Ascend Data Delivery

Data Delivery

Seamlessly deliver processed data to BI, analytics, machine learning, and AI tools​.​

Get Data Where It Needs to Go, When It Needs To Be There, With the Ascend Data Automation Cloud​

Native Notebook Connectors​

Native BI & Data Visualization Access​

Multi-Point Data Delivery

End-to-End Schema Management

					import pyspark
from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .master("local[*]") \
    .appName("test_sdl") \
    .config("spark.jars.packages", "org.apache.hadoop:hadoop-aws:3.2.0,com.amazonaws:aws-java-sdk-bundle:1.11.375") \

sc = spark.sparkContext

sc._jsc.hadoopConfiguration().set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
sc._jsc.hadoopConfiguration().set("fs.s3a.endpoint", "")
sc._jsc.hadoopConfiguration().set("fs.s3a.access.key", access_id)
sc._jsc.hadoopConfiguration().set("fs.s3a.secret.key", secret_key)

df ='s3a://trial/Getting_Started_with_Ascend/_DF__Clusters_w__Solar')

File-based Access​

Record APIs and SDKs​

From Our Customers


The New Data Scale Challenge
From struggling with data volume and infrastructures to scaling data team capacity—what is the answer to increasing bandwidth?
DataAware Podcast
With a variety of guests from all facets of data engineering and associated teams, episodes look in-depth at the role of data engineering and data teams, trends, best (and worst) practices, real world use cases, and more.
A Deep Dive Into Data Orchestration at Harry's
Learn how the Harry's data science team expedited ingesting, transforming, and delivering retail data feeds into a new, robust shared data model.

See More of the Platform