Enhancing SSIS ETL Tools with SolarWinds Task Factory

SQL Server Integration Services (SSIS) has been the de facto ETL tool for over 15 years for DBAs, Developers and Business Intelligence Professionals to extract, transform and load data (i.e. ETL tasks) for specific business processes, data-centric applications, data warehousing, reporting and data exchange between organizations. SSIS is a great product with high adoption across the globe, but has some limitations related to modern data sources, performance and streamlining tedious tasks. How can we overcome these limitations and have SSIS provide greater value?

Why a monitoring tool is an essential tool for growing server estates

As we continue into the era of supporting more and more database platforms in our data estates, self-monitoring goes from being a very difficult task to a truly daunting task. I am personally advanced at diagnosing Microsoft SQL Server performance issues, but when that PostgreSQL server gets added, I just have to hope nothing goes wrong for a few years while I learn.

Keeping Things Running

Today and tomorrow, as I write this, the Green Country Hamfest will be running up in Claremore, OK. Tomorrow morning, I'll be there to check out the tables and maybe pick up some new radio gear. I'll also be volunteering to help run the doors. Largely it involves just checking to be sure people paid […]

Performance Tuning with SQLFacts Tools

The need for performance tuning your SQL Server workloads has never been more critical. As workloads are moved into cloud services, their efficiency has a direct impact on the recurring bills. A workload that consumes more resources than necessary costs more to host in the cloud and affects the bottom line for your organization.

What motivates you to do your best?

In today's guest editorial: the motivation to do our best must come from within.

Democratizing Self Service Cloud Analytics and ELT Supporting Modern Cloud Data Management Approaches

Many organizations struggle with democratizing access to data and analytics in the cloud, particularly for self-service purposes. As a result, data and analytics projects often require significant IT involvement, leading to delays, bottlenecks, and inefficiencies. Additionally, data analytics, ELT, and BI tools often require specialized technical expertise, making them inaccessible to a broader range of users. To address these challenges, organizations can adopt cloud-based data and analytics platforms that provide self-service capabilities and support modern cloud data management approaches.

What are the biggest challenges organizations face in their digital transformation efforts?

As part of a recent Redgate Summit which focused on data modernization, Grant Fritchey interviewed Pramod Sadalage, a Director at Thoughtworks. They discussed data and DevOps, and the typical challenges organizations come across in their digital transformation efforts. Grant Fritchey shares this Q&A.

Information Schema Strangeness

An extra column in an information_schema view had Steve digging into standards.

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The ten habits for highly successful compliant database DevOps

Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier.

To implement it successfully, there are ten areas which teams should focus on.