AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures. Are data architects in demand?

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. All of this supports the use of AI.

Data Lake 79

Data Lake Metadata Cost-Benefit Data Warehouse 79

Cloudera

AUGUST 8, 2022

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). 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 ).

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 91

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 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

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 86

Data Warehouse Analytics Metadata Dashboards 86

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 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Business Intelligence 139

CIO Business Intelligence

JUNE 13, 2022

The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA. The clinical data warehouse analysis is available 24 hours a day, seven days a week, both online and via text. But when you combine it with machine learning algorithms, you can do good things.”. Data Management

Data Warehouse 88

Data Warehouse Software Manufacturing Machine Learning 88

AWS Big Data

MAY 17, 2023

million at the end of 2022. As Peloton’s business continued to evolve amid a changing macroeconomic environment, it was essential that it could make smart business decisions quickly, and one of the best ways to do that was to harness insights from the huge amount of data that it had been gathering over recent years.

Data Warehouse 113

Data Warehouse Cost-Benefit Sales Data-driven 113

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

CIO Business Intelligence

DECEMBER 19, 2022

To develop these products, we will heavily use data, artificial intelligence, and machine learning. Through the new state-of the-art innovation centre, we intend to attract skilled resources in the areas of product management, data sciences, user experience, and software engineering. With ChatGPT, DALL.E,

Data Warehouse 113

Data Warehouse Finance Machine Learning Technology 113

DataRobot

JANUARY 20, 2022

The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 73

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 73

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 89

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 89

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Machine Learning 86

Machine Learning Cost-Benefit IoT Data Warehouse 86

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 130

Data mining Data-driven Statistics OLAP 130

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. 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 71

Analytics Data Warehouse Data Lake Data-driven 71

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Supercharge your data lakehouse, make it open.

Data Lake 86

Data Lake Data Architecture Metadata Data Warehouse 86

CIO Business Intelligence

MAY 16, 2022

The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. billion connected IoT devices by 2025, generating almost 80 billion zettabytes of data at the edge. over last year.

IoT 82

IoT Data Warehouse Internet of Things Machine Learning 82

IBM Big Data Hub

OCTOBER 30, 2023

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market.

Insurance 79

Insurance Data Warehouse Data-driven Unstructured Data 79

AWS Big Data

JUNE 28, 2023

Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now available in public preview for Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) For this illustration, we use a provisioned Aurora database and an Amazon Redshift Serverless data warehouse.

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

CIO Business Intelligence

SEPTEMBER 10, 2022

In the wake of the COVID-19 pandemic, airlines have struggled with bad weather, fewer air traffic controllers, and a shortage of pilots, all leading to an unprecedented number of cancelations in 2022. Combining automation with machine learning for natural language processing is very effective in helping solve many customer-facing issues.”.

Analytics 138

Analytics Machine Learning Digital Transformation Data Warehouse 138

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. IoT systems access millions of devices that generate large amounts of streaming data. This means you can stream in structured — as well as unstructured data — for real-time analytics.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

Cloudera

OCTOBER 6, 2022

Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise. We see this in the area of operational databases and legacy data warehouses. This page describes UDD in more detail.

Digital Transformation 88

Digital Transformation Cost-Benefit Data Lake Machine Learning 88

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 109

Data Lake IT Experimentation Data-driven 109

AWS Big Data

APRIL 3, 2024

You can share data for collaboration with one or more accounts in the same Snowflake region. You can also use data in Snowflake for visualization using Amazon QuickSight , or use it for machine learning (ML) and artificial intelligence (AI) purposes with Amazon SageMaker. Nidhi Gupta is a Sr.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

AWS Big Data

NOVEMBER 15, 2023

Bayerische Motoren Werke AG (BMW) is a motor vehicle manufacturer headquartered in Germany with 149,475 employees worldwide and the profit before tax in the financial year 2022 was € 23.5 They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. billion on revenues amounting to € 142.6

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Alation

DECEMBER 15, 2022

August 2020: Constellation Research names Alation to its Constellation Shortlist for Metadata Management, Data Cataloging & Data Governance in Q3 2020 and Alation customer Cisco wins the Constellation SuperNova Award for Use of Alation for Data Governance. July 2022: Alation achieves 400 active customers.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Cloudera

SEPTEMBER 9, 2022

This is the promise of the modern data lakehouse architecture. analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.”

Metadata 100

Metadata Machine Learning Unstructured Data Data Lake 100

Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics.

Snapshot 92

Snapshot Data Science Digital Transformation Metadata 92

IBM Big Data Hub

APRIL 27, 2022

Since its uniquely metadata-driven, the abstraction layer of a data fabric makes it easier to model, integrate and query any data sources, build data pipelines, and integrate data in real-time. This improves data engineering productivity and time-to-value for data consumers. What’s a data mesh?

Management 81

Management Metadata Data Architecture Data Lake 81

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. Originally published in 2018, the book has a second edition that was released in January of 2022. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. According to IDC estimates , there will be 55.7

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

CIO Business Intelligence

NOVEMBER 22, 2022

“Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.” The next step in every organization’s data strategy, Guan says, should be investing in and leveraging artificial intelligence and machine learning to unlock more value out of their data.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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 71

Data Lake Cost-Benefit Dashboards Data Warehouse 71

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70