Analytics Vidhya

OCTOBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data is defined as information that has been organized in a meaningful way. Data collection is critical for businesses to make informed decisions, understand customers’ […]. The post Data Lake or Data Warehouse- Which is Better?

Data Warehouse 373

Data Warehouse Data Lakes Data Science Analytics 373

Analytics Vidhya

SEPTEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction The concept of data warehousing dates to the 1980s. DHW, short for Data Warehouse, was presented first by great IBM researchers Barry Devlin and Paul […]. The post Data Warehouse for the Beginners!

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Data Warehouse Computer Science Computer Science Data Science 319

Analytics Vidhya

JUNE 11, 2022

This article was published as a part of the Data Science Blogathon. 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.

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Data Warehouse Data Science Analytics Analytics 345

insideBIGDATA

JUNE 23, 2023

In this contributed article, Jason Davis, Ph.D. CEO and co-founder of Simon Data, believes that when companies try to pull together all the data streams in a warehouse, they can run into several challenges that make it hard to get a comprehensive picture and create effective personalization.

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Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. 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.

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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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Analytics Vidhya

SEPTEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. 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. Import big […].

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Data Warehouse Azure SQL Big Data 271

Analytics Vidhya

MAY 3, 2022

This article was published as a part of the Data Science Blogathon. 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.

Data Warehouse 291

Data Warehouse Data Science Database Analytics 291

Analytics Vidhya

APRIL 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Amazon’s Redshift Database is a cloud-based large data warehousing solution. Companies may store petabytes of data in easy-to-access “clusters” that can be searched in parallel using the platform’s storage system.

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Data Warehouse Cloud Data AWS Clustering 291

Analytics Vidhya

JULY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello, data-enthusiast! 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.

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Data Warehouse Data Modeling Data Models Data Science 271

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how big IT giants store and process huge amounts of data? storing the data […]. storing the data […].

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Data Warehouse Database Data Science Analytics 267

insideBIGDATA

JUNE 30, 2023

In this contributed article, Chris Tweten, Marketing Representative of AirOps, discusses how data warehouse best practices give digital businesses a solid foundation for building a streamlined data management system. Here’s what you need to know.

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Data Warehouse Cloud Data Big Data Big Data 243

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 221

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data.

Data Warehouse 393

Data Warehouse Data Science Analytics Analytics 393

Dataconomy

MAY 25, 2022

Preventing cloud data warehouse failure is possible through proper integration. Utilizing your data is key to success. That message is echoed by every business and technology pundit working today, every C-level executive, every Board member – and even every article like this one.

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Data Warehouse Cloud Data Data Science AI 201

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. 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 […].

Data Warehouse 397

Data Warehouse Data Science Analytics Analytics 397

Analytics Vidhya

DECEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. 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? Look no further than AWS Redshift.

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AWS Data Warehouse Data Science Analytics 329

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 […].

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Data Engineering Data Engineering Data Engineer Data Engineering 344

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

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Analytics Vidhya

JUNE 13, 2022

This article was published as a part of the Data Science Blogathon. 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.

ETL 361

ETL Data Warehouse Database Data Science 361

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis.

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Analytics Vidhya

JULY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Organizations with a separate transactional database and data warehouse typically have many data engineering activities. For example, they extract, transform and load data from various sources into their data warehouse.

ETL 291

ETL Data Warehouse Data Engineering Data Engineering 291

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. Key Differences.

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Data Lakes Data Warehouse ETL Data Scientist 140

Analytics Vidhya

FEBRUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Hive is a data warehouse system built on top of Hadoop which gives the user the flexibility to write complex MapReduce programs in form of SQL- like queries.

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Hadoop Data Warehouse SQL Data Science 333

insideBIGDATA

APRIL 22, 2024

In this contributed article, Sida Shen, product marketing manager, CelerData, discusses how data lakehouse architectures promise the combined strengths of data lakes and data warehouses, but one question arises: why do we still find the need to transfer data from these lakehouses to proprietary data warehouses?

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Data Warehouse Data Lakes Big Data Big Data 221

Analytics Vidhya

OCTOBER 4, 2021

This article was published as a part of the Data Science Blogathon Image 1 What is data mining? Data mining is the process of finding interesting patterns and knowledge from large amounts of data. This analysis […].

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Analytics Vidhya

MARCH 27, 2024

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse.

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Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon What is ETL? ETL is a process that extracts data from multiple source systems, changes it (through calculations, concatenations, and so on), and then puts it into the Data Warehouse system. ETL stands for Extract, Transform, and Load.

ETL 291

ETL Data Warehouse Data Science Analytics 291

Analytics Vidhya

JUNE 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master.

Data Warehouse 271

Data Warehouse Hadoop Data Engineering Data Engineering 271

Analytics Vidhya

SEPTEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage.

Data Warehouse 271

Data Warehouse Data Science Database Analytics 271

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

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Data Warehouse Data Lakes Data Governance Data Quality 98

Analytics Vidhya

JUNE 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Amazon Redshift is a data warehouse service in the cloud. The post Understand All About Amazon Redshift! appeared first on Analytics Vidhya.

Data Warehouse 243

Data Warehouse Data Science Analytics Analytics 243

insideBIGDATA

JULY 1, 2024

In this contributed article, Adrian Kunzle, Chief Technology Officer at Own Company, discusses strategies around using historical data to understand their businesses better and fill gaps are often overlooked.

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Dataversity

DECEMBER 18, 2023

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

Analytics Vidhya

DECEMBER 28, 2022

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction If you are familiar with databases, or data warehouses, you have probably heard the term “ETL.” As the amount of data at organizations grow, making use of that data in analytics to derive business insights grows as well.

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ETL AWS Data Warehouse Data Science 218