Analytics Vidhya

JUNE 6, 2022

Wouldn’t the process be much easier if the raw data were more organized and clean? Here’s when Data […]. The post What are Schemas in Data Warehouse Modeling? appeared first on Analytics Vidhya. It’s possible, of course, but it can be tiresome and not be as accurate as it should be.

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Data Warehouse Data Science Analytics Analytics 370

Analytics Vidhya

OCTOBER 28, 2022

Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better? appeared first on Analytics Vidhya. We can use it to represent facts, figures, and other information that we can use to make decisions.

Data Warehouse 373

Data Warehouse Data Lakes Data Science Analytics 373

Analytics Vidhya

SEPTEMBER 28, 2022

DHW, short for Data Warehouse, was presented first by great IBM researchers Barry Devlin and Paul […]. The post Data Warehouse for the Beginners! appeared first on Analytics Vidhya. IBM is one name that easily enters the picture whenever long history in computer science is involved.

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Data Warehouse Computer Science Computer Science Data Science 319

Analytics Vidhya

OCTOBER 21, 2020

Overview Understand the meaning of data lake and data warehouse We will see what are the key differences between Data Warehouse and Data Lake. The post What are the differences between Data Lake and Data Warehouse? appeared first on Analytics Vidhya.

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Data Lakes Data Warehouse Analytics Analytics 337

Analytics Vidhya

JUNE 11, 2022

Introduction on Snowflake Architecture This article helps to focus on an in-depth understanding of Snowflake architecture, how it stores and manages data, as well as its conceptual fragmentation concepts. The post Snowflake Architecture & Key Concepts for Data Warehouse appeared first on Analytics Vidhya.

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Data Warehouse Data Science Analytics Analytics 345

Analytics Vidhya

AUGUST 5, 2022

Introduction to Data Warehouse In today’s data-driven age, a large amount of data gets generated daily from various sources such as emails, e-commerce websites, healthcare, supply chain and logistics, transaction processing systems, etc. It is difficult to store, maintain and keep track of […].

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Data Warehouse Data Science Analytics Analytics 318

Analytics Vidhya

JULY 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Data Warehouse is Built by combining data from multiple. The post A Brief Introduction to the Concept of Data Warehouse appeared first on Analytics Vidhya.

Data Warehouse 319

Data Warehouse Data Science Analytics Analytics 319

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Different components in the Hadoop Framework Introduction Hadoop is. The post HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK appeared first on Analytics Vidhya.

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Hadoop Data Warehouse Data Science Analytics 328

Analytics Vidhya

SEPTEMBER 28, 2022

Introduction to Data Warehouse SQL Data Warehouse is also a cloud-based data warehouse that uses Massively Parallel Processing (MPP) to run complex queries across petabytes of data rapidly. Use SQL Data Warehouse as a key part of your big data solution. Import big […].

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Data Warehouse Azure SQL Big Data 271

Analytics Vidhya

MAY 3, 2022

Introduction on Data Warehouses During one of the technical webinars, it was highlighted where the transactional database was rendered no-operational bringing day to day operations to a standstill. The post Understanding Key Concepts on Data Warehouses appeared first on Analytics Vidhya.

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Data Warehouse Data Science Database Analytics 291

Analytics Vidhya

SEPTEMBER 16, 2024

A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema? appeared first on Analytics Vidhya. This star-like structure simplifies complex queries, enhances performance, and is ideal for large datasets requiring fast retrieval and simplified joins.

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Data Warehouse Business Intelligence Business Intelligence Database 291

Analytics Vidhya

JULY 29, 2022

Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […].

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Azure Data Warehouse Data Lakes Analytics 398

Analytics Vidhya

APRIL 25, 2022

Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system. The post AWS Redshift: Cloud Data Warehouse Service appeared first on Analytics Vidhya. The datasets range in size from a few 100 megabytes to a petabyte. […].

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Data Warehouse Cloud Data AWS Clustering 291

Analytics Vidhya

JULY 10, 2022

In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for analytics and advanced analytics. The post Data Modelling Techniques in Modern Data Warehouse appeared first on Analytics Vidhya.

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Data Warehouse Data Modeling Data Models Data Science 271

Analytics Vidhya

FEBRUARY 21, 2023

This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analytics Vidhya.

Data Warehouse 290

Data Warehouse Analytics Analytics Azure 290

Analytics Vidhya

FEBRUARY 2, 2023

Organizations can collect millions of data, but if they’re lacking in storing that data, those efforts […] The post A Comprehensive Guide to Data Lake vs. Data Warehouse appeared first on Analytics Vidhya.

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Data Warehouse Data Lakes Analytics Analytics 289

Analytics Vidhya

APRIL 29, 2022

Different organizations make use of different databases like an oracle database storing transactional data, MySQL for storing product data, and many others for different tasks. storing the data […]. The post Beginners Guide to Data Warehouse Using Hive Query Language appeared first on Analytics Vidhya.

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Data Warehouse Database Data Science Analytics 267

insideBIGDATA

SEPTEMBER 18, 2024

Firebolt announced the next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains. Built across five years of relentless development, it reflects continuous feedback from users and real-world use cases.

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Data Warehouse Cloud Data Analytics Analytics 222

insideBIGDATA

APRIL 6, 2023

In this contributed article, data engineer Koushik Nandiraju discusses how a predictive data and analytics platform aligned with business objectives is no longer an option but a necessity.

Predictive Analytics 367

Predictive Analytics Analytics Analytics Data Warehouse 367

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.

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ETL Data Warehouse Analytics Analytics 139

Analytics Vidhya

JUNE 20, 2022

Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data. A big Query data warehouse provides global availability of data, can be easily connected to the other Google Services and […].

Data Warehouse 393

Data Warehouse Data Science Analytics Analytics 393

Data Science Dojo

JANUARY 12, 2023

When it comes to data, there are two main types: data lakes and data warehouses. What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Which one is right for your business?

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Data Lakes Data Warehouse Hadoop Machine Learning 221

Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

Data Warehouse 259

Data Warehouse Azure SQL Database 259

AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it cost-effective to efficiently analyze all your data using your existing business intelligence tools. Amazon QuickSight powers data-driven organizations with unified (BI) at hyperscale. A SageMaker domain.

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Data Warehouse Machine Learning Machine Learning Cloud Data 113

Analytics Vidhya

SEPTEMBER 27, 2022

Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […]. The post Data Warehousing with Snowflake and Other Alternatives appeared first on Analytics Vidhya.

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Data Warehouse Data Science Analytics Analytics 397

Analytics Vidhya

DECEMBER 13, 2022

Introduction Source – pexels.com Are you struggling to manage and analyze large amounts of data? Are you looking for a cost-effective and scalable solution for your data warehouse needs? AWS Redshift is a fully managed, petabyte-scale data warehouse […]. Look no further than AWS Redshift.

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AWS Data Warehouse Data Science Analytics 329

Analytics Vidhya

JANUARY 6, 2022

INTRODUCTION Hive is one of the most popular data warehouse systems in the industry for data storage, and to store this data Hive uses tables. By default, it is /user/hive/warehouse directory. The post HIVE: INTERNAL AND EXTERNAL TABLES appeared first on Analytics Vidhya. For instance, […].

Data Warehouse 364

Data Warehouse Database Analytics Analytics 364

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

Data Engineering 344

Data Engineering Data Engineering Data Engineer Data Engineering 344

Hacker News

DECEMBER 4, 2024

We are excited to release Crunchy Data Warehouse, a modern data warehouse for Postgres. Crunchy Data Warehouse combines Postgres with Iceberg, Parquet, and data lake formats for fast analytics queries and cost efficient storage.

Data Warehouse 117

Data Warehouse Analytics Analytics Data Lakes 117

Analytics Vidhya

JUNE 13, 2022

Introduction on ETL Pipeline ETL pipelines are a set of processes used to transfer data from one or more sources to a database, like a data warehouse. Extraction, transformation, and loading are three interdependent procedures used to pull data from one database and place […].

ETL 361

ETL Data Warehouse Database Data Science 361

Analytics Vidhya

JANUARY 11, 2023

Introduction Amazon Elastic MapReduce (EMR) is a fully managed service that makes it easy to process large amounts of data using the popular open-source framework Apache Hadoop. EMR enables you to run petabyte-scale data warehouses and analytics workloads using the Apache Spark, Presto, and Hadoop ecosystems.

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Apache Hadoop Hadoop Data Warehouse Analytics 337

Analytics Vidhya

MARCH 27, 2024

It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse. We will explore how data […] The post Data Modeling Demystified: Crafting Efficient Databases for Business Insights appeared first on Analytics Vidhya.

Data Modeling 306

Data Modeling Data Models Database Data Warehouse 306

Pickl AI

DECEMBER 15, 2024

Summary : This guide provides an in-depth look at the top data warehouse interview questions and answers essential for candidates in 2025. Covering key concepts, techniques, and best practices, it equips you with the knowledge needed to excel in interviews and demonstrates your expertise in data warehousing.

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Data Warehouse ETL Database Data Quality 52

Analytics Vidhya

OCTOBER 28, 2021

The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […].

Apache Hadoop 349

Apache Hadoop Data Warehouse Hadoop SQL 349

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Data Warehouse.

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Data Lakes Data Warehouse Big Data Big Data 135

Analytics Vidhya

JULY 1, 2024

SQL plays a significant role including analyzing complex data, creating data pipelines, and efficiently managing data warehouses. appeared first on Analytics Vidhya. However, writing optimized SQL queries can often […] The post How to Build a SQL Agent with CrewAI and Composio?

SQL 316

SQL Data Warehouse Data Pipeline Database 316

Dataversity

DECEMBER 18, 2023

Analytics at the core is using data to derive insights for measuring and improving business performance [1]. To enable effective management, governance, and utilization of data and analytics, an increasing number of enterprises today are looking at deploying the data catalog, semantic layer, and data warehouse.

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Data Warehouse Analytics Analytics 119