Database Engineering Open Data Lakes and Out-of-the-Box Solutions What Will Be Cool in 2022

M. El-hadi
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Abstract

A closer look at three trends that will help enterprises get the most from their data. • By Dipti Borkar • December 10, 2021 Over the last year we’ve seen the rate of cloud adoption grow exponentially thanks in part to the cloud data warehouse, the cloud data lake, and the newer data lakehouse. In 2022 we’ll see the next phase of growth in the cloud -architecting for performance, the open data lake to augment the cloud data warehouse, and out-ofthe-box cloud solutions to drive innovation. For Further Reading: Executive Q&A: A Closer Look at Open Data Lake Analytics Executive Q&A: Data Lakehouses I Have a Data Warehouse, Do I Need a Data Lake Too? Trend #1: Database engineering is cool again! The debate about the data warehouse versus the data lake seemed to headline the past year, with a pronounced movement to the data lake. Now, in 2022, it’s time to make database engineering cool again -on the data lake. That means the database benchmarking wars will be back in action. As the performance of disaggregated query engines on data lakes meets or exceeds the performance of tightly coupled data warehouses, workloads will migrate to the
数据库工程开放数据湖和开箱即用的解决方案在2022年将会很酷
以下是帮助企业充分利用数据的三个趋势。在过去的一年里,我们看到云的采用率呈指数级增长,这在一定程度上要归功于云数据仓库、云数据湖和更新的数据湖。到2022年,我们将看到云计算的下一个增长阶段——性能架构、增强云数据仓库的开放数据湖,以及推动创新的开箱即用云解决方案。高管问答:开放数据湖分析高管问答:数据湖我有数据仓库,我还需要数据湖吗?趋势1:数据库工程又酷起来了!关于数据仓库和数据湖的争论似乎是过去一年的头条新闻,并明显转向了数据湖。现在,到了2022年,是时候让数据库工程在数据湖上再次变得酷起来了。这意味着数据库基准大战将重新开始。当数据湖上分解查询引擎的性能达到或超过紧耦合数据仓库的性能时,工作负载将迁移到
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