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Accelerate Offloading to Cloudera Data Warehouse (CDW) with Procedural SQL Support

Cloudera

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? Today, we are pleased to announce the general availability of HPL/SQL integration in CDW public cloud.

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How to Normalize Relational Databases With SQL Code?

Analytics Vidhya

Introduction Data is the new oil in this century. The database is the major element of a data science project. So, we are […] The post How to Normalize Relational Databases With SQL Code? So, we are […] The post How to Normalize Relational Databases With SQL Code? appeared first on Analytics Vidhya.

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Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173
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Data News — Week 24.11

Christophe Blefari

With yato you give a folder with SQL queries and it guesses the DAG and runs the queries in the right order. Saying mainly that " Sora is a tool to extend creativity " Last point Mira has been mocked and criticised online because as a CTO she wasn't able to say on which public / licensed data Sora has been trained on.

Metadata 272
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Top 5 SQL Interview Questions With Implementation

Analytics Vidhya

This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases. Introduction In today’s world, technology has increased tremendously, and many people are using the internet.

SQL 202
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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Join in with the event for the global data community, Data Council Austin.

Data Lake 262
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How to get started with dbt

Christophe Blefari

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.