Quick and informed decision-making is a critical ability for businesses to stay ahead of competitors. Making data-driven decisions efficiently demands more and better organized information. Unfortunately, many data teams are overwhelmed with maintenance tasks and troubleshooting data quality issues. When data teams are unable to keep up with requests, business leaders, frustrated by delays, create their own localized data solutions.
We previously compared Sisense and Tableau but we wanted to compare Sisense to another similar, and popular, tool Power BI. Both tools have their specific uses and we will go over them today so that you can choose the best product for your project.
Need your Cloud Architectural Diagrams to pack more of a punch during presentations? We discuss tips on how to create clear and persuasive diagrams.
You're investing in a new dashboard tool and are comparing the best in the business: Sisense and Tableau. Both have their strengths for...
This post explores the diametric set of databases that fall into the non-relational category and serves to disentangle those services which are offered on AWS.
Choosing the right AWS Database can be difficult. Today we discuss AWS Relational Databases Amazon RDS, Amazon Aurora and Amazon Redshift. Their technical capabilities as well as their advantages.
DataStage. DataStage (DS) is the industry standard ETL (Extract, Transform, and Load) tool. It has been rewritten to fit into IBM's cloud environment, as part of IBM Cloud Pak for Data.
Understand the Transformation Types and Job Configurations as this technical walk through shows how to transform data in Data Stage with Transformer Stage.
In this article, we are just going to focus on using loops for tables. Say that you have 20 or more tables of data that you need copied from a source database to a destination database on a daily or weekly basis.
We discuss all the best tips for a better code review: How to Review, How to Code in Prep for Review, and how to create a Coding Governance plan to create consistency across all teams.
There are four types of Code Reviews: Instant, Asynchronous, Synchronous, or Team Review. Each has their advantages and disadvantages. You need to find one that works best for your team dynamic.
Today we discuss how to use Shell Scripting within DataStage by listing possible uses and giving a walkthrough example of an Unzip Script within DataStage