How I landed a $392k offer at FAANG after getting laid off from LinkedIn
A former LinkedIn employee secured a $392,000 offer at a top tech company after experiencing a layoff.
Data Strategie
50 articles
What You Need to Know About Scaling Agentic AI
Companies need to approach agentic AI as a systems engineering problem to successfully scale it.
how to remove duplicates from a very large txt file (+200GB)
Removing duplicate data from large txt files over 200GB requires innovative tools for optimal performance.
Am i losing my mind? I just audited a customer’s stack: 8 different analytics tools. and recently they added a CDP + Warehouse just to connect them all.
A recent audit of a customer stack with eight different analytics tools highlights the increasing complexity of data management.
Operationalize analytics agents: dbt AI updates + Mammoth’s AE agent in action
dbt introduces AI updates that simplify the operationalization of analytics agents and enhance context for LLM models.
Four approaches to data infrastructure modernization
Organizations need to modernize their data infrastructure to meet growing demands and uncover new business insights.
The Finance Leader as Strategic Architect: How Snowflake Intelligence Transforms the Modern CFO
Snowflake Intelligence provides CFOs with real-time insights and AI-driven decisions to enhance their strategic role.
Social Media Intelligence: Turn Signals Into Enterprise Insights
Social media signals are increasingly critical for businesses as they now serve as a source of valuable enterprise insights.
Stop calling yourself a "Data Engineer" — we are AI Collaboration Partners now!
The role of data engineers is evolving towards AI collaboration partners, marking a significant shift in the industry.
The Industry is Designing AI for Machines, Not for Humans. That is Not a Mistake.
The trend towards designing AI for machines rather than humans signals a shift in industry responsibility.
Fivetran product updates | Blog | Fivetran
Fivetran is launching new product updates that significantly enhance data analysis capabilities.
Real-Time Fraud Detection: Kafka to ClickHouse with GlassFlow
The combination of GlassFlow and ClickHouse provides an efficient solution for real-time fraud detection using Kafka.
Monthly Entering & Transitioning into a Business Intelligence Career Thread. Questions about getting started and/or progressing towards a future in BI goes here. Refreshes on 1st: (April 01)
The monthly thread on starting and transitioning into a Business Intelligence career provides valuable insights for aspiring professionals.
The Best Customers to Study When Scaling Into a New Market
Tech companies are encouraged to refine their customer analysis for successful expansions into new markets.
Why website MDM just got important for AI and BI
The emergence of website Master Data Management (MDM) is crucial for integrating AI and BI into data-driven strategies.
FAANG Data Engineers — what does your day actually look like, and is it worth it?
FAANG data engineers face a dynamic and challenging workday filled with numerous responsibilities.
Is it just me or does DE feel like tools overload and a high school tools popularity contest?
The overwhelming number of tools in data engineering creates confusion and a competitive atmosphere among professionals.
Why Unstructured Data Will Decide Whether AI Delivers Real Value in 2026
Unstructured data will be crucial for AI value creation by 2026, and companies need to leverage it strategically now.
AI vs. generative AI: Key differences and examples
The differences between AI and generative AI are crucial for BI professionals looking to maximize data effectiveness.
How can I improve the visual design of my reports? Any UX/UI course recommendations?
Enhance report visual design with UX/UI by following practical courses for better accessibility and user experience.
Level Up Your Crisis Management Skills
Enhance your crisis management skills by gaining insights from leaders who have guided large organizations through unforeseen situations.
Why Vibe Coding Is About To Change Work In Every Industry
Vibe Coding promises to drastically transform how we work across all industries.
How AI Is Transforming The Communications Industry: Lessons From FleishmanHillard
AI is redefining the communications industry, with specific lessons from FleishmanHillard that help BI professionals identify opportunities.
AI Agents Are About To Change Gaming Forever
AI agents are set to transform the gaming industry, offering gamers a more dynamic experience.
Designing a pricing & availability model for hotel data (Power BI + snapshots) — looking for feedback
A new pricing and availability model for hotel data in Power BI provides valuable insights for the travel industry.
Modern Data Frameworks and the Rise of the Human-Agent Org Chart
The rise of human-agent organizational charts is transforming collaboration between data, technology, and people within modern organizations…
If AI Took Your Job, Your Company Was Already Lost
AI technologies are disrupting jobs, but many companies were already struggling before they laid off employees.
AI Grows Up: Enterprise Priorities Beyond Experimentation
The rise of AI in businesses requires a balanced combination of innovation and governance for success.
Snowflake Intelligence for Retail: Scaling Enterprise AI
Snowflake unveils new AI applications specifically for the retail sector, allowing companies to leverage their data more effectively.
How Pleo achieved Customer 360 | Blog | Fivetran
Pleo has operationalized Customer 360 data in HubSpot without sacrificing governance or accuracy.
Stukadoorsclub maakt korte metten met verbouwstress
Stukadoorsclub enhances the renovation process by leveraging technology to combat stress and improve planning.
When Not to Use AI
AI can speed up decision-making, but misuse may lead to poor judgment and productivity loss.
Building an AI tool to free analysts from constant repetitive ad hoc requests — is this a real problem or am I wrong about the market?
A new AI tool addresses the analyst bottleneck by simplifying ad hoc data requests for businesses.
How are most B2C teams handling multi channel analytics without dedicate BI platforms or teams
B2C teams are increasingly leveraging multichannel analytics without relying on extensive BI platforms.
What do you think the next big shift in data engineering will be?
The shift towards event-driven data pipelines will shape the future of data engineering with more dynamic processing capabilities.
A rant about job application keywords
Criticism of using specific keywords in job listings can lead to missed opportunities for experienced candidates.
Real-time Analytics News for the Week Ending March 28
Oracle has announced new agentic AI features for its Oracle AI Database, marking a significant advancement in real-time analytics.
Business process automation for multi-channel reporting
Business process automation can significantly enhance the data quality of BI dashboard reporting.
Advantages of DE tools like databricks/dbt?
Databricks and dbt offer significant advantages for data engineering through enhanced performance and user-friendliness.
[OC] High-depth flow analytics: Beyond the standard Sankey. Customer Journey visualization.
High-depth flow analytics provide powerful insights for visualizing customer journeys, surpassing traditional Sankey diagrams.
we spend 80% of our time firefighting data issues instead of building, is a data observability platform the only fix?
Eighty percent of BI teams' time is lost to data issues, but data observability could provide a solution to this crisis.
Stop Looker Studio Lag: 5 Quick Fixes for Faster Reports
Avoid delays in Looker Studio by implementing five quick fixes for faster and more efficient reports.
6Q4:How AI Is Moving from Promise to Practice
AI is beginning to fulfill its promise, enabling companies to harvest real value now.
How should I upskill ?
Many data engineers are facing challenges due to outdated Python skills, limiting their job opportunities.
What's next after data engineering?
Data engineers have various career paths available, including roles as data architects or data scientists, which are crucial for a data-driv…
Which legacy Database is the biggest pain in the a*** to work with and why?
The biggest challenge with legacy databases is their complex use and management, making the work of BI professionals more difficult.
Next-Gen Data Engineering: 6 Snowflake Features Transforming How You Build
Snowflake introduces six groundbreaking features that automate data engineering processes and boost productivity.
Stop using AI for "Insights." Use it for the 80% of BI work that actually sucks.
AI tools are often used to generate insights, but addressing the challenging 80% of BI work should take priority.
Optimizing Order Sourcing for Markdown Avoidance Through the Agentic Shift
The integration of AI agents in Order Management Systems allows companies to avoid unnecessary markdowns and optimize their purchasing strat…
Working as a Data Engineer in a Bank
Data engineers in the banking sector enjoy an improved work-life balance and fewer meetings.