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​

  • Connect Jupyter, Zeppelin, and more directly to Ascend for fast and efficient access to data as it moves through your data workloads

Native BI & Data Visualization Access​

  • Feed data directly from Ascend to your BI and Data Visualization tools via Ascend’s High Performance Records API

Multi-Point Data Delivery

  • With just a few clicks, replicate data to multiple endpoints—database, data warehouse, data lake or more

  • Ensure data integrity no matter how many delivery points with Ascend's DataAware intelligence

  • Save time and resources by optimizing cross-cloud data transfers

End-to-End Schema Management

  • Schemas are validated before the pipelines even run saving time, costs, and hassle

  • Never worry about schema mismatches at the delivery point again with Ascend's DataAware intelligence

					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​

  • Get direct access to Ascend’s internal storage (.snappy.parquet) files for efficient processing by other big data systems

  • File-based Access offers fully transaction reads across multiple files, and guarantees that the data available is always linked directly to an active data pipeline

Record APIs and SDKs​

  • Read records from any stage of any data pipeline via Ascend’s high throughput records API.

  • Connect Ascend directly to your applications, BI, and visualization tools with one easy API.

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.