June 2023 Summaries

As organizations increasingly utilize cloud warehouse engines like Snowflake, Amazon Redshift, and Google BigQuery for ELT (extract, load, and transform) operations, many are unaware of the potential cost savings and flexibility offered by a data lakehouse approach. The lakehouse architecture, which integrates the strengths of both data lakes and data warehouses, allows for the storage and analysis of a wide range of data types and supports various analytics capabilities, including BI, machine learning, and AI. By performing ELT operations in a data lakehouse, such as one powered by Apache Hudi, organizations can achieve significant cost reductions and enhanced performance. A real customer case highlighted a potential $960K annual saving by transitioning from a cloud data warehouse to a Onehouse data lakehouse, reducing data latency and improving data processing capabilities. This transformation not only offers cost benefits but also provides a unified and interoperable data architecture, ensuring a reliable source of truth and future-proofing against vendor lock-in. This approach is gaining traction as a scalable, efficient solution for modern data processing needs.

PrestoCon Day 2023 was a vibrant event that showcased the extensive use and potential of Presto in data analytics, featuring talks from various companies like Adobe and Alibaba on topics such as query performance and best practices. The event brought together Presto enthusiasts and experts who shared insights and innovations, highlighting Presto's applicability across different industries. Key discussions included the challenges of changelog stream ingestion, materialization, and incremental ETL, with solutions offered through Hudi and Flink integration. Hudi's capabilities, such as its index layer and file layout, were discussed as solutions to overcome these challenges by optimizing storage, supporting schema evolution, and enabling efficient query performance. The integration of Hudi with Presto was emphasized for enabling near real-time analytics, showcasing its metadata indexing table service, which enhances query speed by efficiently managing data partitions and indexes. The event highlighted Presto's growing role in modern data analytics, with increasing adoption and contributions from various organizations, underscoring its significance as a cornerstone technology.

Onehouse offers a managed solution to streamline the process of building and maintaining a data lakehouse, addressing challenges associated with a DIY approach. Data lakehouses combine the benefits of data lakes and warehouses, but establishing one requires significant expertise, time, and resources. Onehouse automates the setup, optimization, and maintenance phases, reducing the need for large teams and extensive planning. The platform provides tools for data integrity, efficient data modeling, and seamless transition from batch to streaming data pipelines, all while ensuring data privacy and interoperability without vendor lock-in. Cost controls and autoscaling capabilities help manage expenses effectively. By using Onehouse, organizations can focus on deriving insights from their data without being bogged down by the complexities of infrastructure management.

When designing a data platform, prioritizing security, privacy, and compliance is crucial, especially when involving third-party vendors that handle data outside your organization’s security perimeter. Using Data Integration tools that require data to be processed and stored externally can expose it to vulnerabilities, as seen in breaches at companies like Datadog and Atlassian. Onehouse Architecture addresses these concerns by processing data within your private cloud accounts, maintaining security and compliance while avoiding data residency risks. It uses technologies like Apache Hudi to ensure compliance with regulations such as GDPR and supports open formats to prevent vendor lock-in. Deployment is straightforward with tools like Cloud Formation or Terraform, and the architecture ensures no inbound connections are needed, enhancing security. Onehouse offers flexibility and cost savings, demonstrated through efficient data management solutions like Zoom's GDPR compliance, and is available on the AWS Marketplace for easy access and implementation.