Calling Azure Cognitive Services From SSIS

Rolf Tesmer shows off how easy it is to call Azure Cognitive Services from SQL Server Integration Services:

My SQL SSIS package leverages the Translator Text API service.  For those who want to learn the secret sauce then I suggest to check here – https://azure.microsoft.com/en-us/services/cognitive-services/translator-text-api/

essentially this API is pretty simple;

  1. It accepts source textsource language and target language.  (The API can translate to/from over 60 different languages.)

  2. You call the API with your request parameters + API Key

  3. The API will respond with the language translation of the source text you sent in

  4. So Simple, so fast, so effective!

Click through for the full post.  It really is simple.

Related Posts

Hyperparameter Tuning with MLflow

Joseph Bradley shows how you can perform hyperparameter tuning of an MLlib model with MLflow: Apache Spark MLlib users often tune hyperparameters using MLlib’s built-in tools CrossValidator and TrainValidationSplit.  These use grid search to try out a user-specified set of hyperparameter values; see the Spark docs on tuning for more info. Databricks Runtime 5.3 and 5.3 ML and above support […]

Read More

TensorFrames: Spark Plus TensorFlow

Adi Polak gives us an introduction to TensorFrames: In all TensorFrames functionality, the DataFrame is sent together with the computations graph. The DataFrame represents the distributed data, meaning in every machine there is a chunk of the data that will go through the graph operations/ transformations. This will happen in every machine with the relevant […]

Read More

Categories

March 2018
MTWTFSS
« Feb Apr »
 1234
567891011
12131415161718
19202122232425
262728293031