CIO Business Intelligence

APRIL 12, 2023

Real-time AI involves processing data for making decisions within a given time frame. Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

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 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

CIO Business Intelligence

MAY 23, 2024

The company is also applying machine learning (ML) to gather information from various public sources that can be used internally for market and product analysis. On the one hand, there’s demand from the business for more AI services, and at the same time, it’s essential to keep an eye on quality and cost. “We

Digital Transformation 111

Digital Transformation Measurement Cost-Benefit Data Warehouse 111

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. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 112

Data Warehouse Cost-Benefit Sales Data-driven 112

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

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

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 97

Management Big Data Metadata Data Warehouse 97

CIO Business Intelligence

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Data Warehouse 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

Cloudera

OCTOBER 6, 2022

A major goal of these projects is cost reduction; it’s not sexy, it’s pragmatic. Finding opportunities for monetary savings offers the benefit of reducing costs, but more importantly, it enables a reallocation of budgets towards innovation projects. . Cost savings opportunities. Strategies to maximize impact.

Digital Transformation 90

Digital Transformation Cost-Benefit Data Lake Machine Learning 90

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning .

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Instead, you face runaway operational costs.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Timo Elliott

MARCH 6, 2023

He explains how businesses can leverage AI and machine learning to turn anything into a sensor, detect patterns in new ways, and augment human intelligence. He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty ROI 111

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

CIO Business Intelligence

SEPTEMBER 8, 2022

For several decades this has been the story behind Artificial Intelligence and Machine Learning. As Andy Jassy, CEO of Amazon, said, “Most applications, in the fullness of time, will be infused in some way with machine learning and artificial intelligence.”.

Machine Learning 115

Machine Learning Cost-Benefit Data-driven Digital Transformation 115

Cloudera

SEPTEMBER 2, 2020

CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 70

Cost-Benefit Data Warehouse Data Lake Machine Learning 70

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

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. Cost Cloud services operate on a pay-as-you-go model, and estimating costs accurately can be challenging during a POC.

Testing 100

Testing Data Warehouse Metrics Cost-Benefit 100

Cloudera

DECEMBER 20, 2022

In addition, using data well can allow better decisions to be made, such as the possibility of bypassing the day-ahead market and going directly to the intraday market and having a better return per watt generated. . Organizations working in traditional energy generation will have to adjust costs by improving the efficiency of these plants.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

CIO Business Intelligence

JANUARY 8, 2024

Instead, the publicly held operator of Cathay Pacific Airlines and HK Express is shifting from migration to optimization mode in an effort to wrest additional benefits from its all-in cloud transformation. Even as its cloud journey reaches cruising altitude, Cathay Pacific Group IT is not slowing down.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

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.

Management 96

Management Data Warehouse Metrics Dashboards 96

CIO Business Intelligence

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

AWS Big Data

APRIL 3, 2024

Snowflake integrates with AWS Glue Data Catalog to access the Iceberg table catalog and the files on Amazon S3 for analytical queries. This greatly improves performance and compute cost in comparison to external tables on Snowflake , because the additional metadata improves pruning in query plans.

Data Lake 95

Data Lake Snapshot Metadata Data Architecture 95

BizAcuity

JULY 13, 2021

In many cases, source data is captured in various databases and the need for data consolidation arises and typically it takes around 6-9 months to complete, and with a high budget in terms of provisioning for servers, either in cloud or on-premise, licenses for data warehouse platform, reporting system, ETL tools, etc.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

IBM Big Data Hub

APRIL 28, 2022

The time required to discover critical data assets, request access to them and finally use them to drive decision making can have a major impact on an organization’s bottom line. That’s where the data fabric comes in. Learn more about a data fabric architecture and how it can benefit your organization.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

AWS Big Data

MAY 30, 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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

datapine

SEPTEMBER 27, 2022

Recently published in 2021, “SQL for Data Scientists” by author and experienced data scientist, Rénee Teate, teaches its readers all the skills that data scientists use the most in their daily work. The all-encompassing nature of this book makes it a must for a data bookshelf. Best Advanced SQL Books. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 71

Risk Modeling Management Metadata 71

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. According to CompTIA , benefits of EAP include: Allowing more open collaboration between IT and business units.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 70

Data Lake Cost-Benefit Dashboards Data Warehouse 70

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 Cost-Benefit Digital Transformation 87

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The sections that follow dive into the technology capabilities of COD and , more broadly, the Cloudera Data Platform that deliver these value propositions. . Technology Cost Optimization.

Cost-Benefit 96

Cost-Benefit Optimization Risk Management 96

erwin

AUGUST 15, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud provider’s sizing vs. cost calculator. A sample data warehousing project. I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Sisense

MARCH 20, 2019

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. Data Warehousing. Machine Learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Ontotext

MARCH 18, 2020

The many data warehouse systems designed in the last 30 years present significant difficulties in that respect. When designing a system’s architecture, it’s impossible to know from the start all the ways data will be used. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59