Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Create dbt models in dbt Cloud.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them. Ensure that data is clean, consistent, and up-to-date.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Blog

JUNE 27, 2023

In this representation, there is a separate store for events within the speed layer and another store for data loaded during batch processing. The serving layer acts as a mediator, enabling subsequent applications to access the data. This architectural concept relies on event streaming as the core element of data delivery.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

APRIL 29, 2020

Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. Extraction, Transform, Load (ETL). Private cloud deployments are also possible with Azure.

Data Warehouse 98

Data Warehouse Azure SQL ETL 98

phData

APRIL 29, 2024

Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. A common use case in healthcare for this connector type is ingesting data from external providers and vendors that deliver flat files.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

phData

SEPTEMBER 27, 2024

Using cloud data services can be nerve-wracking for some companies. Yes, it’s cheaper, faster, and more efficient than keeping your data on-premises, but you’re at the provider’s mercy regarding your available data. Query Resiliency Snowflake uses virtual warehouses for compute execution in one availability zone.

Cloud Data 52

Cloud Data Database ETL Data Visualization 52