AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The scope should contain inputs and data points on the current architecture as well as the target architecture.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration.

Analytics 98

Analytics IT Data Lake Visualization 98

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. We think of this concept as inside-out data movement. Example Corp.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

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 94

Data Warehouse Data-driven Machine Learning B2B 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 95

Data Warehouse Analytics Metrics Snapshot 95

AWS Big Data

APRIL 3, 2024

Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. Customers are using AWS and Snowflake to develop purpose-built data architectures that provide the performance required for modern analytics and artificial intelligence (AI) use cases.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

Paul Turley

MARCH 29, 2024

Over 4,000 attendees saw a lot of demos showing how to effortlessly build a modern data platform with petabytes of data in One Lake, and then ask CoPilot to generate beautiful Power BI reports from semantic models that magically appear from data in a Fabric Lakehouse.

Reporting 77

Reporting Modeling Enterprise Analytics 77

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 107

Data Warehouse Testing Data Quality Reporting 107

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Data Quality 140

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. Amazon Redshift now supports custom URLs or custom domain names for your data warehouse.

Data Warehouse 105

Data Warehouse Management Software Strategy 105

Laminar Security

JULY 19, 2023

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 97

Management Data Warehouse Metrics Dashboards 97

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. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless.

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

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 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

CIO Business Intelligence

DECEMBER 13, 2023

The group develops and acquires industrial companies in selected niche markets, including just over 200 companies in six different business areas with a focus on, among other things, technical components and industrial process solutions. An example of that is a data warehouse in Azure we brought in and offer as a service.

IT 104

IT Unstructured Data Cost-Benefit Data Warehouse 104

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

AWS Big Data

DECEMBER 5, 2023

Public data sources aren’t sufficient for building a true understanding of digital inclusion needs. To fill in the gaps in existing data, HR&A creates digital equity surveys to build a more complete picture before developing digital equity plans. Which households don’t have access to the internet at home? Where do they live?

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Optionally, have different AWS Key Management Service (AWS KMS) keys for credentials encryption with Secrets Manager.

Snapshot 86

Snapshot Management Data Warehouse Dashboards 86

CIO Business Intelligence

JULY 18, 2022

As a result, technology solutions, standards, and versions vary across the member food banks. They can decide what and how they utilize our services. For many food banks, we provide those technology services.”. Byrdak and team have also implementing a new CRM system for the national office.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

AWS Big Data

JUNE 2, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. This pre-built solution scales to load data in parallel using input parameters.

Metadata 113

Metadata Data Warehouse Big Data Testing 113

AWS Big Data

DECEMBER 13, 2023

Data loses value over time. Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. Batch load can run once or several times a day.

Data Warehouse 100

Data Warehouse Snapshot Data Processing Management 100

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 115

Analytics IoT Data-driven Snapshot 115

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

CIO Business Intelligence

JANUARY 8, 2024

Cloud optimization is the new initiative in 2024,” says Rajeev Nair, general manager of IT infrastructure and security at Cathay, a major airliner and cargo carrier in the Asia-Pacific region, with headquarters in Hong Kong. Enhanced automation and self-service will also be emphasized as part of the cloud optimization strategy, Nair says.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. View Amazon Forecast pricing for details.

Forecasting 87

Forecasting Data Warehouse Machine Learning Modeling 87

CIO Business Intelligence

OCTOBER 13, 2022

Any vertical modernization approach should balance in-depth, vertical sector expertise with a solutions-based methodology that caters to specific business needs. With the right industry solution and implementation partner in place, organizations can steer towards effective modernization. AWS/IBM’s Industry Edge.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. One of the most lucrative ways to do this is through data warehousing.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3).

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

IBM Big Data Hub

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. We also have a new release of AIX — AIX 7.3 Let’s dig in to some specifics. In the latest IBM i Technology Refresh — IBM i 7.5

Strategy 96

Strategy Cost-Benefit Data-driven Digital Transformation 96

CIO Business Intelligence

FEBRUARY 17, 2023

In fact, the 150-year-old OEM used the business slowdown to develop its digital transformation strategy to reinvent itself internally and grow the internal value of the company, as well as the external value it provides its customers, says Mike Lee, senior vice president and CIO of Konica Minolta Business Solutions USA.

Digital Transformation 105

Digital Transformation IoT Manufacturing Sales 105

IBM Big Data Hub

NOVEMBER 27, 2023

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. The watsonx.governance toolkit and watsonx.ai

Consulting 75

Consulting Software Optimization Metrics 75

Smart Data Collective

JUNE 30, 2022

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. This is particularly true with logistics processes.

Analytics 110

Analytics Cost-Benefit Analytics Technologies Big Data 110

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 82

Insurance Data Warehouse Data-driven Unstructured Data 82

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. We assume that you have a good understanding of your data and the problem type that is most applicable for your use case, and have created and deployed models to production.

Modeling 100

Modeling Data Warehouse Machine Learning Recreation/Entertainment 100