Solving your ETL problems,
One question at a time
What are the pitfalls to avoid when implementing an ETL (Extract, Transform, Load) tool?
Before deciding on an ETL tool you need to define your data pipeline requirements. Learn more.Yossi Zini • Oct 15, 2018
What do you need to consider if I will be creating an event-driven ETL?
Event-driven ETL, also known as a data pipeline, differs from classic ETL in that they treat source data as a stream rather than pulling batches of data every (insert-interval-here). The first thing to consider is - do you need a data pipeline (event-driven ETL)?Yuval Barth • Oct 15, 2018
Why did you choose Snowflake over Amazon Redshift for your cloud data warehouse?
Learn about the advantages Snowflake has over Amazon Redshift, including costs, database features, and maintenance.Yair Weinberger • Oct 15, 2018
How can CSV data be loaded into Amazon Redshift?
Loading a CSV to Redshift is a pretty straightforward process, however some caveats do exist, especially when it comes to error-handling and keeping performance in mind. Learn more here.Alooma Team • Sep 27, 2018
How do I transfer Amazon Mysql RDS data into Amazon Redshift?
There are a few ways to address this problem, and it mostly depends on what the requirements are: incremental dump and load, full dump & load, binlog replication, or a SaaS provider. Learn more.Yair Weinberger • Sep 27, 2018
What are the fundamental principles behind Extract, Transform, Load?
ETL is the process of extracting data from a data store used for a certain task(s), and loading it to another data store to be used for some other task.Yuval Barth • Sep 19, 2018
What is Striim?
Striim is a real-time, streaming analytics and data integration platform. This allows analysis while data is “in-flight”.Alooma Team • Jul 26, 2018
What is Confluent?
Confluent is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.Alooma Team • Jul 24, 2018
Is it possible to convert a database into a data warehouse?
Learn about the two different ways to convert a database into a data warehouse.Sagi Yosefia • Jul 13, 2018
What problem is Kafka solving?
Kafka allows you to think big, without compromising on the stability, reliability and the high performance of your system.Maytal Shamir • Jul 13, 2018
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