DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. If you need help to understand how these tools work, feel free to drop us a message!

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

ProjectPro

DECEMBER 7, 2021

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Monte Carlo

FEBRUARY 15, 2023

A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems. An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse. The following diagram explains how integrations work.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

JANUARY 26, 2022

Below we list the core duties that this data specialist may undertake. Data modeling. One of the core responsibilities of an analytics engineer is to model raw data into clean, tested, and reusable datasets. It is a big plus if your future analytics engineer has hands-on experience with tools for building data pipelines.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JULY 27, 2021

Data engineers and data scientists work very closely together, but there are some differences in their roles and responsibilities. Data Engineer Data scientist The primary role is to design and implement highly maintainable database management systems. What is the best way to capture streaming data in Azure?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40