ANSWERS
Solving your ETL problems,
One question at a time
Keeping your data pipeline working properly. It is an ever-growing, never-ending job.
Yuval Barth • Feb 28, 2019ETL tools will become simpler to setup and use, will move to the cloud, and they’ll put much more focus on real-time data processing.
Ofri Raviv • Dec 14, 2018Learn the pros and cons of building your own Python ETL versus using an automated ETL tool.
Eli Oxman • Nov 2, 2018Before deciding on an ETL tool you need to define your data pipeline requirements. Learn more.
Yossi Zini • Oct 15, 2018Event-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, 2018Learn about the advantages Snowflake has over Amazon Redshift, including costs, database features, and maintenance.
Yair Weinberger • Oct 15, 2018Loading 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, 2018There 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, 2018ETL 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<2>2>
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