Ghost in the data
  • Home
  • About
  • Posts
  • Topics
  • Resources
  • Tags
  • AI
  • AI Agents
  • AI Business Applications
  • AI Communication
  • AI Concepts
  • AI Productivity
  • AI Prompting
  • AI Workflows
  • Ai-Tools
  • Airflow
  • Analytics
  • AnalyticsEngineering
  • Anonymization
  • Apache Airflow
  • Apache Iceberg
  • Athena
  • Automation
  • AVRO
  • AWS
  • BankingData
  • Bedrock Edition
  • BigData
  • Blue-Green Deployment
  • Budgeting
  • Business Case
  • Business Value
  • Business-Communication
  • Career Advice
  • Career Development
  • Career Growth
  • Chapter Lead
  • ChatGPT
  • CI/CD
  • Claude
  • Claude-Code
  • Cloud Computing
  • Cloud Gaming
  • Code Review
  • Communication
  • ConceptualDataModeling
  • Continuous Learning
  • ContinuousIntegration
  • CSV
  • Culture
  • Data Architecture
  • Data Culture
  • Data Engineering
  • Data Ethics
  • Data Governance
  • Data Impact
  • Data Ingestion
  • Data Leadership
  • Data Modeling
  • Data Modelling
  • Data Pipeline
  • Data Pipelines
  • Data Quality
  • Data Reliability
  • Data Solutions
  • Data System Resilience
  • Data Testing
  • Data Transformation
  • Data Validation
  • Data Vault
  • Data Warehouse
  • Data Warehouse Architecture
  • Database Design
  • DataDemocratization
  • DataEngineering
  • Datafold
  • DataGovernance
  • DataMinimization
  • DataModeling
  • DataPipelines
  • DataPrivacy
  • DataQuality
  • DataTools
  • DataValidation
  • DataWarehouse
  • Dbt
  • Decision Making
  • Delta-Lake
  • Development
  • Development Tools
  • DevOps
  • DimensionalModeling
  • Emergency Fund
  • Emotional Intelligence
  • EmpatheticDesign
  • Employee Engagement
  • Employee Productivity
  • Engineering Career
  • ETL
  • ETL Pipeline
  • Family Gaming
  • Feedback
  • File Formats
  • Financial Independence
  • Frameworks
  • GCP
  • GDPR
  • Git
  • GitBash
  • GitHub
  • GitHub Actions
  • Hiring Strategies
  • Incident Response
  • Industry Trends
  • Inspirational Quote
  • Intergroup Conflict
  • Interviews
  • Job Security
  • Journal
  • Journaling Techniques
  • JSON
  • Kimball
  • Lambda
  • Language Models
  • Leadership
  • LLM
  • LLM Interaction
  • MacOS
  • Management
  • Mental Health
  • Mentorship
  • Mindfulness Practices
  • Minecraft
  • Moral Development
  • Onboarding
  • One-on-One Meetings
  • OpenSource
  • ORC
  • Organizational Culture
  • Parquet
  • Performance Optimization
  • Personal Growth
  • Pipeline
  • PostegreSQL
  • Presentation-Skills
  • Problem Solving
  • Production Issues
  • Professional Development
  • Professional Growth
  • Professional-Skills
  • Promotion
  • Psychological Safety
  • Public-Speaking
  • Python
  • RAG
  • Recruitment
  • Redundancy
  • Remote Work
  • RequirementGathering
  • RetentionPolicies
  • Risk Management
  • Robbers Cave Experiment
  • ROI
  • Roleplaying
  • S3
  • Schema Evolution
  • Self-Awareness
  • Self-Reflection
  • Server Setup
  • ServiceDesign
  • ShadowIT
  • SQL
  • SQL Standards
  • Sql-Agents
  • Sql-Validation
  • SSH
  • SSH Keys
  • Staff Engineer
  • Stakeholder Engagement
  • Stakeholder Management
  • StakeholderManagement
  • Star Schema
  • Starburst
  • Strategy
  • Strengths
  • Success Habits
  • Talent Acquisition
  • Team Building
  • Team Collaboration
  • Team Enablement
  • Team-Management
  • Technical Assessment
  • Technical Leadership
  • Testing
  • Tools and Access
  • Trino
  • Trust Building
  • UserExperience
  • UV
  • UV Package Manager
  • Value Creation
  • Vector Databases
  • Virtual Environments
  • Visualization
  • Vocal-Techniques
  • Vscode
  • WAP Pattern
  • Windows
  • Workplace Communication
  • Workplace Relationships
  • Workplace Stress
  • Write-Audit-Publish
  • Zsh
Hero Image
Data Industry Trends: What to Expect in 2025

Introduction The data industry has kicked off 2025 with transformative developments that are fundamentally reshaping our approach to data management and analytics. The landscape is witnessing seismic shifts - from Databricks’ historic funding round to Boomi’s strategic acquisition of Rivery, and the industry-shaking Iceberg buyout. Yet amid this technological evolution, a critical question emerges: how will these advancements translate into tangible value for organizations? As we navigate through this dynamic environment, the focus extends beyond identifying dominant technologies to understanding their practical impact on business outcomes. Let’s explore the key trends that are defining the data world in 2025, and more importantly, how they’re reshaping the way organizations leverage their data assets.

  • Industry Trends
  • Apache Iceberg
  • AI
  • Data Solutions
  • SQL
  • Data Governance
Saturday, January 18, 2025 Read