Swimming in the Data Lake
Explore data lake concepts, best practices, and tools for effective data management and analytics in modern cloud environments.
Big Data Architectures and The Data Lake - Cloud
Explore big data architectures, data lakes, and modern data warehousing. Learn about Hadoop, cloud benefits, and strategies to effectively manage and analyze large-scale data for business intelligence.
Azure Storage Options for Analytics
Explore Azure storage options for analytics, including data lakes and databases. Learn best practices, structures, and appropriate choices for different scenarios to build effective data ecosystems.
Data Warehousing - Which of the Many Cloud Products is the Right One for You
Explore cloud-based data warehousing options, comparing Snowflake, Databricks, and Azure solutions. Learn to choose the best fit for your environment based on size, architecture, and unique features.
Unlocking The Data Lake With Azure Synapse SQL Serverless
Explore and transform massive data in Azure data lakes using SQL Serverless for Synapse. Learn to leverage T-SQL for analytics, BI, and ML at petabyte scale.
Building Data Lakes in Azure
Learn to build and leverage data lakes in Azure using Databricks and Synapse Analytics. Explore key services, implementation strategies, and querying techniques for modern data environments.
Data Virtualization - Data Lake Power Using SQL Big Data Cluster
Explore data virtualization with SQL Server 2019 Big Data Cluster, enabling seamless integration of diverse data sources for efficient processing and analysis of structured and unstructured data across cloud and on-premises environments.
How to Use Kubernetes to Build a Data Lake for AI Workloads
Learn to build a cloud-agnostic data lake using Kubernetes, Rook, and Ceph for AI workloads. Discover how to provide unified data access across multiple data centers for data scientists and developers.
Analyzing Operational Data at Scale Using ML at Intuit
Learn how Intuit uses ML techniques to detect anomalies and identify production issues in their Kubernetes services, leveraging an Operational Data Lake for real-time analysis of infrastructure and application events.
Presto - Today and Beyond - The Open Source SQL Engine for Querying all Data Lakes
Explore Presto's architecture, use cases, and future developments as an open-source SQL engine for querying data lakes, with insights on performance, scalability, and reliability improvements.
How to Dot Into Anything, Anywhere, Anytime - Facilitating Data-First Programming
Explore data-first programming with self-generating assemblies and Intellisense, enabling rapid problem-solving using new data sources and services. Learn Type Provider implementation and its advantages over Roslyn.
Serverless SQL Pipelines
Explore serverless SQL options across cloud platforms, comparing AWS and Google services. Learn architectural patterns for data lake pipelines and emerging serverless solutions.
Data Lakes Beyond Clusters
Explore serverless data lakes using Azure Data Lake Analytics. Learn to run on-demand experiments efficiently, leveraging familiar languages and tools for advanced analytics without cluster maintenance.
Serverless Architecture Patterns
Explore serverless architecture patterns, including functions vs. containers, Kubernetes deployment, and real-world applications in genomics pipelines, drawing from extensive cloud development experience.
Tackling I/O Challenges in Modern Data Lakes
Explore data lake evolution, cloud-native trends, and efficient data retrieval for big data analytics and AI workloads. Gain insights into I/O challenges and success stories in modern data platforms.
Secure and Efficient Data Sharing with Federated Cloud Storage
Discover how to build a virtual data lake system using federated cloud storage, focusing on secure data sharing between enterprises through metadata management and integration of open-source tools.
Optimizing Storage Solutions with Amazon S3 - Features and Best Practices
Master Amazon S3's advanced storage capabilities, from Glacier Instant Retrieval to Intelligent-Tiering, and learn to efficiently manage data lakes, analytics, backup solutions, and disaster recovery strategies.
Empowering Cloud Data with CTERA Data Services - Creating Custom Data Pipeline Workflows
Discover how to leverage global file systems for seamless cloud data management, create custom data pipelines, and implement analytics workflows using CTERA's advanced data services platform.
Data Lineage와 Ontology를 통한 데이터의 효과적인 관리와 활용
Discover how Accu.Dlion leverages Data Lineage and Ontology for efficient data management, tracking data flow and relationships in Snowflake DataLake environments for better decision-making.
AWS 클라우드에서 모던 데이터 플랫폼과 분석환경 구축하기
Discover how SK Telecom built a modern data platform on AWS, transforming their on-premise Datalake to cloud, featuring integrated analytics tools like Datahub, Jupyter, and QuickSight for enhanced data processing capabilities.
Lakehouse Architecture with Delta Lake and Databricks
Dive into Lakehouse architecture fundamentals, exploring Delta Lake format and Databricks platform implementation for modern data management and analytics solutions.