EP92 - AskDeveloper Podcast - من السيرفر الى السحابة - حنجيب سيرة قواعد البيانات مع أحمد عياد
Update: 2024-11-17
Description
لو خطر في بالك قبل كده ليه عندنا كل قواعد البيانات دي, و ليه فيه منهم انواع مختلفة DBMS, NOSQL و غيرهم, طيب الناس اللي بتشتغل على الحاجات دي ايه التحديات اللي بيواجهوها, و ايه التخصص ده و ايه المتطلبات بتاعته.
Ahmed Ayad is a SQL Engineer by trade, a database guy by education and training, and data dude by passion.
I am currently an Engineering Director of the Managed Storage and Workload Management team in Google #BigQuery, building the best large scale enterprise data warehouse on the planet.
My team owns the core parts of BigQuery involved in managing user data, metadata catalog, streaming and batch ingestion, replication, resource management and placement, physical sharding, and structured lake analytics. Over the years we have:
- Grew data under management by several orders of magnitude.
- Grew BigQuery's global footprint to more than 20+ regions and counting.
- Enabled the hyper scaling of data analytics for a Who's Who list of Fortune 500 users, both Enterprise and Cloud-native.
I am passionate about building cool technologies at scale, and the effective teams that create them.
Things I did in previous professional lives:
- I have shipped components in SQL Server product since SQL Server 2008. Worked on the Performance Data Collector, Policy Based Management, AlwaysOn, The Utility Control Point, SQL Azure stack from the backend to the middle-tier and Portal, SQL Server Agent, SQL Server Optimizer, and SQL Server Management Tools.
- Did Database research in the areas of Data Mining, Query Optimization, and Data Streaming.
Ahmed Ayad is a SQL Engineer by trade, a database guy by education and training, and data dude by passion.
I am currently an Engineering Director of the Managed Storage and Workload Management team in Google #BigQuery, building the best large scale enterprise data warehouse on the planet.
My team owns the core parts of BigQuery involved in managing user data, metadata catalog, streaming and batch ingestion, replication, resource management and placement, physical sharding, and structured lake analytics. Over the years we have:
- Grew data under management by several orders of magnitude.
- Grew BigQuery's global footprint to more than 20+ regions and counting.
- Enabled the hyper scaling of data analytics for a Who's Who list of Fortune 500 users, both Enterprise and Cloud-native.
I am passionate about building cool technologies at scale, and the effective teams that create them.
Things I did in previous professional lives:
- I have shipped components in SQL Server product since SQL Server 2008. Worked on the Performance Data Collector, Policy Based Management, AlwaysOn, The Utility Control Point, SQL Azure stack from the backend to the middle-tier and Portal, SQL Server Agent, SQL Server Optimizer, and SQL Server Management Tools.
- Did Database research in the areas of Data Mining, Query Optimization, and Data Streaming.
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