erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

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 better price-performance than other cloud data warehouses. Data processing jobs enrich the data in Amazon Redshift.

Data Warehouse 93

Data Warehouse Analytics Cost-Benefit Modeling 93

ScienceSoft

JANUARY 9, 2020

Explore our step-by-step guide on how to build a data warehouse avoiding possible risks.

Data Warehouse 52

Data Warehouse Risk 52

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

BI-Survey

NOVEMBER 19, 2018

S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-house.

Data Warehouse 66

Data Warehouse Reporting Risk Optimization 66

Laminar Security

JULY 19, 2023

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Jet Global

DECEMBER 8, 2020

A full Power BI implementation is a large-scale project, and it carries similar risks. If you are considering using Power BI in your organization, here are some key points to keep in mind that impact project risk: 1. Power BI Without the Risk. Power BI Is Highly Complex. That’s a relatively straightforward proposition.

Finance 52

Finance Risk Reporting Software 52

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. Kudu has this covered. appeared first on Cloudera Blog.

Data Warehouse 85

Data Warehouse Experimentation Cost-Benefit Dashboards 85

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

AUGUST 17, 2023

He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. The aim of the project is to use the vast wealth of data the business has more effectively. They ultimately decided on a Snowflake data warehouse solution, delivered by a local partner called Intellinexus.

Data Warehouse 96

Data Warehouse Cost-Benefit Digital Transformation Strategy 96

Laminar Security

APRIL 18, 2023

What’s needed is a technology solution that can see into and across the various, disparate clouds, giving the user one, unified view into all cloud data risk. “Data stakeholders need to understand data exposure and mitigate risk no matter how diversified the data environment is. .

Data Warehouse 52

Data Warehouse Risk Cost-Benefit Structured Data 52

Laminar Security

AUGUST 31, 2023

New cloud file share integrations mark a pivotal moment for holistic data security posture management in the cloud In today’s digital era, cloud file-sharing platforms have become the backbone of modern businesses, enabling swift, seamless, and efficient data collaboration.

Risk 88

Risk Data Warehouse Measurement Management 88

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

Cloudera

FEBRUARY 12, 2024

Most cloud users do not like opening firewall rules because that will introduce the risk of exposing private data on the internet. For data warehouse: create data warehouses through the Cloudera command line interface with the parameter “privateDNSZoneAKS”: set to”None.”

Data Warehouse 52

Data Warehouse Machine Learning Data Lake Management 52

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Cloudera

NOVEMBER 1, 2022

These systems can pose operational risks, including rising costs and the inability to meet mission requirements. . Mission use case: increasing visibility and mitigating supply chain risk . The source and availability of every material and part across each branch is an opportunity for risk.

Cost-Benefit 85

Cost-Benefit Data Architecture Risk IoT 85

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake. Mitigate risks with a seamless cloud migration.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 93

Data Governance Unstructured Data Metadata Data Lake 93

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Laminar Security

AUGUST 31, 2023

New cloud file share integrations mark a pivotal moment for holistic data security posture management in the cloud In today’s digital era, cloud file-sharing platforms have become the backbone of modern businesses, enabling swift, seamless, and efficient data collaboration.

Risk 65

Risk Data Warehouse Measurement Management 65

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. What do you migrate, how, and when?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Data Warehouse 104

Data Warehouse Consulting Machine Learning Risk 104

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

IBM Big Data Hub

OCTOBER 30, 2023

Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages. AI algorithms sift through large datasets to identify fraud risks and streamline claims processing, improving both efficiency and customer satisfaction.

Insurance 83

Insurance Data Warehouse Data-driven Unstructured Data 83

IBM Big Data Hub

NOVEMBER 6, 2023

Data-driven personalization is essential in today’s business environment. With 89% of digital businesses investing in personalization to enhance the customer digital experience , those that fail to do so risk falling behind. Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources.

Cost-Benefit 108

Cost-Benefit Enterprise ROI Data Warehouse 108

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

CIO Business Intelligence

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near future.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Octopai

MARCH 22, 2023

Data migration can be a daunting task, especially when dealing with large volumes of data. Snowflake is one of the leading cloud-based data warehouse that provides scalability, flexibility, and ease of use. Snowflake data warehouse platform has been designed to leverage the power of modern-day cloud computing technology.

Cost-Benefit 78

Cost-Benefit Data Warehouse Unstructured Data Optimization 78

AWS Big Data

JUNE 28, 2023

Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

Cloudera

JANUARY 28, 2022

Are you seeking to improve the speed of regulatory reporting, enhance credit decisioning, personalize the customer journey, reduce false positives, reduce data warehouse costs? What data do I need to achieve these objectives? Managing Cloud Concentration Risk. What are your business goals, what are you trying to achieve?

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

Sisense

JUNE 8, 2020

Datasets are on the rise and most of that data is on the cloud. The recent rise of cloud data warehouses like Snowflake means businesses can better leverage all their data using Sisense seamlessly with products like the Snowflake Cloud Data Platform to strengthen their businesses.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89