Ascend.io

OCTOBER 28, 2024

Intermediate Data Transformation Techniques Data engineers often find themselves in the thick of transforming data into formats that are not only usable but also insightful. Intermediate data transformation techniques are where the magic truly begins. Ready to see it in Action?

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Striim

JULY 10, 2024

Data transformation includes normalizing data, encoding categorical variables, and aggregating data at the appropriate granularity. UPS Capital integrated Striim’s real-time data streaming with Google BigQuery’s analytics to enhance delivery security through immediate data ingestion and real-time risk assessments.

Management 52

Management Transportation Machine Learning High Quality Data 52

Striim

OCTOBER 11, 2024

This interconnected approach enables teams to create, manage, and automate data pipelines with ease and minimal intervention. In contrast, traditional data pipelines often require significant manual effort to integrate various external tools for data ingestion , transfer, and analysis.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

Rockset

MARCH 1, 2023

The default virtual instance will be dedicated to streaming ingestion in this example. Collection Creation At collection creation time, I can also create ingest transformations including using SQL rollups to continuously aggregate data.

Architecture 59

Architecture AWS SQL Cloud Storage 59