#Big Data
14 articles with this tag
Snowflake Adaptive Compute Goes Live
Snowflake's Adaptive Compute is now live, aiming to provide dynamic, performant, and cost-efficient infrastructure for AI-driven data workloads.
Databricks Indexes Speed Up Text Search
Databricks introduces beta full-text search indexes to accelerate text queries on large datasets by up to 100x, without application changes.
Databricks Hits Petabyte Scale Ingest
Databricks Zerobus Ingest achieves petabyte-scale data ingestion at 12 GB/s per table, eliminating infrastructure management.
Liquid Clustering Replaces Partitioning
Databricks' Liquid Clustering is replacing traditional partitioning, offering major performance gains and debunking myths about data layout.
Uber's Knapsack Problem
Uber's Tarot platform employs a sophisticated Multiple Knapsack Problem solver to optimize incentive allocation, balancing user experience with strict budget constraints.
LinkedIn Sales Navigator Search Speed Boost
LinkedIn engineers drastically cut Sales Navigator's search data processing time by optimizing its Spark pipeline, enabling faster results for users.
Databricks Unifies Lakehouse with Catalog Commits
Databricks launches Catalog Commits, enhancing its lakehouse with unified governance, improved interoperability, and multi-table transaction support.
Databricks Speeds Up Analytics with Sketch Functions
Databricks enhances analytics with new sketch functions, delivering orders-of-magnitude speedups for percentile, distinct count, and top-K queries.
Snowflake's 2012 Data Platform Revolution
Snowflake's 2012 data platform architecture revolutionized cloud data management by decoupling compute and storage, a principle that continues to shape the agentic enterprise.
Enterprise Data Science Gets Real
Discover how 15 enterprise data science use cases are transforming operations, from manufacturing to finance, leveraging modern lakehouse architectures.
Spark Streaming Hits Millisecond Latency
Databricks' Apache Spark Structured Streaming real-time mode is now GA, offering sub-second latency and consolidating streaming needs onto a single engine.
AI vs. ML: What's the Difference?
AI is the broad concept of machines mimicking human intelligence, while machine learning is a specific method where systems learn from data.
Qualytics Secures $10 Million Series A Funding to Control Data Quality
Qualytics raises $10M for AI data quality while Gartner projects that 70% of organizations will automate data quality by 2027.
