Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. Overlooking these data resources is a big mistake.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

SEPTEMBER 16, 2022

The market was worth over $112 billion last year. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever. Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

CIO Business Intelligence

OCTOBER 2, 2024

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. Interactions give the “why.”

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

AUGUST 21, 2024

Gartner estimates unstructured content makes up 80% to 90% of all new data and is growing three times faster than structured data 1. The ability to effectively wrangle all that data can have a profound, positive impact on numerous document-intensive processes across enterprises. 20, 2023.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

CIO Business Intelligence

SEPTEMBER 20, 2023

Do this right, and CIOs can help their organizations leapfrog competitors by dramatically improving operations, streamlining marketing, and ratcheting up customer service. So much of that is hidden away in the chat history, not all the rows and columns of structured data. Did we solve the problem? LLMs pick that up on their own.

Unstructured Data 131

Unstructured Data Insurance Cost-Benefit Interactive 131

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

MARCH 29, 2024

“Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. Clinical documents often contain a mix of structured and unstructured data.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

CIO Business Intelligence

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. You can intuitively query the data from the data lake. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

CIO Business Intelligence

MAY 10, 2024

If you have experience in any of these 10 skills, it might be worth upskilling to expert proficiency to gain a competitive edge in the market. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130

IT Unstructured Data Software Reporting 130

Cloudera

MAY 14, 2024

This form of hybrid also goes a level deeper than one may find in a standard hybrid cloud, accounting for the entirety of the data lifecycle, whether that’s the point of ingestion, warehousing, or machine learning—even when that end-to-end data lifecycle is split between entirely different environments. Data comes in many forms.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

Jet Global

NOVEMBER 5, 2020

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. They are designed for enormous volumes of information, including semi-structured and unstructured data.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

CIO Business Intelligence

JUNE 28, 2022

And then there is the rise of privacy concerns around so much data being collected in the first place. Following are some of the dark secrets that make data management such a challenge for so many enterprises. Unstructured data is difficult to analyze. Even structured data is often unstructured.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

APRIL 25, 2024

Acting on data from anywhere in the flow of work. The data becomes part of Salesforce’s metadata framework and can thus be used in multiple ways, including generating BI or AI insights, marketing segmentation or activation, or creating unified customer experiences. Ground generative AI.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

Sisense

JULY 22, 2020

Every organization generates and gathers data, both internally and from external sources. The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) External data sources include partners, customers, potential leads, etc.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Smarten

AUGUST 23, 2023

If you have been following the industry and market discussions about Artificial Intelligence (AI), you know that there is a lot of controversy about how and when it can be used and about its readiness for public consumption. This approach allows you to provide summarization of data and information for queries and searches.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

Cloudera

JULY 26, 2021

In their seminal work on Data Product Development, MIT academics Meyer and Zack had advocated that a well-designed and executed platform approach “ enables a company to create new versions of its products rapidly and efficiently to respond to or anticipate changing market needs”.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Sisense

OCTOBER 6, 2020

Digging into quantitative data. Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

JUNE 30, 2020

A simple example would be the analysis of marketing campaigns. The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. Mobile BI is a big bright spot in the BI market right now. But do you know what problems BI tools can solve and what kind of BI tools can be considered good?

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

NOVEMBER 25, 2020

However, as they continue finding treatments and understanding the progression of these cancers, they now also need to serve a much higher expectation on delivery to market. Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Challenges Ahead.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

OCTOBER 30, 2020

Data lakes are oriented toward unstructured data and artificial intelligence. What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID. Structured data are, by their very nature, orderly and predictable. ERP data are highly structured.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

IBM Big Data Hub

JANUARY 10, 2024

Learning and data handling: Traditional programming is rigid; it relies on structured data to execute programs and typically struggles to process unstructured data. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs?

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. This performance innovation allows Nasdaq to have a multi-use data lake between teams. Data loading delayed the delivery of our reports.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

Wayne Yaddow

MARCH 14, 2025

Testing Limitations: Both dbt Cloud and dbtCore dbt is designed for SQL-based transformations in data warehouses, meaning it is not well-suited for non-SQL, real-time, or highly complex unstructured data transformations. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52