How To: Ingest Kafka Event Data with Flex Code Data Connectors
This How-to video will provide you with an overview of how you can now quickly and easily ingest Kafka event data into the Ascend Unified Data Engineering Platform.
Release Notes: 2/16/2021
Weekly release notes for the week of February 16, 2021. Stay updated with our latest updates, new features, and performance enhancements.
How To: Getting Started with Flex Code Data Connectors
This How-to video will provide you with an overview of the new Flex Code Data Connectors, including how to get started with your own connectors.
How To: Connecting Ascend.io to Power BI via ODBC
This how-to will walk through how to set up an ODBC connection between Ascend and Power BI in cases when your dataset is too large to expose through the web connector.
Supercharging Time to Analysis at Harry’s
Harry’s head of analytics, Pooja Modi, and data analyst, William Knighting, spearheaded a new initiative to find a more powerful solution to expedite ingesting, transforming, and delivering data feeds to Looker in a manner that correlates brand information across functions. With these criteria in mind, the Harry’s data team found The Ascend Unified Data Engineering Platform.
Ascend Unveils Flex-code Data Connectors for Rapid Data Ingestion
Unifying Fragmented Data Ecosystems, Ascend.io Offers New Flexible Coding Options to Build Custom Data Connectors and Support for 40+ Connector Types
Keeping Up with Data Engineering: A Resource Guide for Data Engineers
As the demand for data engineers increases, data teams must be prepared with the right tools and resources to ensure the role maintains a productive and effective workflow
Ascend.io Expands Global Partner Program to Drive Enterprise Digital Transformation Success
The Ascend Partner Program augments the Ascend Unified Data Engineering Platform with solutions and services curated to meet the needs of modern enterprise business data projects and to significantly accelerate enterprise digital transformation timelines.
New Release: Python SDK
We are excited to announce the release of our new Python SDK! This SDK sits on top of Ascend’s public API, and is dynamically generated based upon the Protocol Buffer and gRPC (which we use extensively) definitions of all components within the Ascend platform.
GigaOm Webinar | Data Pipeline Automation & Dynamic Intelligence
Data pipelines are a reality for most organizations but they can be operationally brittle. However, it doesn’t have to be that way. Advances in machine learning can take pipeline automation […]
Ascend.io and Qubole Partnership Enables Data Pipelines with 95% Less Code
The Ascend for Qubole integration enables joint customers to self-service advanced data pipelines for modern, cloud data lake environments
New Feature: Dataflow JDBC/ODBC Connector
This feature leverages the same intelligent persistence layer that backs Queryable Dataflows and Structured Data Lakes, and joins it (pun intended) with the SparkSQL Thrift JDBC/ODBC Server to provide the ability to directly access and query your Dataflows from your favorite environment, whether it is a BI tool like Looker, or your favorite SQL workbench.
