Christophe Blefari

FEBRUARY 23, 2024

Enabling near real-time data analytics on the data lake — Grab showcasing what they did with Flink and Hudi to enable real-time use-cases. Data Economy 💰 MariaDB takeover at $37m. Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL).

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

Data Engineering Podcast

AUGUST 6, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Sifflet also offers a 2-week free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

OCTOBER 2, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

IT 100

IT Food PostgreSQL MongoDB 100

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. The majority are still draining streaming data into a data lake or a warehouse and are doing batch analytics.

SQL 52

SQL Kafka MongoDB MySQL 52

Rockset

OCTOBER 20, 2021

This can be helpful when you want to reduce the size of large scale data streams, deduplicate data, or partition your data. Collections can also be created from other data sources including data lakes (e.g. DynamoDB or MongoDB), and relational databases (e.g. PostgreSQL or MySQL).

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Databand.ai

DECEMBER 13, 2022

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52