Towards Data Science

NOVEMBER 4, 2023

This would be the right way to go for data analyst teams that are not familiar with coding. Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? There are many other tools with more specific applications, i.e. extracting data from web pages (PyQuery, BeautifulSoup, etc.)

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

dbt Developer Hub

NOVEMBER 22, 2022

The dbt docs suggest using seeds for “files that contain business-specific logic, for example, a list of country codes or user IDs of employees.” Below is a summary table highlighting the core benefits and drawbacks of certain ETL tooling options for getting spreadsheet data in your data warehouse.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. How Apache Kafka streams relate to Franz Kafka’s books. Large user community.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Meltano

OCTOBER 5, 2022

Their tasks include: Designing systems for collecting and storing data Testing various parts of the infrastructure to reduce errors and increase productivity Integrating data platforms with relevant tools Optimizing data pipelines Using automation to streamline data management processes Ensuring data security standards are met When it comes to skills (..)

Data Engineer 52

Data Engineer Data Engineering Engineering Raw Data 52

Ascend.io

AUGUST 31, 2023

Services like AWS Glue , Databricks , and Dataproc have powerful data lake capabilities, where code-heavy processes and agile workflows can transform data into many different forms. There are a range of tools dedicated to just the extraction (“E”) function to land data in any type of data warehouse or data lake.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

Edureka

JULY 3, 2024

Publish: Transformed data is then published either back to on-premises sources like SQL Server or kept in cloud storage. This makes the data ready for consumption by BI tools, analytics applications, or other systems. ADF can pass parameters from your ADF pipeline straight into your Databricks code.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake Machine Learning BI 64