A Fine Slice Of SQL Server
Preetdeep Kumar crosses the streams:
Apache Flink provides various connectors to integrate with other systems. In this article, I will share an example of consuming records from Kafka through
FlinkKafkaConsumerand producing records to Kafka usingFlinkKafkaProducer.
Read on for an example. I’m glad to see that integration between these two competitors (more exactly, Flink and Kafka Streams are competitors) is so easy.
Comments closedHimanshu Gupta walks us through the log4r package:
One of the most important aspect of an application is Logging. Since logs provide visibility into the behavior of a running app. Hence logs play a vital role in maintenance and enhancement of an application.
However, most of us are already aware with the importance of logging. That’s why we add them in our applications. But one thing that we are not aware of is that, the application should never be concerned with routing or storage of logs, i.e., it should not attempt to write to or manage logs or log files. Instead, each running process, within the application, writes logs to a stdout. In local environment, we can view the logs in the console whereas in staging/production environment, logs can be collated together in .log file(s).
Hence, in this blog post we will learn – how to collect, customize, and standardize R logs using log4r? But first let’s know what log4r is.
Read on for a demonstration of log4r and some of the settings you can choose.
Imke Feldmann takes us through an interesting scenario:
When downloading data from the web, it’s often best to grab the data from APIs that are designed for machine-to-machine communication than from the site that’s actually visible on the screen. Not only is the download usually faster, but you also often get more additional parameters that can be very useful. In this article I’m going to show you how to retrieve the relevant URLs for downloading files from webpages (without resorting to external tools like Fiddler) and how to tweak them to your needs.
Read on to see different techniques for finding a URL to give to end users.
Comments closedDenny Cherry walks us through the steps for updating a SQL Server 2019 Big Data Cluster:
If you’ve been running your SQL Server 2019 Big Data Cluster (BDC) for a while now, you probably want to patch it to the current (or a specific) build version.
Upgrading a BDC is actually fairly easy. A couple of commands will do the trick.
Read on for the steps.
Comments closedReza Rad shows us how to build out a substring using DAX:
Substring is one of the most common functions in many languages, However, there is no function named Substring DAX. There is a very simple way of doing it, which I am going to explain in this post. Substring means getting part of a string, for example from “Reza Rad”, if I want to get the start starting from index 2, for 4 characters, it should return “za R”. Considering that the first character is index 0. Let’s see how this is possible.
The answer’s not as pretty as a SUBSTRING() function would be, but it’s also not too far off.
David Klee walks us through the concept of resource pools in VMware:
Resource pools are used to hierarchically partition available CPU and memory resources, and are available for use at the VMware host cluster layer.
To better prioritize certain VMs over others, especially in a highly concurrent VM farm, I recommend leveraging three resource pools for SQL Server-on-VMware environments. Tier-1 can be created with a high value of resources assigned for CPU and memory; Tier-2 is normal; Tier-3 is low. Do not manually specify the amount of shares for each, as this metric will become skewed if compute hardware is added or removed from the host cluster.
Read on to understand why and how, as well as a few more tips around resource pools.
Comments closedMala Mahadevan has started learning a bit about PostgreSQL:
I had the opportunity of working on a project converting a postgres database to a sql server based one at work. I used this opportunity to learn more of this platform and decided to write some blog posts on it. I will be focusing quite a bit on how this compares with SQL Server as I go along and hope it will be useful.
PostGreSQL is an open source based relational database – it is easy to download and install from here. I chose the version available for Windows since mine involves a comparison with SQL Server on Windows and this is easier.
Click through for the installation steps.
Comments closedTomaz Kastrun shows us row-level security in Power BI:
Row -Level Security or managing roles in Power BI is not something new. But environments, where there is a need for securing read access for end-users based on their account name, are very frequent. Row Level Security is omitting and controlling access to a user or group (or distribution group in active directory) to rows on a single dataset (or table in SQL Server) and all the relationships to this dataset.
There is a performance cost to this, but if you need it, it’s there. Power BI row-level security can also work with Analysis Services row-level security and (to an extent, and this is new) SQL Server row-level security.
Comments closed