Data movement: The ultimate guide
Data movement refers to the ability to transfer data through a variety of methods from one source or system in your company to another destination.
Snowflake Workloads Explained: Data Lakes
Snowflake’s cross-cloud platform breaks down silos by supporting a variety of data types and storage patterns. Data engineers, data scientists, analysts, and developers across organizations can access governed structured, semi-structured, and unstructured data for a variety of workloads, without resource contention or concurrency issues.
Beyond data integration: Why data movement is the future
Future uses of data will require an automated data movement platform, not just data pipelines as single point solutions.
Power BI Data Preparation in 5 steps
Microsoft Power BI is a fantastic tool for data visualization and business intelligence. But as any data analyst can attest, before you can build metrics and dashboards, you need to spend more than 1/3 of your time preparing and cleaning the dataset for your Power BI instance. Luckily, there is a better way to cut down on this time-consuming task. In this article you will learn.
Do You Really Need a Data Vault?
Data Vault 2.0 modeling methodology has gained immense popularity since its launch in 2013. It’s a hybrid model that combines the benefits of Third Normal Form (3NF) and star schema architectures, making it a dream solution for data warehousing engineers. But is it worth implementing for your data warehouse architecture? The answer isn’t straightforward, as there are many factors to consider. So, let’s dive in and explore whether Data Vault 2.0 is right for you.
Getting started with Terraform and Datastream: Replicating Postgres data to BigQuery
Datastream, a serverless database replication service, has integrated with Terraform to enhance app modernization, data analytics and ML pipelines.
When Ransomware Hits Healthcare
By now, most healthcare leaders know that their sector is a top target for ransomware.
Isn't the Data Warehouse the Same Thing as the Data Lakehouse?
A data lakehouse is a data storage repository designed to store both structured data and data from unstructured sources. It allows users to access data stored in different forms, such as text files, CSV or JSON files. Data stored in a data lakehouse can be used for analysis and reporting purposes.
Styling your Apps, Charts, Sheets - part 3 - Chart Styling
This video in the Do More with Qlik - Tips and Tricks edition playlist provides you with some tips and tricks and things you should know when it comes to styling your Qlik Sense charts.
Transaction Support Using Apache Phoenix
This video provides a short demo on Apache Phoenix transaction support in Cloudera Operational Database (COD). COD supports Apache OMID (Optimistically Transaction Management In Datastores) transactional framework. The transaction support in COD enables you to perform complex distributed transactions and run atomic cross-row and cross-table database operations. The atomic database operations ensure that your database operations must either be completed or terminated.