AWS Big Data

JUNE 28, 2023

In this post, we provide step-by-step guidance on how to get started with near-real time operational analytics using this feature. There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

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 383

Data Warehouse Data Science Publishing Enterprise 383

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 82

Data Warehouse Analytics Metadata Dashboards 82

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. You can run and scale analytics in seconds on all your data, without having to manage your data warehouse infrastructure.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier. ETL can be challenging, time-consuming, and costly.

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. With real-time streaming data, organizations can reimagine what’s possible.

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

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 lower cost per user and up to 7.9 Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 108

Cost-Benefit Internet of Things Data-driven Data Lake 108

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. DataStax Real-time data and decisioning First, a few quick definitions.

Data Strategy 108

Data Strategy Strategy Machine Learning Data-driven 108

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.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

CIO Business Intelligence

APRIL 25, 2022

In an earlier article , I discussed three proven ingredients for a holistic data platform approach to managing and harnessing data – cloud-native technologies, real-time data, and open source software(OSS) – to drive business value. The challenge of data silos. Aligning data.

Data Architecture 93

Data Architecture Digital Transformation Data-driven Strategy 93

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

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Rocket-Powered Data Science

MARCH 20, 2023

It appears that it’s AI everywhere all the time. Plus, AI can also help find key insights encoded in data. And AI can help users find the appropriate data that they need from across the enterprise. This is where SAP Datasphere (the next generation of SAP Data Warehouse Cloud) comes in.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Jet Global

OCTOBER 19, 2020

As companies consider making the transition to this new platform, however, it’s important that they have a clear vision for reporting and analytics and that they understand how to get the most from their Microsoft Dynamics 365 Business Central (D365 BC) data. Dynamics Data Warehouses Made Easy.

Data Warehouse 98

Data Warehouse Analytics Reporting Testing 98

Jet Global

JULY 17, 2023

When your customers deliver analytics and reporting, the data visualization experience should be a memorable one. It’s the same with your analytics. Business environments are shifting so rapidly that disconnected analytics will only serve to present an inaccurate view of the past.

Visualization 52

Visualization Sales Reporting Analytics 52

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. With the right analytics approach, this is possible.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Jet Global

NOVEMBER 14, 2023

In today’s data-driven world, having accurate, timely insights into data is critical. When your operational and financial reporting teams are extracting and transforming Oracle E-Business Suite (EBS) data, it can be a complex, cumbersome task and they need a way to handle data that empowers them to overcome reporting obstacles.

Reporting 52

Reporting Finance Operational Reporting Dashboards 52

BI-Survey

AUGUST 21, 2020

However, data warehousing and BI applications are only considered moderately successful. Especially in times of rapidly changing markets, decision-support systems should promote the quickest possible knowledge growth. But what are the right measures to make the data warehouse and BI fit for the future?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

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

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Analytics Specialist based out of Northern Virginia, specialized in the design and implementation of analytics and data lake solutions. About the Authors Sandeep Bajwa is a Sr.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

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. Save time and eliminate unnecessary processes.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. Therefore, we must meet the scaling limits while querying the data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

AUGUST 9, 2023

You need to chase people for the data, then ensure it is accurate, before loading it into the system, only to find it riddled with discrepancies. You’ve approached your IT team for an in-house solution to be built, but they don’t have time and your request is left sitting at the bottom of their priority list.

Finance 52

Finance Reporting Management Enterprise 52

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. What is Real-Time Business Intelligence? This allows dashboards to show both real-time and historic data in a holistic way.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

AWS Big Data

FEBRUARY 24, 2023

AWS contributed the Apache Iceberg integration with the AWS Glue Data Catalog , which enables you to use open-source data computation engines like Apache Spark with Iceberg on AWS Glue. To create your data warehouse or data lake, you must catalog this data. In his spare time, he enjoys soccer.

Data Lake 82

Data Lake Metadata Testing Data Warehouse 82

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. hour (Engine:1 x c5d.4xlarge).

Interactive 113

Interactive Unstructured Data Analytics Data Warehouse 113

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. However, there is a challenge to ingest datasets, such as Internet of Things (IoT) and clickstreams, at a fast rate with near-real-time delivery SLAs. In this post, we aim to address these challenges.

Data Lake 79

Data Lake Data Analytics Analytics Data Processing 79

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. Low Maintenance.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

AWS Big Data

MARCH 21, 2024

In this post, we provide step-by-step guidance on how to get started with near real-time operational analytics using this feature. This post is a continuation of the zero-ETL series that started with Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

IBM Big Data Hub

NOVEMBER 22, 2019

His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations. Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with.

Data Lake 93

Data Lake Data Warehouse Business Intelligence Analytics 93

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Refer to Real-time analytics with Amazon Redshift streaming ingestion for information about configuring streaming ingestion. version cluster.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

AWS Big Data

MARCH 20, 2024

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 121

Data Warehouse Business Driver Data Lake Data-driven 121

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

FEBRUARY 7, 2023

Achieve your business goals with easy, immediate access to business-critical data. With this new version, Hubble makes sure the right data is at your fingertips so that your finance team can deliver timely, accurate information to senior stakeholders. Or watch the video here. Do these challenges sound familiar?

Reporting 52

Reporting Finance Forecasting Dashboards 52