CIO Business Intelligence

MARCH 18, 2024

The CIO has strategies in place to address all three. Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform. AI tools rely on the data in use in these solutions.

Risk 127

Risk Cost-Benefit Data Processing Testing 127

CIO Business Intelligence

APRIL 9, 2024

Beginning in 2021, the Minneapolis-based Microsoft partner helped Dairyland migrate from several custom legacy applications to a commercial implementation of Dynamics 365 and an Azure data lake, which set the stage for the power company’s early foray into AI, according to the systems integrator.

Digital Transformation 90

Digital Transformation Machine Learning Data Lake Software 90

Data Virtualization

SEPTEMBER 23, 2020

I’m referring not only to our technology partners, but also to our cloud partners that host the Denodo Platform, Denodo is a very partner-friendly company, and here I’d like to share some thoughts about how Denodo works with our partners.

Strategy 52

Strategy Data Processing Technology Digital Transformation 52

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Unstructured Data 81

Unstructured Data Data Processing Manufacturing Data Lake 81

CIO Business Intelligence

OCTOBER 4, 2023

One strategy, five keys From a technological point of view, the brand’s strategic engine is divided into five investment areas. At the lowest layer is the infrastructure, made up of databases and data lakes. These applications live on innumerable servers, yet some technology is hosted in the public cloud.

Digital Transformation 124

Digital Transformation Deep Learning Data Lake Risk 124

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

JUNE 1, 2022

Finally, make sure you understand your data, because no machine learning solution will work for you if you aren’t working with the right data. Data lakes have a new consumer in AI. Many of our service-based offerings include hosting and executing our customers’ omnichannel platforms.

IT 79

IT Interactive Marketing Consulting 79

CIO Business Intelligence

JANUARY 10, 2024

FinOps is part of the equation, but from a CIO perspective, you need a top-down view that starts with the strategy before you talk about the components of it,” McMasters says. What’s the business case for use of the technology, and the strategy for a two- to three-year period, and where do we need to be two to three years from now?

Cost-Benefit 113

Cost-Benefit Measurement Optimization Metrics 113

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. 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).

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Well, let’s find out. Artificial intelligence (AI). Easy to use. Hopefully, it was informative and helpful to you.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. The platform is built on S3 and EC2 using a hosted Hadoop framework. The rest is history.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

MARCH 20, 2023

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 5: Cloud data warehouses reduce control over your deployment Some DBAs believe that cloud data warehouses lack the control and flexibility of on-prem data warehouses, making it harder to respond to security threats, performance issues or disasters.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. There are multiple tables related to customers and order data in the RDS database.

Metadata 118

Metadata Visualization Data Lake Data-driven 118

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. You need to determine if you are going with an on-premise or cloud-hosted strategy. You want an organization-wide buy-in of your business intelligence strategy.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

JULY 14, 2023

Consumers prioritized data discoverability, fast data access, low latency, and high accuracy of data. These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture.

Finance 80

Finance Metadata Big Data Recreation/Entertainment 80

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR GOOD.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 84

Reporting Data Lake Management Optimization 84

Sisense

NOVEMBER 12, 2020

The warehouse being hosted in the cloud makes it more accessible, and with a rise in cloud SaaS products, integrating a company’s myriad cloud apps (Salesforce, Marketo, etc.) with a cloud data warehouse is simple. Data lakes are essentially sets of structured and unstructured data living in flat files in some kind of data storage.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

JUNE 13, 2023

Organizations are working toward centralizing their identity and access strategy across all their applications, including on-premises and third-party. Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 102

Management Metrics Cost-Benefit Data Lake 102

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. After you install the data extraction agent, register it in AWS SCT.

Data Warehouse 84

Data Warehouse Data Processing Data Lake Management 84

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. So we had three tiers providing a separation of concerns: presentation, logic, data. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. . For example, the bank from our example might have separate destination data lakes for their perpetual and periodic workloads to support addressing these VIP workloads separately.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Do you recommend a consulting approach strategy rather than a CDO strategy? Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Next, identify the data sources that will be involved in the mapping.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

CIO Business Intelligence

FEBRUARY 10, 2023

While managing unstructured data remains a challenge for 36% of organizations, according to the 2022 Foundry Data and Analytics Research survey, many IT leaders are actively seeking ways of harnessing all types of data stored in data lakes.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. There are several things you need to report attached to that number.”

Reporting 103

Reporting Data Quality Strategy Data-driven 103

CIO Business Intelligence

MARCH 10, 2022

And analyst Dr. Nimita Limaye, research vice president of life sciences R&D strategy and technology at IDC, says such IT efforts at institutions like UAB are vital given competition from the private sector. Next up: AI and data lake decisions.

IT 81

IT Data Lake Digital Transformation Data Governance 81

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

CIO Business Intelligence

JULY 29, 2022

That focus includes not only the firm’s customer-facing strategies but also its commitment to investing in the development of its employees, a strategy that is paying off, as evidenced by Capital Group’s No. The bootcamp broadened my understanding of key concepts in data engineering.

Data Lake 85

Data Lake Software Data Processing Structured Data 85

Cloudera

JANUARY 21, 2021

In one institution we recently spoke with, they told us it took them over 30 weeks to procure and deploy a new data warehouse, while with CDW they got everything up and running in just a few seconds (after, of course, a few days obtaining the data migration and policy clearances involved). . Central control of security and governance.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

CIO Business Intelligence

SEPTEMBER 22, 2023

The term “data management platform” can be confusing because, while it sounds like a generalized product that works with all forms of data as part of generalized data management strategies, the term has been more narrowly defined of late as one targeted to marketing departments’ needs. Of course, marketing also works.

Management 102

Management Advertising Data Lake Sales 102

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. .

Data Architecture 83

Data Architecture Cost-Benefit Digital Transformation Business Driver 83