AWS Big Data

JULY 26, 2023

To grow the power of data at scale for the long term, it’s highly recommended to design an end-to-end development lifecycle for your data integration pipelines. The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop?

Data Integration 75

Data Integration Snapshot Testing Visualization 75

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Next, one of the most common data management tasks is to modify the schema of the table. 1 2008 7009728.

Snapshot 88

Snapshot Data Warehouse Machine Learning Cost-Benefit 88

AWS Big Data

MARCH 16, 2023

This post is co-written by Anish Moorjani, Data Engineer at SafetyCulture. Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

Cloudera

DECEMBER 21, 2021

Packaging Apache Airflow and exposing it as a managed service within CDE alleviates the typical operational management overhead of security and uptime while providing data engineers a job management API to schedule and monitor multi-step pipelines. Test Drive CDP Pubic Cloud.

Snapshot 115

Snapshot Data-driven Optimization Management 115

O'Reilly on Data

OCTOBER 19, 2021

Why: Data Makes It Different. In contrast, a defining feature of ML-powered applications is that they are directly exposed to a large amount of messy, real-world data which is too complex to be understood and modeled by hand. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices?

IT 346

IT Testing Experimentation Software 346

AWS Big Data

APRIL 27, 2023

Apache Iceberg is an open table format for data lakes that manages large collections of files as tables. It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. However, this requires knowledge of a table’s current snapshots.

Data Lake 76

Data Lake Snapshot Optimization Data Transformation 76