Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Cloud Computing. BI requires a lot of data, making the public cloud an attractive and cost-effective solution.

Analytics 52

Analytics Trends Data Big Data 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Apache Iceberg was built from inception with the goal to be easily interoperable across multiple analytic engines and at a cloud-native scale.

Data 94

Data Analytics Open Source Architecture 94

TIBCO - Connected Intelligence

JULY 13, 2020

While COVID-19 presents a short-term hindrance, I recently simulated this experience with my friend Philip Moston, a business intelligence (BI) Architect and Solutions Consultant at TIBCO partner QuinScape, based in Dortmund, home to the highest concentration of breweries in Germany. . Click To Tweet.

Analytics 58

Analytics Data Virtualization Business Intelligence 58

Cloudera

FEBRUARY 8, 2024

Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Starting from the CDW Public Cloud DWX-1.6.1 Conclusion This blog post describes the materialized view support in Hive for the Iceberg table format.

Groups 91

Groups Technical Review Performance AWS 91

Actian

AUGUST 20, 2019

IBM is promoting “lift and shift” of Netezza to their IBM Cloud. There are broadly two classes of workloads running on Netezza systems: Business Intelligence-led systems and Line of Business (LoB) applications. Businesses with rigorous compliance or privacy demands often prefer to store some data on-premise.

Fashion 40

Fashion Cloud Data Data Center 40

Actian

AUGUST 20, 2019

IBM is promoting “lift and shift” of Netezza to their IBM Cloud. There are broadly two classes of workloads running on Netezza systems: Business Intelligence-led systems and Line of Business (LoB) applications. Businesses with rigorous compliance or privacy demands often prefer to store some data on-premise.

Fashion 8

Fashion Cloud Data Data Center 8

Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. Cloudera offers a platform, Cloudera Data Platform (CDP), for building end-to-end data applications in both the public and private cloud.

Data 97

Data Analytics Storage Big Data 97

TIBCO - Connected Intelligence

FEBRUARY 10, 2020

Open your heart to TIBCO’s guide to streaming business intelligence (BI) , diagnose issues in real time, and quickly outpace competitors. Cupid’s Connected Cloud. Check out this eBook to learn how TIBCO’s API management solution will leave you—and your developers—on Cloud Nine! Now that’s what we call love.

Data 35

Data eBook Analytics Business Intelligence 35

Radiant Logic

MARCH 12, 2014

In, short it is the identity infrastructure that enterprises need to access the cloud through those protocols. Check out our recent webinar and get all the details from our tech goddess Lisa Grady. So how is this layer implemented? To keep today’s story short (and visual!),

Groups 40

Groups Virtualization Policies Architecture 40

DataRobot

JUNE 23, 2022

DATAROBOT AI CLOUD. Decision Intelligence Flows. Far fewer AI models succeed in creating business value when there is no existing prediction to replace. Augmenting business decisions with AI. The post The AI Contribution to Decision-Making appeared first on DataRobot AI Cloud. Go Beyond Predictions. Learn More.

Artificial Inteligence 59

Artificial Inteligence Policies Analysis Systems Review 59

TIBCO - Connected Intelligence

JUNE 30, 2021

But despite all of this progress towards a smarter, more agile enterprise technology landscape, one classic market pain persists for traditional business intelligence (BI) and reporting: data for decision support isn’t actionable when or where decision makers need it. Click To Tweet. LTS first appeared on The TIBCO Blog.

Analytics 40

Analytics Analysis Agile Enterprise 40

Progress

JANUARY 30, 2020

For example, I run product and digital marketing for the Cognitive First group at Progress, and we had an amazing MQL to SQL conversion rate that exceeded industry benchmarks by around 25% for a webinar contrasting popular cloud appdev platforms by our very credible developer relations team. What can others learn from this?

Marketing 52

Marketing Data Metrics Trends 52

Progress

JANUARY 30, 2020

For example, I run product and digital marketing for the Cognitive First group at Progress, and we had an amazing MQL to SQL conversion rate that exceeded industry benchmarks by around 25% for a webinar contrasting popular cloud appdev platforms by our very credible developer relations team. What can others learn from this?

Marketing 52

Marketing Data Metrics Trends 52

Progress

JANUARY 30, 2020

For example, I run product and digital marketing for the Cognitive First group at Progress, and we had an amazing MQL to SQL conversion rate that exceeded industry benchmarks by around 25% for a webinar contrasting popular cloud appdev platforms by our very credible developer relations team. What can others learn from this?

Marketing 52

Marketing Data Metrics Trends 52

Progress

JANUARY 30, 2020

For example, I run product and digital marketing for the Cognitive First group at Progress, and we had an amazing MQL to SQL conversion rate that exceeded industry benchmarks by around 25% for a webinar contrasting popular cloud appdev platforms by our very credible developer relations team. What can others learn from this?

Marketing 52

Marketing Data Metrics Trends 52

Kentik

MARCH 27, 2017

Cloud complexities raise the bar for effective protection. I was focused on our current customer base in digital business as well as cloud and service providers. I was focused on our current customer base in digital business as well as cloud and service providers. What’s a complex enterprise?

Enterprise 40

Enterprise Policies Analytics Architecture 40

TIBCO - Connected Intelligence

JUNE 9, 2020

The traditional technology approach to logistics has been to host everything in a data warehouse and use extract, transform, and load (ETL) tools to rationalize data followed by a series of business intelligence tools to analyze it. As a result, the company has seen a four-time increase in vessels monitored and a 3.5

Technology 32

Technology Big Data Blockchain Innovation 32

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Deloitte calculated that companies with data-driven CEOs are 77 percent more likely to succeed) and in today’s business world it’s absolutely self-evident that data is the key to success.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

TIBCO - Connected Intelligence

JUNE 18, 2021

But, because your data is so complex in form and format—and distributed across a diverse landscape of applications, databases, marts, warehouses, and lakes, both on-premises and in the cloud—simply accessing your data is a huge challenge. You can also attend Rick’s webinar for additional guidance. How big is this challenge?

Data 26

Data LAN Analytics Architecture 26

LaunchDarkly

JANUARY 17, 2019

JM: I want to talk to you today about building feature flagging, but I also want to talk about the business, because LaunchDarkly is a pretty interesting case study of a successful developer tooling company and it’s not under a major cloud provider. Do the cloud providers even understand how big of a market feature flagging is?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

CIO

FEBRUARY 24, 2025

Intelligenza artificiale e cloud stanno sostenendo il CAGR a due cifre, ma la trasformazione digitale non si esaurisce negli investimenti tecnologici: formazione, comunicazione e change management sono i veri abilitatori. Ma il 37% non dispone di una programmazione delle attivit formative e il 19% le programma ogni due o tre anni.

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Change Management Technical Review Healthcare Business Intelligence 144