{"id":5945,"date":"2023-08-03T10:18:50","date_gmt":"2023-08-03T14:18:50","guid":{"rendered":"https:\/\/solutionsreview.com\/data-management\/?p=5945"},"modified":"2023-08-10T16:38:21","modified_gmt":"2023-08-10T20:38:21","slug":"embracing-the-open-source-data-lakehouse-5-things-to-know","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-management\/embracing-the-open-source-data-lakehouse-5-things-to-know\/","title":{"rendered":"Embracing the Open-Source Data Lakehouse: 5 Things to Know"},"content":{"rendered":"

\"Open<\/p>\n

Solutions Review\u2019s <\/strong><\/i>Contributed Content Series<\/u><\/strong><\/i><\/a> is a collection of contributed articles written by thought leaders in enterprise technology. In this feature, Presto<\/a> Foundation Chair Girish Baliga, in collaboration with IBM VP of Hybrid Data Management Vikram Murali offer commentary on embracing the data lakehouse through open-source.<\/strong><\/i><\/span><\/p>\n

As two active members of an open-source data community, we often get asked about where we see the future of data going. And right now, we are witnessing a significant shift in the data landscape with companies increasingly embracing the data lakehouse architecture. This is no longer just an idea or theory \u2013 companies are adopting the data lakehouse to power mission critical workloads and applications at big scale. At Uber and IBM respectively, we see the Data Lakehouse playing a crucial role in our world, whether it\u2019s powering the data analytics behind Uber Eats or scaling AI workloads for all of your data.<\/span>\u00a0<\/span><\/p>\n

While there are many pieces to the Data Lakehouse architecture, we see open source playing a big role to drive this transformation. As the volume, velocity, and variety of data continue to grow exponentially, traditional data warehousing approaches are no longer price performant to meet evolving demands. The data lakehouse is a powerful paradigm that combines the best of data lakes and data warehouses offering better price performance while leveraging open technologies and open data formats.\u00a0<\/span>\u00a0<\/span><\/p>\n

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Embracing the Open Source Data Lakehouse<\/h2>\n

The Importance of Open-Source in the Data Lakehouse Architecture\u00a0<\/strong><\/h3>\n

Open-source has become an integral part of the modern technology landscape, revolutionizing the way software is developed, distributed, and maintained. An open-source community fosters collaboration, innovation, and transparency. When it comes to data processing and analytics, the open-source approach provides numerous advantages. It enables organizations to harness the collective expertise of a vast community of developers on a project and contribute back to that project. Add to that no vendor lock-in and more flexibility in choosing the technologies that work best for their specific workload, we can see why this approach has become mainstream over the past year.<\/span>\u00a0<\/span><\/p>\n

Based on our experience and belief in open-source, these are a few of the critical pieces to consider as you move to the data lakehouse.<\/span>\u00a0<\/span><\/p>\n

Open-Source Query Engine\u00a0<\/strong><\/h3>\n

The engine for the lakehouse enables efficient and high-performance data processing and analysis. That engine should be able to provide:<\/span>\u00a0<\/span><\/p>\n