AWS Big Data

JANUARY 15, 2025

In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. To achieve this, EUROGATE designed an architecture that uses Amazon DataZone to publish specific digital twin data sets, enabling access to them with SageMaker in a separate AWS account.

IoT 101

IoT Machine Learning Metadata Data-driven 101

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 91

Visualization Data Processing Data-driven Cost-Benefit 91

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 88

Data Warehouse Sales Visualization Data Processing 88

AWS Big Data

NOVEMBER 17, 2023

For more information, refer SQL models. Seeds – These are CSV files in your dbt project (typically in your seeds directory), which dbt can load into your data warehouse using the dbt seed command. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them.

Snapshot 104

Snapshot Data Processing Testing Data Warehouse 104

Sisense

FEBRUARY 17, 2021

With more people becoming digital citizens, the ability for an application to explode in popularity has all but rendered obsolete the traditional IT hosting mindset of discrete servers performing discrete tasks. Let’s dig into three hosting models that help organizations achieve cloud flexibility.

Data Processing 52

Data Processing Modeling Technology IT 52

AWS Big Data

DECEMBER 4, 2024

In this regard, the enterprise data product catalog acts as a federated portal, facilitating cross-domain access and interoperability while maintaining alignment with governance principles. This model balances node or domain-level autonomy with enterprise-level oversight, creating a scalable and consistent framework across ANZ.

Metadata 94

Metadata Data Governance Data Quality Data-driven 94

CIO Business Intelligence

MARCH 22, 2024

It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,

Data Processing 105

Data Processing Data Warehouse Management Reporting 105

CIO Business Intelligence

FEBRUARY 20, 2024

Recent research by McGuide Research Services for Avanade found 91% of organisations in the sector believe they need to shift to an AI-first operating model within the next 12 months, while 87% of employees feel generative AI tools will make them more efficient, and more innovative.

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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 97

Enterprise Data Warehouse Snapshot Cost-Benefit 97

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. Data modeling organizes and transforms data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

Smart Data Collective

NOVEMBER 18, 2020

Data Mining Techniques and Data Visualization. Data Mining is an important research process. It hosts a data analysis competition. Practical experience. It is not very interesting to be engaged exclusively in theory, it is important to try your hand at practice. Here are some good options for doing this.

Data mining 144

Data mining Data Science Informatics Statistics 144

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 107

Analytics Data Warehouse Dashboards Testing 107

AWS Big Data

JUNE 10, 2024

One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. The producer account will host the EMR cluster and S3 buckets.

Data Lake 96

Data Lake Metadata Data Warehouse Data Processing 96

CIO Business Intelligence

OCTOBER 15, 2024

The formats are basically abstraction layers that give business analysts and data scientists the ability to mix and match whatever data stores they need, wherever they may lie, with whatever processing engine they choose. The data itself remains intact, uncopied and unaltered. And the table formats will keep track of all of it.

Metadata 117

Metadata Data Processing Uncertainty Data Warehouse 117

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 93

Sales Metadata Enterprise Testing 93

CIO Business Intelligence

JANUARY 16, 2023

All the logic is still in Java hosted on Amazon’s infrastructure.” Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

CIO Business Intelligence

OCTOBER 17, 2024

So, we aggregated all this data, applied some machine learning algorithms on top of it and then fed it into large language models (LLMs) and now use generative AI (genAI), which gives us an output of these care plans. We had a kind of small data warehouse on-prem. But the biggest point is data governance.

Management 111

Management Insurance ROI Cost-Benefit 111

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 107

IoT Data Warehouse Cost-Benefit Reporting 107

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. The image above demonstrates a KMS built using the llama3 model from Meta.

Management 80

Management Metrics Data Processing Data Lake 80

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Cloudera

FEBRUARY 22, 2021

That benefit comes from the breadth of CDP’s analytical capabilities that translates into a unique ability to migrate different big data workloads, either from previous versions of CDH / HDP or from other cloud data warehouses and legacy on-premises data warehouses that the acquired entity might be using.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. public, private, hybrid cloud)?

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. A solution. One cluster contains about 800 nodes.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 72

Visualization Data Warehouse Dashboards Data Processing 72

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

Octopai

NOVEMBER 24, 2021

As the first of its reasons why to migrate to Redshift , Amazon says, “Amazon Redshift is fully managed and simple to use, enabling you to deploy a new data warehouse in minutes and load virtually any type of data from a range of cloud or on-premises data sources.”. Setting up the data warehouse can take minutes.

Data Warehouse 96

Data Warehouse Metadata Data Processing Reporting 96

CIO Business Intelligence

MARCH 16, 2022

Modern approaches to insurance and changes in customer expectations mean that the insurance business model looks very different than it used to. This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively. Who did you involve and why?

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 104

Data Lake Data Warehouse Data-driven B2B 104

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 87

Data Processing IoT Data Warehouse Cost-Benefit 87

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75

ROI Data Warehouse Advertising Data Processing 75