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People often ask me, Why did you join Snowflake, and why did you choose to work on developer productivity? I joined Snowflake to learn from world-class engineers and be part of the highly collaborative culture. These have been the secret sauce to Snowflakes rocket-ship growth. Snowflake was embarking on a remarkable transformation of developer productivity, and I had to jump on the rocket ship as it was taking off!
Run powerful reasoning models locally, matching the performance of OpenAI's o1 capabilities, completely free, and avoid paying $200 a month for a pro subscription.
New year, new data-driven opportunities to unlock. In 2025, its more important than ever to make data-driven decisions, cut costs, and improve efficiency especially in the face of major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. But overcoming these obstacles is easier said than done, as evidenced by key findings from the 2025 Outlook: Data Integrity Trends and Insights report, published in partner
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
The global data landscape is experiencing remarkable growth, with unprecedented increases in data generation and substantial investments in analytics and infrastructure. According to data from sources like Network World and, G2 the global datasphere is projected to expand from 33 zettabytes in 2018 to an astounding 175 zettabytes by 2025, reflecting a compound annual growth rate (CAGR) of 61%.
What is a Red Team? Imagine you’re a company with a solid cybersecurity setup, but how do you know it can withstand a real cyberattack? This is where a Red Team comes in. Red Teams are cybersecurity professionals who simulate real-world attacks to test an organization’s security. Their goal is to find vulnerabilities that could be exploited by actual hackers, helping companies identify weak spots and improve their defenses.
How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard.
How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard.
Full-stack development is a popular and adaptable technology today. A Full-stack developer works on both the front end, which is what users see and interact with, and the back end, which manages everything that happens in the background. These special skills have made them very important in the technology business. The salary of a Full-stack developer will be discussed in this blog along with industry-specific factors like experience and workplace location.
This blog describes the new change feed and snapshot capabilities in Apache Spark Structured Streamings State Reader API. The State Reader API enables.
Every year, Precisely’s Summer Internship Program welcomes a group of college students from around the world. These students join our global teams to learn the ins and outs of how our organization works, and how their role fits into the bigger picture. As a result of their time with us, interns come away with valuable firsthand learnings and experience that they can apply immediately as they move forward with their education and career paths.
In this episode, Im joined by Technology Lead Andrew Carr and CTO Colin Eberhardt to delve into the evolving nature of technology strategies within organisations. As technological advancements accelerate, we question the relevance of a traditional long-term technology strategy and whether it has become an industry buzzword in itself. We explore the annual ritual of tech predictions and strategic planning, and whether it is practical or performative.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Written by Shima Nassiri and IdoBright Network Effect At Lyft, we run various randomized experiments to tackle different measurement needs. User-split experiments account for 90% of the randomized studies due to the higher power and fit for most use cases. However, they are prone to interference or network bias. In a multi-sided marketplace, there is no such thing as a perfect balance of supply and demand and one side of the market is congested: if we have oversupply, we can run rider-split expe
In our previous blog , we explored the methodology recommended by our Professional Services teams for executing complex data warehouse migrations to Databricks.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
This blog describes the new change feed and snapshot capabilities in Apache Spark Structured Streamings State Reader API. The State Reader API enables.
How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard.
Overview I have recently completed a secondment to the Business Operations (Bus Ops) department within Scott Logic. Before I joined the team, I did not have any understanding of what the team did. However, that understanding soon changed within a month of joining and continued to uncover new paths for the duration of my secondment. When I joined the team, I was astounded as to how much reporting is required within the Bus Ops team.
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