Last Week Reading (2022-01-02)
?? Press Efficient Upserts into Data Lakes with Databricks Delta When MERGE on data lake is inefficient. Building a Data Mesh Architecture in Azure – part 1 With this...
2022-01-02
12 reads
?? Press Efficient Upserts into Data Lakes with Databricks Delta When MERGE on data lake is inefficient. Building a Data Mesh Architecture in Azure – part 1 With this...
2022-01-02
12 reads
? Press Efficient Upserts into Data Lakes with Databricks Delta When MERGE on data lake is inefficient. Building a Data Mesh Architecture in Azure – part 1 With this...
2022-01-02
1 reads
?? Press SynapseML: A simple, multilingual, and massively parallel machine learning library Microsoft just announced the release of SynapseML (previously known as MMLSpark) SSH File Transfer Protocol (SFTP) support...
2021-11-28
6 reads
? Press SynapseML: A simple, multilingual, and massively parallel machine learning library Microsoft just announced the release of SynapseML (previously known as MMLSpark) SSH File Transfer Protocol (SFTP) support...
2021-11-28
1 reads
SQL Server 2022 is still in private preview (Microsoft MVP folks have access to it), but you can now read about the new release before it is released: SQL...
2021-11-22
187 reads
SQL Server 2022 is still in private preview (Microsoft MVP folks have access to it), but you can now read about the new release before it is released: SQL...
2021-11-22
1 reads
When it comes to Azure Data Factory deployment, I always have a few words to say. You might be aware that there are two approaches in this terms. I...
2021-11-26 (first published: 2021-11-01)
171 reads
When it comes to Azure Data Factory deployment, I always have a few words to say. You might be aware that there are two approaches in this terms. I...
2021-11-01
1 reads
Man does not live by work alone. Everyone needs a hobby, preferably in isolation from their daily work. There is not much to read in this post. As a...
2021-06-25
21 reads
Both, Azure Data Factory and Azure Databricks offer transformations at scale when it comes to ELT processing. On top of that, ADF allows you to orchestrate the whole solution...
2021-02-11 (first published: 2021-02-04)
218 reads
By DataOnWheels
SQL Saturday Baton Rouge is a great event hosted on LSU’s campus that has...
By Chris Yates
In the rush to adopt artificial intelligence, many organizations have quickly built ethical frameworks,...
By Rohit Garg
What Is TempDB and Why It Matters TempDB is a shared system database in SQL...
Comments posted to this topic are about the item How a Legacy Logic Choked...
Comments posted to this topic are about the item When DBAs Should Consider Using...
Hi all, I have a data flow task with: Flat File Source (csv) ->...
You're tasked with planning capacity for a new SQL Server database workload. Which of the following is the most accurate way to determine how much CPU, memory, and I/O throughput your workload requires? What single or multiple tools would you use to answer the questions around resource needs?
See possible answers