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 80

Data Warehouse Analytics Metadata Dashboards 80

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 106

Data Lake Data Warehouse Unstructured Data Big Data 106

AWS Big Data

FEBRUARY 24, 2023

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. A data lake built on AWS uses Amazon Simple Storage Service (Amazon S3) as its primary storage environment.

Data Lake 79

Data Lake Metadata Testing Data Warehouse 79

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. To create custom reports for your cost and usage data, complete the following steps: On the AWS Cost Management console, choose Reports in the navigation pane. Choose Create new report.

Data Warehouse 81

Data Warehouse Management Snapshot Data Lake 81

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. 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.

Data Warehouse 70

Data Warehouse Cost-Benefit Metadata Management 70

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

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 94

Data Lake Data Warehouse Business Intelligence Analytics 94

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 88

Data Warehouse Analytics Metrics Snapshot 88

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 119

Data Warehouse Dashboards Risk Management Risk 119

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times lower cost per user and up to 7.9 times better price-performance than other cloud data warehouses.

Data Warehouse 95

Data Warehouse Analytics Cost-Benefit Modeling 95

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 175

Analytics Data Warehouse Business Intelligence Software 175

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us.

Data Warehouse 90

Data Warehouse Experimentation Cost-Benefit Dashboards 90

Analytics Vidhya

APRIL 3, 2023

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.

Dashboards 304

Dashboards Visualization Analytics Data Warehouse 304

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples.

Data Warehouse 44

Data Warehouse Unstructured Data Internet of Things Enterprise 44

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lake 282

Data Lake Business Intelligence Enterprise Analytics 282

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. Why Use an Interactive Analytics Application?

Interactive 115

Interactive Unstructured Data Analytics Data Warehouse 115

CIO Business Intelligence

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

DECEMBER 13, 2023

Data loses value over time. We hear from our customers that they’d like to analyze the business transactions in real time. Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. Batch load can run once or several times a day.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

CIO Business Intelligence

MARCH 26, 2024

At the same time, Huawei’s all-flash storage will continue to support its financial customers. Cao elaborated that it taps into large artificial intelligence (AI) models to visualise correlations as well as changes to networks, traffic and applications in real time. Huawei believes in two lines of defense against this threat.

Strategy 59

Strategy Uncertainty Finance Digital Transformation 59

O'Reilly on Data

AUGUST 18, 2020

So you need to redesign your company’s data infrastructure. That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. The Two Cultures of Data Tooling. A little of both?

Data Science 355

Data Science Machine Learning Data Warehouse Deep Learning 355

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

CIO Business Intelligence

JULY 18, 2022

But at the same time, we also purchase food. Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 108

Data Warehouse Cost-Benefit Sales Data-driven 108

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. Let us explain.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. For this reason, Snowflake is often the cloud-native data warehouse of choice.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

AWS Big Data

MARCH 27, 2024

This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

CIO Business Intelligence

OCTOBER 19, 2023

By the time you finish reading this post, an additional 27.3 million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Boris Evelson

DECEMBER 8, 2022

For years clients have been reaching out with the following question: If a significant portion of all my enterprise data comes from SAP or Oracle business applications (ERP, CRM, etc.), Dear Salesforce, haven’t I been a good, objective, reasonable, helpful industry analyst? Why would you make my life more difficult?

Data Warehouse 52

Data Warehouse Enterprise Analytics Business Intelligence 52

CIO Business Intelligence

APRIL 25, 2022

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. They require specific data inputs, models, algorithms and they deliver very specific recommendations.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110