP Cloud Run Monitoring with Datadog

RandomTrees

Datadog is a powerful monitoring and analytics platform for modern cloud environments. It provides real-time visibility into your infrastructure, applications, and logs. Overview of Datadog Datadog is a monitoring and analytical tool for Cloud-scale applications. It can be used by IT and DevOps team which provides real-time visibility into application, monitoring the performance and health of their applications, infrastructure and services in real-time.

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Generative AI Use Case: Using LLMs to Score Customer Conversations

Monte Carlo

Despite all the talk about AI replacing humans, Skynet blowing up the sun, and deep-fake celebrities parenting our children, it’s difficult to point to a generative AI use case that it’s demonstrably more interesting than your average run-of-the-mill chatbot. But what if instead of replacing customer support teams with chatbots, we could leverage AI to improve the performance of real human CS teams?

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A Deep Dive into Data Lakes

Hevo

In this information age, there has been explosive growth in the rate and type of data generated daily. From mobile devices and IoT sensors to our online content, unprecedented amounts of data are generated. Traditional databases and warehouse technologies cannot handle this data volume and variety burst.

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PySpark Explained: User-Defined Functions

Towards Data Science

What are they, and how do you use them?

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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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Snowflake Horizon: Revolutionizing Data Management and Analytics

Hevo

Has it ever occurred to you that the volume of data your business processes daily is too overwhelming? You are not alone. So many companies need help in managing and analyzing enterprise data efficiently. Introducing Snowflake Horizon, the game-changing solution that will revolutionize data management and analysis.

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Investigating Code Quality from PR Data by Amy Laws

Scott Logic

When a developer wants to make changes to a code base, they raise a pull request (PR) which contains the proposed changes to the code and a written summary of the changes made. Other developers will then review this PR, leaving comments or suggestions, before ultimately deciding whether to approve the changes. PRs contain valuable data which can help us to get an insight into the process of writing code, and the teams involved.

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A Deep Dive into Data Lakes

Hevo

In this information age, there has been explosive growth in the rate and type of data generated daily. From mobile devices and IoT sensors to our online content, unprecedented amounts of data are generated. Traditional databases and warehouse technologies cannot handle this data volume and variety burst.

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Safeguarding App Health and Consumer Experience with Metric-Aware Rollouts

DoorDash Engineering

As part of our ongoing efforts to enhance product development while safeguarding app health and the consumer experience, we are introducing metric-aware rollouts for experiments. Metric-aware rollouts refer to established decision rules to flag issues with automated checks on standardized app quality metrics during the new feature rollout process. Every action DoorDash takes focuses on enhancing the consumer experience.

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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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Apache Iceberg vs Parquet – Comparing Table and File Formats

Hevo

Apache Iceberg and Parquet are popular storage formats in the big data industry. However, they are also often confused terms. So today, we’ll compare these two storage formats, their features, and their unique capabilities. Moreover, they are not competing technologies but complementary ones.

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Demystifying Data Mesh

Precisely

Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. While a data mesh empowers domains with greater autonomy and innovation through human expertise, greater capabilities are needed by domain teams to properly access, organize, and govern data products.

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Celebrating Our Canada Office Opening

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … Several members of our engineering, security, corporate engineering, and recruiting teams were recently in Toronto for our office opening in ea