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 […].

Data Lake 398

Data Lake Data Warehouse Analytics Data Science 398

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

David Menninger's Analyst Perspectives

DECEMBER 29, 2022

The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence.

Business Intelligence 196

Business Intelligence Analytics Data Warehouse Software 196

David Menninger's Analyst Perspectives

OCTOBER 5, 2021

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data.

Analytics 274

Analytics Data Warehouse Software Modeling 274

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

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.

Data Warehouse 88

Data Warehouse Measurement Reporting Testing 88

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. times better price-performance than other cloud data warehouses.

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

Data Virtualization

OCTOBER 18, 2022

The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

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. higher cost.

Data Warehouse 91

Data Warehouse Cost-Benefit Consulting Interactive 91

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. The cloud. .

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Corinium

MAY 27, 2019

By 2023, worldwide revenue for big data solutions will reach $260 billion.* Download our new 3 Benefits of a Self-Adapting Data Warehouse ebook to learn how analytics leaders leverage technology shorten time to value for their data. Anticipate patterns more accurately and optimize queries.

Data Warehouse 150

Data Warehouse Machine Learning Big Data Optimization 150

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 296

Data Warehouse Machine Learning Big Data Management 296

Cloudera

MARCH 2, 2022

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Analytical SQL workloads use aggregates and joins heavily. Hence, optimizing such operators for both performance and efficiency in analytical engines like Impala can be very beneficial.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

Analytics Vidhya

FEBRUARY 1, 2023

Introduction Nowadays, organizations are looking for multiple solutions to deal with big data and related challenges. If you’re preparing for the Snowflake interview, […] The post A Comprehensive Guide Of Snowflake Interview Questions appeared first on Analytics Vidhya.

Data Warehouse 293

Data Warehouse Big Data Analytics IT 293

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 Warehouse 329

Data Warehouse Data Science Publishing Enterprise 329

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes.

Analytics 160

Analytics Data Warehouse Business Intelligence Software 160

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? Today, we are pleased to announce the general availability of HPL/SQL integration in CDW public cloud.

Data Warehouse 115

Data Warehouse Data Processing Management Testing 115

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Jet Global

OCTOBER 19, 2020

For customers upgrading from Microsoft Dynamics GP or Microsoft Dynamics NAV, Business Central provides an efficient cloud-based ERP platform for growth. To get the maximum benefit from the new system and to preserve seamless visibility to historical data, customers should consider deploying a data warehouse.

Data Warehouse 98

Data Warehouse Analytics Reporting Testing 98

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. But what are the right measures to make the data warehouse and BI fit for the future? The following insights came from a global BARC survey into the current status of data warehouse modernization.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. So, let go of any old OLTP design.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. In this way, the analytic applications are able to turn the latest data into instant business insights. Cost-Effective. CDW Auto-Scaling Options.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

Analytics Vidhya

NOVEMBER 19, 2022

Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […]. The post Advantages of Using Cloud Data Platform Snowflake appeared first on Analytics Vidhya.

Data Science 315

Data Science Publishing Analytics Data Warehouse 315

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Benchmark Configuration.

Data Warehouse 116

Data Warehouse Metadata Data-driven Machine Learning 116

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

Data Warehouse 84

Data Warehouse Data Processing Data Lake Management 84

Analytics Vidhya

FEBRUARY 8, 2023

It allows users to easily set up, operate, and scale a data warehouse in the cloud. Redshift uses columnar storage techniques to store data efficiently and supports data warehousing workloads intelligence, reporting, and analytics.

Data Warehouse 294

Data Warehouse Reporting Management Analytics 294

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 Modeling Data Warehouse Analytics 270

Analytics Vidhya

MARCH 24, 2023

Docker is still considered one of the top tools for creating containers by building Images between containerization platforms or cloud platforms.

Data Processing 300

Data Processing Software Analytics IT 300

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79