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.

ETL 137

ETL Data Warehouse Analytics Analytics 137

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

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

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. Basic knowledge of a SQL query editor.

Data Warehouse 120

Data Warehouse Machine Learning Machine Learning Cloud Data 120

Analytics Vidhya

APRIL 1, 2023

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

Data Warehouse 306

Data Warehouse SQL Big Data Big Data 306

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?

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Analytics Vidhya

FEBRUARY 27, 2023

So, we are […] The post How to Normalize Relational Databases With SQL Code? appeared first on Analytics Vidhya. If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading.

Database 319

Database SQL Data Science Analytics 319

Analytics Vidhya

FEBRUARY 20, 2022

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. The post Performance Tuning Practices in Hive appeared first on Analytics Vidhya.

Hadoop 333

Hadoop Data Warehouse SQL Data Science 333

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

Analytics Vidhya

JUNE 28, 2022

. “Preponderance data opens doorways to complex and Avant analytics.” ” Introduction to SQL Queries Data is the premium product of the 21st century. The post Dynamic SQL Queries to Transform Data appeared first on Analytics Vidhya.

SQL 270

SQL Data Science Analytics Analytics 270

Analytics Vidhya

MARCH 14, 2023

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.

SQL 271

SQL Database Analytics Analytics 271

Data Science Dojo

FEBRUARY 1, 2023

Introduction Dedicated SQL pools offer fast and reliable data import and analysis, allowing businesses to access accurate insights while optimizing performance and reducing costs. DWUs (Data Warehouse Units) can customize resources and optimize performance and costs.

Azure 195

Azure SQL Analytics Analytics 195

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 Engineer 344

Data Engineer Data Engineering Data Engineering Data Engineering 344

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.

Data Warehouse 52

Data Warehouse ETL Database Data Quality 52

Data Science Blog

MAY 20, 2024

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.

Data Pipeline 262

Data Pipeline Data Warehouse Azure Data Lakes 262

Analytics Vidhya

JUNE 30, 2022

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. The post Partitioning and Bucketing in Hive appeared first on Analytics Vidhya.

Data Warehouse 271

Data Warehouse Hadoop Data Engineer Data Engineering 271

Analytics Vidhya

FEBRUARY 19, 2023

Introduction Google’s BigQuery is a powerful cloud-based data warehouse that provides fast, flexible, and cost-effective data storage and analysis capabilities. BigQuery was created to analyse data […] The post Building a Machine Learning Model in BigQuery appeared first on Analytics Vidhya.

Machine Learning 270

Machine Learning Machine Learning Data Warehouse Database 270

Data Science Dojo

SEPTEMBER 11, 2024

Microsoft Fabric aims to reduce unnecessary data replication, centralize storage, and create a unified environment with its unique data fabric method. Microsoft Fabric is a cutting-edge analytics platform that helps data experts and companies work together on data projects. What is Microsoft Fabric?

Power BI 337

Power BI Data Pipeline Data Warehouse Data Engineering 337

Dataconomy

MAY 27, 2024

The main solutions on the market are decentralized file storage networks (DSFN) like Filecoin and Arweave, and decentralized data warehouses like Space and Time (SxT). Built to seamlessly integrate with existing enterprise systems, the data warehouse lets businesses tap into blockchain data while publishing query results back on-chain.

Data Warehouse 213

Data Warehouse Database SQL Analytics 213

Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Data Science Dojo

MARCH 27, 2025

Thats where data normalization comes in. Its a structured process that organizes data to reduce redundancy and improve efficiency. Whether you’re working with relational databases, data warehouses , or machine learning pipelines, normalization helps maintain clean, accurate, and optimized datasets. Simple, right?

Database 195

Database Data Warehouse Machine Learning Machine Learning 195

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

AWS 138

AWS Data Warehouse ETL SQL 138

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data Analytics 137

Big Data Analytics Big Data Analytics Big Data Big Data 137

AWS Machine Learning Blog

APRIL 16, 2024

In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

SQL 133

SQL AWS Database Data Scientist 133

Smart Data Collective

JUNE 16, 2022

This tool can be great for handing SQL queries and other data queries. Every data scientist needs to understand the benefits that this technology offers. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles.

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

Flipboard

DECEMBER 11, 2024

Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data.

SQL 159

SQL AWS Data Lakes AI 159

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 100

AWS Data Governance Data Silos SQL 100

Mlearning.ai

OCTOBER 22, 2023

dbt helps transform data in your warehouse all through SQL following software engineering best practices. Continue reading on MLearning.ai »

Data Warehouse 98

Data Warehouse SQL Data Engineer Data Engineering 98

Women in Big Data

NOVEMBER 27, 2024

A data warehouse is a centralized repository designed to store and manage vast amounts of structured and semi-structured data from multiple sources, facilitating efficient reporting and analysis. Begin by determining your data volume, variety, and the performance expectations for querying and reporting.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Analytics Vidhya

MARCH 10, 2023

Instead, it provides high-performance analytics, flexibility, and cost-effective scaling. Snowflake’s design is […] The post Top 6 Snowflake Interview Questions appeared first on Analytics Vidhya. It is intended to be a fully managed, multi-cloud solution that does not need clients to handle hardware or software.

Analytics 306

Analytics Analytics Data Warehouse Data Engineer 306

IBM Journey to AI blog

APRIL 24, 2023

Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions. By running reports on historical data, a data warehouse can clarify what systems and processes are working and what methods need improvement.

Data Warehouse 112

Data Warehouse Data Lakes Database Big Data 112

Analytics Vidhya

JANUARY 2, 2023

While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […]. The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya.

Data Engineer 329

Data Engineer Data Engineering Data Engineering Data Engineering 329

Dataconomy

SEPTEMBER 27, 2024

The global data analytics market is forecasted to increase by USD 234.4 To learn more about the trends of data analytics fields, their prospects, and their challenges, we talked to Aksinia Chumachenko, Product Analytics Team Lead at Simpals, Moldova’s leading digital company. billion from 2023 to 2028.

Analytics 113

Analytics Analytics Big Data Big Data 113

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

Dataconomy

JUNE 1, 2023

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52