datapine
MAY 9, 2019
This concept is known as business intelligence. Business intelligence, or “BI” for short, is becoming increasingly prevalent across industries each year. But with business intelligence concepts comes a great deal of confusion, and ultimately – unnecessary industry jargon. Learn here! But more on that later.
AWS Big Data
APRIL 10, 2024
and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.
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datapine
SEPTEMBER 27, 2022
Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.
Howard Dresner
JANUARY 8, 2013
Dear Friends, Since last year I began supporting a new Business Intelligence blog on the Sandhill.com website , called "Dresner's Point". Each week I am joined by Business Intelligence and information management experts (e.g., Each week I am joined by Business Intelligence and information management experts (e.g.,
AWS Big Data
AUGUST 7, 2023
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. to create forecast tables and visualize the data. In our case, we use Amazon Redshift Query Editor v2.0
AWS Big Data
MAY 4, 2023
Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. Customers use their preferred SQL clients to analyze their data in Redshift Serverless. An Redshift Serverless data warehouse. If you don’t have one, you can sign up for one.
AWS Big Data
MARCH 1, 2024
One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.
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