Marko Zivkovic
Find and start PuTTYgen

Using SSH keys to connect to a remote MySQL Server

November 28, 2019 by

In this article, it will be described how to connect to remote MySQL Server on Linux OS using SSH key pairs. Windows OS will be used as a host from which will be established a connection using PuTTY as a client. Besides using PuTTY as a client for establishing the connection to remote machines, it will be used to generate and use secure shell – SSH keys as well.

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Rajendra Gupta
SQL Server 2019 features

Overview of SQL Server 2019 General Availability and installation

November 19, 2019 by

Introduction

On November 4th, 2019, during the Ignite conference at Orlando, Microsoft released the General Availability of its flagship product Microsoft SQL Server 2019. SQL 2019 provides various enhancements to its core database engine and offers integration with Big data (Apache Spark, Data Lake), Machine learning, Linux/container compatibility with Kubernetes.

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Esat Erkec

SQL Variables: Basics and usage

November 18, 2019 by

In this article, we will learn the notions and usage details of the SQL variable. In SQL Server, local variables are used to store data during the batch execution period. The local variables can be created for different data types and can also be assigned values. Additionally, variable assigned values can be changed during the execution period. The life cycle of the variable starts from the point where it is declared and has to end at the end of the batch. On the other hand, If a variable is being used in a stored procedure, the scope of the variable is limited to the current stored procedure. In the next sections, we will reinforce this theoretical information with various examples

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Hadi Fadlallah
the general tab page of the execute sql task

SQL OFFSET FETCH Feature: Loading Large Volumes of Data Using Limited Resources with SSIS

November 14, 2019 by

In this article, we illustrate how to use the OFFSET FETCH feature as a solution for loading large volumes of data from a relational database using a machine with limited memory and preventing an out of memory exception. We describe how to load data in batches to avoid placing a large amount of data into memory.

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