The data lakehouse is fast becoming the default choice for enterprises that want to balance agility with trust.| CDInsights
AlgoX2, a distributed data streaming infrastructure platform building a solution for throughput-critical applications, today announced it has raised $3.5 million in seed funding. The round was led by Bessemer Venture Partners and included angel investors from major technology companies. Data infrastructure continues to evolve from traditional on-premises warehouses to cloud-based lakehouses capable of distributing information […] The post AlgoX2 raises $3.5M to modernize data streaming infr...| SiliconANGLE
Precision therapeutics for rare diseases as well as complex oncology cases is an area that may benefit from Agentic AI Closed-Loop (AACL) systems to enable individualized treatment optimization — a continuous process of proposing, testing, and adapting therapies for a single patient (N-of-1 trials). N-of-1 problems are not typical for either clinicians or data systems. […]| Perficient Blogs
El data lakehouse combina lo mejor del data lake y del data warehouse. Conoce su arquitectura, beneficios y tendencias clave en la nube.| blog.bismart.com
The modern enterprise faces an unprecedented challenge: managing explosive data growth while extracting meaningful insights that drive business value. For decades, organizations have struggled with a fundamental trade-off between data warehouses and data lakes, sacrificing either flexibility for performance or cost-effectiveness for governance. Enter the data lakehouse, a revolutionary architecture that eliminates this compromise entirely. […] The post The Data Lakehouse: The Future of Ente...| Techwards
Recent analyses indicate that approximately 90% of the world’s data has been generated within the past two years, and according to IDC, the volume of data stored globally is doubling approximately every four years. That’s the projection from IDC’s Global DataSphere Forecast, and it underscores the urgent need for businesses to make sense of rapidly … Continue reading Top Databricks Use Cases That Are Changing the Game in Business Analytics The post Top Databricks Use Cases That Are Ch...| Credencys Solutions Inc.
PrestoDB, an open-source distributed SQL query engine, allows you to query data from multiple disparate sources. When combined with Apache Superset, an| PrestoDB
Reading Time: 4minutesImagine you’re a financial analyst at a pension fund, racing against the clock to deliver a major corporate client’s portfolio breakdown before fiscal year end. You’re juggling CRM data, financial market reports, and a tangle of Excel exports. Or picture... The post Beyond the Lakehouse: Denodo’s RAG-Driven Data Revolution appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
Learn what Lakehouse AI is, its key features, benefits, and real-world use cases to streamline data and accelerate AI model deployment.| HatchWorks AI
This tutorial provides a comprehensive guide to building an Open Data Lakehouse from scratch, a modern and flexible data architecture solution. Open Data| PrestoDB
This post is the second in a series on data lakehouses, expanding on the key insights shared in “Data lakehouse benefits: Why enterprises are choosing this modern data architecture”. In that article, we explored the reasons behind the rapid adoption of lakehouse platforms and how they blend the flexibility of data lakes with the governance […] The post Data lakehouse strategy: Build a foundation for real-time, AI-ready insights appeared first on The Quest Blog.| The Quest Blog
A new report reveals that most organizations plan to adopt data lakehouses as their primary analytics architecture by 2027.| CDInsights
With Dremio and Apache Iceberg, managing partitioning and optimizing queries becomes far simpler and more effective. By leveraging Reflections, Incremental Reflections, and Live Reflections, you can maintain fresh data, reduce the complexity of partitioning strategies, and optimize for different query plans without sacrificing performance. Using Dremio’s flexible approach, you can balance keeping raw tables simple and ensuring that frequently run queries are fully optimized.| Dremio
Maintaining an Apache Iceberg Lakehouse involves strategic optimization and vigilant governance across its core components—storage, data files, table formats, catalogs, and compute engines. Key tasks like partitioning, compaction, and clustering enhance performance, while regular maintenance such as expiring snapshots and removing orphan files helps manage storage and ensures compliance. Effective catalog management, whether through open-source or managed solutions like Dremio's Enterprise ...| Dremio
Explore a comparative analysis of Apache Iceberg and other data lakehouse solutions. Discover unique features and benefits to make an informed choice.| Dremio
Integrating Snowflake with the Dremio Lakehouse Platform offers a powerful combination that addresses some of the most pressing challenges in data management today. By unifying siloed data, optimizing analytics costs, enabling self-service capabilities, and avoiding vendor lock-in, Dremio complements and extends the value of your Snowflake data warehouse.| Dremio
Dremio serves BI dashboards from Apache Druid or Apache Iceberg tables, simplifying data delivery for business intelligence.| Dremio
Learn why Apache Arrow is significant for data interoperability and accelerating analytics workflows in our latest post.| Dremio
The latest release of the Vertica analytical database, now OpenTextTM VerticaTM includes a lot of features that Vertica customers have been eagerly awaiting like: Resharding the database as needed Rollback snapshots that capture a moment in time without a whole other data copy Workload routing so you can automate directing specific queries to just the right compute for that type of job. And more ...| OpenText™ Vertica™