Hevo

SEPTEMBER 4, 2024

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data will be stored in the global cloud by 2025.

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Data Warehouse Structured Data Data Cloud 72

Seattle Data Guy

JANUARY 12, 2023

A data warehouse consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. But in order to understand why you need a data warehouse consultant we should take a step back.

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Consulting Data Warehouse Data Designing 130

Towards Data Science

JANUARY 28, 2024

How I organize everything in my new data warehouse Continue reading on Towards Data Science »

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Data Warehouse Designing Data Science Data 65

Monte Carlo

SEPTEMBER 10, 2024

This truth was hammered home recently when ride-hailing giant Uber found itself on the receiving end of a staggering €290 million ($324 million) fine from the Dutch Data Protection Authority. Poor data warehouse governance practices that led to the improper handling of sensitive European driver data. The reason?

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Data Warehouse Government Data Governance Metadata 52

Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages.

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Data Warehouse Big Data Unstructured Data Hadoop 52

Seattle Data Guy

AUGUST 2, 2023

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning.

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Data Lake Data Warehouse Data Machine Learning 130

Start Data Engineering

AUGUST 17, 2021

Batch Data Pipelines 1.1 Process => Data Warehouse 1.2 Process => Cloud Storage => Data Warehouse 2. Near Real-Time Data pipelines 2.1 Data Stream => Consumer => Data Warehouse 2.2

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Data Warehouse Cloud Storage Data Pipeline Data 130

Start Data Engineering

APRIL 12, 2022

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week.

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Data Lake Data Warehouse Data 130

Hevo

OCTOBER 2, 2024

Data warehouses have transformed how companies store and manage data. By centralizing data into a single repository, overall data accessibility and quality improve a lot. Building an […]

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Data Warehouse Data Accessible Accessibility 52

Hevo

MAY 17, 2024

Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture that allows users to independently query data using SQL.

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Data Warehouse Data Lake Structured Data SQL 52

Data Engineering Podcast

MARCH 10, 2023

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. You can collect, transform, and route data across your entire stack with its event streaming, ETL, and reverse ETL pipelines.

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Data Warehouse Data Lake Machine Learning Data Science 130

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

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Data Lake Data Warehouse Data Storage Data 131

KDnuggets

MAY 17, 2022

Is the data warehouse broken? Is the "immutable data warehouse" the right path for your data team? Learn more here.

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Data Warehouse Data Data Science 112

Precisely

MARCH 9, 2023

Data warehouse vs. data lake, each has their own unique advantages and disadvantages; it’s helpful to understand their similarities and differences. In this article, we’ll focus on a data lake vs. data warehouse. Read Many of the preferred platforms for analytics fall into one of these two categories.

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Data Lake Data Warehouse Hadoop Raw Data 59

Hevo

SEPTEMBER 25, 2024

The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. High-quality data ensures that organizations make data-driven decisions to […]

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Data Warehouse High Quality Data Datasets Data 40

Hevo

JULY 30, 2024

Data warehouses bring phenomenal results from well-informed, data-driven decision-making for an organization. There were times when only companies with large capital, and substantial IT infrastructures invested time and effort, let alone money, in a data warehouse.

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Data Warehouse Data IT 40

Data Engineering Podcast

MAY 13, 2021

Summary There is a lot of attention on the database market and cloud data warehouses. While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. Firebolt is the fastest cloud data warehouse. Visit dataengineeringpodcast.com/firebolt to get started.

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PostgreSQL Data Warehouse Building MySQL 100

Hevo

SEPTEMBER 4, 2024

Currently, data management is a continually developing field that requires careful consideration when deciding which solution should be implemented to store, process, and analyze data effectively. There are two forms that are frequently selected: data warehouse vs data lake.

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Data Lake Data Warehouse Data Data Management 40

Towards Data Science

JUNE 6, 2023

The fact it’s insanely fast and does (mostly) all processing in memory make it a good choice for building my personal data warehouse. Fitbit activity data The first collection of files I looked at was activity data. Extra points for its seamless integration with Python and R.

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Data Warehouse Data SQL Data Analysis 89

Seattle Data Guy

DECEMBER 19, 2022

Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data.

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Data Lake Data Warehouse Database Data Storage 130

KDnuggets

SEPTEMBER 14, 2022

So where can you store, harness and collect findings in your data - in one place? Data Warehouses. What is the right tool for this?

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Data Warehouse Data Data Science 88

Cloudera

JULY 11, 2023

Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor. To know more about Cloudera Data Warehouse please click here. The post Integrating Cloudera Data Warehouse with Kudu Clusters appeared first on Cloudera Blog.

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Data Warehouse Pharmaceutical BI Banking 70

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

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Data Lake Data Warehouse Cloud Unstructured Data 94

Monte Carlo

AUGUST 6, 2024

Data warehouses are the centralized repositories that store and manage data from various sources. They are integral to an organization’s data strategy, ensuring data accessibility, accuracy, and utility. However, beneath their surface lies a host of invisible risks embedded within the data warehouse layers.

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Data Warehouse Raw Data BI Machine Learning 52

Monte Carlo

FEBRUARY 6, 2023

So, you’re planning a cloud data warehouse migration. But be warned, a warehouse migration isn’t for the faint of heart. As you probably already know if you’re reading this, a data warehouse migration is the process of moving data from one warehouse to another. A worthy quest to be sure.

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Data Warehouse AWS Data Validation Data 52

Hevo

AUGUST 29, 2024

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their data management and analytics capabilities.

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Hevo

AUGUST 29, 2024

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their data management and analytics capabilities.

Data Warehouse 40

Data Warehouse Cloud Data Lake Database 40

Start Data Engineering

JULY 18, 2020

Given Source database connection details (endpoint, port, username, password and database name) Source table to replicate destination schema name run frequency can be set to 10min We are assuming the destination data warehouse is already setup in stitch. Steps Log into your stitch account.

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Data Warehouse Database PostgreSQL Data 100

Hevo

SEPTEMBER 10, 2024

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management architectures, but they are designed to support different needs and various organizational structures.

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Data Warehouse Architecture Data Architecture Data 52

Data Engineering Podcast

FEBRUARY 8, 2021

In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Data Engineering Podcast

JANUARY 1, 2022

In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. star/snowflake schema, data vault, etc.) star/snowflake schema, data vault, etc.)

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineering 100

Cloudera

JULY 16, 2021

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? The Data Warehouse on Cloudera Data Platform provides easy to use self-service and advanced analytics use cases at scale.

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Data Warehouse SQL PostgreSQL MySQL 119

KDnuggets

DECEMBER 1, 2021

ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.

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Data Warehouse Data Process Management 95

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen.

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Data Warehouse Cloud AWS Relational Database 100

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse.

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Data Warehouse Metadata Algorithm Data 83

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

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Data Warehouse Cloud Government Metadata 90

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

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Data Warehouse Cloud Consulting SQL 96