Towards Data Science

NOVEMBER 4, 2023

The data engineering landscape is constantly changing but major trends seem to remain the same. How to Become a Data Engineer As a data engineer, I am tasked to design efficient data processes almost every day. It was created by Spotify to manage massive data processing workloads. Datalake example.

Data Engineering 79

Data Engineering Data Engineer Engineering BI 79

Towards Data Science

MARCH 9, 2023

Although within a big data context, Apache Spark’s MLLib tends to overperform scikit-learn due to its fit for distributed computation, as it is designed to run on Spark. Datasets containing attributes of Airbnb listings in 10 European cities ¹ will be used to create the same Pipeline in scikit-learn and MLLib. Source: The author.

Machine Learning 72

Machine Learning Building Datasets Scala 72

ProjectPro

FEBRUARY 8, 2023

In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. AWS Glue automates several processes as well.

AWS 98

AWS Scala Metadata Data Lake 98

Pinterest Engineering

MAY 2, 2023

We set up a separate dataset for each event type indexed by our system, because we want to have the flexibility to scale these datasets independently. In particular, we wanted our KV store datasets to have the following properties: Allows inserts. We need each dataset to store the last N events for a user.

Lambda Architecture 66

Lambda Architecture Datasets Software Engineer Software Engineering 66

Ascend.io

MAY 24, 2023

But as data engineering professionals, we’re well aware that handling this data is no easy task. The question then arises: how can we efficiently manage and process this ever-growing mountain of data to uncover the value it holds? The answer lies in building efficient healthcare data pipelines.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Monte Carlo

FEBRUARY 26, 2024

It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. With Ataccama, AI detects related and duplicate datasets. Coginiti Coginiti data catalog.

Metadata 52

Metadata Government Data Data Governance 52

Striim

NOVEMBER 8, 2023

Organizations can have data product managers who control the data in their domain. They’re responsible for ensuring data quality and making data available to those in the business who might need it. Data as a product This principle can be summarized as applying product thinking to data.

Architecture 52

Architecture Generalist Government Datasets 52