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. Structured. Semi-structured.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Smart Data Collective

SEPTEMBER 16, 2022

They are using big data technology to offer even bigger benefits to their fintech customers. In this article, we will look at the main trends in the field of fintech development services for 2022. Speaking of global fintech trends, one cannot fail to mention Big Data. Among them are distinguished: Structured data.

Finance 116

Finance Unstructured Data Cost-Benefit Big Data 116

Smart Data Collective

AUGUST 28, 2021

Data lakes and data warehouses are probably the two most widely used structures for storing data. In this article, we will explore both, unfold their key differences and discuss their usage in the context of an organization. Data Warehouses and Data Lakes in a Nutshell. A Final Word.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. This will be elaborated on in the third part of this article. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Andrew White

MAY 28, 2020

A perfect article landed in my lap Saturday morning that highlighted the fallacy so many people make in the belief of being data-driven. and their assumptions would be laid out in front of me: Get the best tool, the cleanest data, the best analytic, the right visualization, and the right decision will be taken.

Data-driven 69

Data-driven Big Data Structured Data Visualization 69

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Some use case examples will help.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Rocket-Powered Data Science

JULY 7, 2019

is also sometimes referred to as IIoT (Industrial Internet of Things) or Smart Manufacturing, because it joins physical production and operations with smart digital technology, Machine Learning, and Big Data to create a more holistic and better connected ecosystem for companies that focus on manufacturing and supply chain management.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Sisense

JUNE 8, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. Scalable cloud solutions: The future of data and analytics.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 64

Consulting Machine Learning Manufacturing Optimization 64

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

FineReport

JUNE 24, 2021

Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. BI software solutions often support multiple data source connections. Allowing business personnel to obtain the data they need conveniently is the basis for fast-responsive analysis.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 83

Unstructured Data Deep Learning Cost-Benefit Modeling 83

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

IBM Big Data Hub

JULY 6, 2023

Human experts determine the hierarchy of features to understand the differences between data inputs, usually requiring more structured data to learn. It can ingest unstructured data in its raw form (e.g., As we generate more big data, data scientists will use more machine learning.

Deep Learning 61

Deep Learning Machine Learning Unstructured Data Modeling 61

Sisense

JUNE 5, 2019

We live in an era of Big Data. The sheer volume of data currently existing is huge enough without also grappling with the amount of new information that’s generated every day. It’s no wonder, then, that NoSQL databases are seeing a lot of use in Big Data and real-time web apps. Cloud Solutions. Decision Time.

Big Data 75

Big Data Cost-Benefit IoT Structured Data 75

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. The AWS DPA is incorporated into the AWS Service Terms.

Snapshot 80

Snapshot Metadata Measurement Data Warehouse 80

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. If you want to learn more about chart types, this article is for your reference: Top 16 Types of Chart in Data Visualization. Nowadays, the business intelligence market is heating up. Support mobile display.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. This article endeavors to alleviate those confusions.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Seriously, this entire article merely skims the surface of those reports. Check the end of this article for key guidance synthesized from the practices of the leaders in the field. Meanwhile, the landscape is evolving rapidly.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. This will be essential for all countries.

Deep Learning 79

Deep Learning Unstructured Data Cost-Benefit Big Data 79