28 июн. 2022 г. · To be used for analytics - data science/analyst folks should primarily use it. Do not use for ETL. Also, redshift shouldn't used a streaming/ ...

13 мар. 2022 г. · Redshift is an analytical data warehouse. It's built for fast querying. So if you have analysts who will be querying this data to perform ...

19 апр. 2023 г. · Redshift is dived into two nodes so you can't directly do advance queries in the pg namespace. You will have to read those results into a table ...

18 мая 2024 г. · The simple answer is that you use these tools when you need to query or transform data that is larger than the memory of a reasonably-sized ...

18 мая 2017 г. · Redshift is used mainly for data analytics and reporting. All company data, whether from product, marketing, sales, etc., gets synced to ...

9 июн. 2024 г. · Making Redshift work right is very challenging, you need real engineers, but if done right, it's the cheapest petabyte scale warehouse.

3 нояб. 2023 г. · If your dataset is large and you are interested more in analytics than operational queries redshift will be cheaper and faster. Hope this helps!

21 февр. 2024 г. · Yes, 100% worth it, it's faster, the results look better and it's not that hard to learn. Plus it work across several programs so if you have to ...

12 сент. 2023 г. · How Does Anybody Make Good Use of Redshift? · It isnt magically scaleable like BigQuery · Doesn't have sharding · Doesn't have DB replication.

16 авг. 2023 г. · Redshift is not optimized for OLTP workloads, and hence you'd better not using it to process transactions. If you are looking for real ...