Consolidate your SQL Server data into your analytics warehouse.

Consolidate your Postgres data into your analytics warehouse!

Integrate your MySQL database with popular data warehouses such as BigQuery, Snowflake, Redshift, or Delta Lake by Databricks.

Integrate your Google Sheets with your relational database or popular data warehouses like BigQuery, Redshift, or Snowflake.

Salesforce to MySQL integration is a breeze using DreamFactory's instant REST API creation capability. This quick tutorial shows how easy it is to integrate your Salesforce instance with a MySQL database to manage any number of data transactions you may want to push or pull between the systems.

In this episode of Michael Kaminksy's Databases Demystified, he explores: What does “consensus” mean and why is it important? Learn about the two-generals problem and what it teaches us about reaching consensus Learn about the main consensus algorithms in distributed databases: Raft & Paxos

In the first episode of Databases Demystified with Michael Kaminsky, we give a high-level overview of the most important concepts in databases. We start with a brief history of databases going from the invention of relational databases through present day and we talk about the differences between analytical and transactional databases, distributed and single-node databases, and in-memory vs on-disk databases We finish up talking briefly about SQL and what makes it special.

In this episode of Michael Kaminksy's Databases Demystified, we learn all about what a transaction is, and what ACID means. Learn why database constraints are important, and what the commands "begin" "commit" and "rollback" mean. We talk about atomicity, consistency, isolation, and durability and why transactions are so important.

Welcome to episode 5 of Michael Kaminksy's Databases Demystified, In this lesson we continue talking about transactions, but here we really get into the meat of transactions and talk about isolation levels and locks in much more detail.