Method 2: Manual ETL Process to Set up Oracle to Snowflake Integration In this method, you can convert your Oracle data to a CSV file using SQL plus and then transform it according to the compatibility. You then
Macro photography on an iPhone lets you uncover tiny details you’d otherwise miss, like the fuzzy texture on a bumblebee, the ridges on a leaf, or the sparkle in a snowflake. Whether you're capturing the intricacies of nature, the texture of your next knitting project, or the details i...
Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it…
Indexation issues: Generating a large number of pages that are very similar can lead Google to see them as duplicates, which means they may not all get indexed (stored) for eligibility to show in search Complexity: Implementing programmatic SEO often requires a good understanding of technical SEO...
The IMDb dataset had two unique keys: Person and Title. If I was to build out this dataset in a modern snowflake model, I would need to generate other unique keys. That’s where surrogate keys come into play. Surrogate keys hold no business value or meaning other than to aid in data...
“best effort” only: sometimes parts will not be merged with the merge process scheduled at non-deterministic intervals. It, therefore, does not guarantee the absence of duplicates. Users can also utilize theFINALmodifier to force this deduplication atSELECTtime (again, use cautiously as it is ...
There can be Number and Text Filters, Date Filters, Advanced Filter, Data Form, Remove Duplicates, Outlining Data, and Subtotal. Vlookup & Hlookup Vlookup & Hlookup are very important functions used by analysts to find a value in a database and fetch other values corresponding to it. It ...
When combined with Airflow jobs/DAGs that are tolerant to running multiple times for the same period, our pipeline is fully idempotent and can be safely re-executed without resulting in duplicates. More details on internal Airflow design will be given below. ...
A data vault 2.0 contains raw and business vaults; a raw vault keeps all the raw data within the enterprise along with data duplicates, while the business vault is a layer on top of the raw vault that consists of business rules and calculations. The raw vault consists of three components:...
Using Pandas we can do it using the isin() function in the following ways: s = pd.Series(np.arange(10), dtype=np.float32) s.isin([4, 6]) output: Query function In R language we are required to use the subset function to perform conditional queries with the data set. The below ...