Data Science Blog

MAY 20, 2024

It supports a holistic data model, allowing for rapid prototyping of various models. It also supports a wide range of data warehouses, analytical databases, data lakes, frontends, and pipelines/ETL. Data Lakes : It supports MS Azure Blob Storage. pipelines, Azure Data Bricks.

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Data Pipeline Data Warehouse Azure Data Lakes 262

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

phData

NOVEMBER 9, 2023

In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry. This data architecture aims to solve a lot of the problems that have plagued enterprises for years. What is a Data Lake? What is the Difference Between a Data Lake and a Data Warehouse?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

ODSC - Open Data Science

JUNE 12, 2023

Microsoft announced the public preview availability of Datamarts in May 2022. The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.

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Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

NOVEMBER 4, 2024

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million in 2022, is projected to grow at a CAGR of 18.15% , reaching USD 140,808.0

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Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

FEBRUARY 14, 2023

Qlik Replicate Qlik Replicate is a data integration tool that supports a wide range of source and target endpoints with configuration and automation capabilities that can give your organization easy, high-performance access to the latest and most accurate data. Replication of calculated values is not supported during Change Processing.

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Data Warehouse Azure AWS Database 59