TechCrunch

JUNE 17, 2021

The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.

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CTOvision

AUGUST 1, 2015

“Organizations are spending billions of dollars to consolidate its data into massive data lakes for analytics and business intelligence without any true confidence applications will achieve a high degree of performance, availability and scalability. The post Immuta raises $1.5M

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TechCrunch

OCTOBER 20, 2021

Its new Data Intelligence product enables organizations to make all of their mobile data accessible and actionable by their business intelligence and data science teams so that other departments, like engineering, product and marketing, can use that data to make better decisions about areas like new products and marketing campaigns.

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Mobile Data Weak Development Team Software 246

Gorilla Logic

NOVEMBER 21, 2019

First, What Is Business Intelligence? Some people think that business intelligence is just retrieving information from a database, and creating reports and dashboards. At Gorilla Logic, we see business intelligence as much more than that. What’s the Big Deal about Big Data and Business Intelligence?

Business Intelligence 87

Business Intelligence Case Study Azure Big Data 87

Linux Academy

APRIL 10, 2019

Cloud Data Fusion. Big data got some big news today as well. Cloud Data Fusion, a new service for moving data into BigQuery, was introduced; it boasts an open-source transformation engine and 100+ connectors. A quick demo displayed a drag-and-drop UI for quickly migrating your data to the cloud.

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Google Cloud Big Data Cloud Data 97

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

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Big Data Data Business Intelligence Analytics 91

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

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Big Data Technology Tools Cloud 107

CIO

APRIL 22, 2022

Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline. Data science processes and methodologies.

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Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

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Data Engineering Engineering Data Technical Review 130

TechCrunch

FEBRUARY 24, 2021

, and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately. Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses ), infrastructure to make accessing data more robust and easy.

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Data Business Intelligence Big Data Data Engineering 271

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is an analytics carrier that combines big facts and statistics warehousing skills. It allows information engineers, facts scientists, and enterprise analysts to query, control, and use lots of equipment and languages to gain insights. Also combines data integration with machine learning.

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Azure Analytics Storage Machine Learning 92

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

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Analytics Data Analysis Business Analytics 203

Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

CTOvision

AUGUST 3, 2015

Al is a retired Army Intelligence Officer and US Special Operations Innovation Officer who has spent a career working at the intersection of military ops, geography, technology and social media. commercial business intelligence firms. They also served many other clients including: a multi-billion dollar video game company.

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Big Data Media Social Fractional CTO 103

Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. What is SAP Business Intelligence? Database and data management solutions. SAP Business Intelligence.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

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Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

TechCrunch

SEPTEMBER 29, 2022

Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.)

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CIO

MARCH 21, 2022

Before a data scientist can find meaning in structured or unstructured data, business leaders and department managers must communicate what they’re looking for. Discover the best data science certs , top master’s programs , best bootcamps , and the essential skills and traits of elite data scientists.

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Analytics Data Technical Review Analysis 205

CTOvision

JULY 26, 2014

Key to their capabilities is the world''s first temporal analytics engine. Missions served by Recorded Future are as varied. To read more please log in.

Software 102

Software Big Data Business Intelligence Analytics 102

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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Big Data Analytics Tools Applications 78

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

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Fractional CTO Technical Review Big Data Analytics 134

CIO

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 The right big data certifications and business intelligence certifications can help.

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Data Analytics Transportation Business Intelligence 148

TechCrunch

DECEMBER 16, 2020

It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”

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Data Analytics B2C Big Data 251

InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

Big Data 78

Big Data Data Azure Google Cloud 78

Altexsoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

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Data Engineering Engineering Data Machine Learning 98

Hacker Earth Developers Blog

JUNE 26, 2019

Provide recommendations : Using data to form predictive models for companies to better understand their target customers; e-commerce companies use this to recommend products based on buying behavior and also monitor stock levels in warehouses. These business insights play an important role in the decision-making process of any organization.

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Data How To Machine Learning Artificial Inteligence 200

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

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Business Intelligence Analytics Analysis Data 87

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. They collect vast amounts of information, and use data science to discover new customers needs, develop new products and services, and identify trends and opportunities. Knowledge is power.

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CIO

MAY 12, 2022

Turning good artificial intelligence algorithms into productive insights is the main goal of H2O.ai’s AI Cloud. Its “Driverless AI” offers an automated pipeline for ingesting data and studying the most salient features. Highlights: Focus on AI is best for problems that require complex solutions that adapt to incoming data.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

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Fractional CTO Program Management Programming Big Data 113

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

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Data Engineering Engineering Artificial Inteligence Data 69

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies.

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Big Data Data Development Business Intelligence 52

TechCrunch

SEPTEMBER 19, 2022

Tregoe, CEO, told TechCrunch that while helping brands like Casper, Peloton and Warby Parker understand how to do more effective Facebook advertising, they realized they were building big data systems and modeling revenue on a per customer basis. That got them thinking about what else they could do with the data. “We

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Games Analytics Advertising Big Data 214

CTOvision

MARCH 5, 2014

You will also learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses. The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling. Chapter 21: Big Data Analytics. in Electrical Engineering from Stanford University.

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Data Big Data Case Study Analysis 107

CTOvision

FEBRUARY 20, 2015

Their products help with data integration, replication, virtualization, masking, and quality. Their flagship product is Vibe, a virtual data machine which is an "embeddable data management engine that powers Informatica''s Intelligent Data Platform and can access, aggregate, and manage any type of data.".

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Data Company Innovation Big Data 105