Ascend.io Logo

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") \
    .getOrCreate()

sc = spark.sparkContext

sc._jsc.hadoopConfiguration().set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
sc._jsc.hadoopConfiguration().set("fs.s3a.endpoint", "https://s3.ascend.io")
sc._jsc.hadoopConfiguration().set("fs.s3a.access.key", access_id)
sc._jsc.hadoopConfiguration().set("fs.s3a.secret.key", secret_key)

df = spark.read.parquet('s3a://trial/Getting_Started_with_Ascend/_DF__Clusters_w__Solar')
				
			

File-based Access​

Record APIs and SDKs​

From Our Customers

Resources

The New Data Scale Challenge
From struggling with data volume and infrastructures to scaling data team capacity—what is the answer to increasing bandwidth?
Whitepaper
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.
PODCAST
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.
Video

See More of the Platform