At the beginning of "Step 5. Prepare data", please try running the following code to load the wwi sample data provided by Microsoft (Tutorial: Load data using Azure portal & SSMS - Azure Synapse Analytics | Microsoft Learn). from pyspark.sql.types import * fact_s...
In this post, we'll do the following (seeLoading Streaming Data into Amazon Elasticsearch Service): Create a DynamoDB table with DynamoDB Streams enabled. The table must reside in the same region as our ES domain and have a stream set to New image. Create an IAM Role. This role must h...
from pyspark.ml.torch.distributor import TorchDistributor NUM_WORKERS = 4 # CHANGE AS NEEDED NUM_GPUS_PER_WORKER = 4 NUM_TASKS = NUM_WORKERS * NUM_GPUS_PER_WORKER NUM_PROC_PER_TASK = 1 NUM_PROC = NUM_TASKS * NUM_PROC_PER_TASK model, ckpt_path = TorchDistributor( num_...
insert into t_psn partition(type='boss') values(1,'zhangsan',18),(2,'lisi',19); 查询某个分区里的数据: select * from t_psn whrer type='boss';impala SQL: 创建数据库: - create database db1; - use db1; 删除数据库: - use default; - drop database db1;(删除数据库时要先使用另...
You can try pulling your data from your rest API source to datalake and store it in parquet format and you can build on it.For doing this you try building pyspark or scala program. Please refer this for more details -https://medium.com/@senior.eduardo92/rest-api-data-ingestion-with-...