Smart Data Collective

SEPTEMBER 16, 2022

Client requests naturally grow with the development of technology. They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Unstructured data. Data security.

Finance 115

Finance Unstructured Data Cost-Benefit Big Data 115

CIO Business Intelligence

MARCH 21, 2022

Data scientist is also proving to be a satisfying long-term career path, with Glassdoor’s 50 Best Jobs in America rank data scientist the third-best job in the US. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

IBM Big Data Hub

MARCH 29, 2024

It may be the solution that finally breaks through dysfunctional silos of business units, applications, data and people, and moves beyond the constraints that have cost companies dearly. Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases.

Management 90

Management Structured Data Modeling Data Governance 90

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

CIO Business Intelligence

DECEMBER 13, 2023

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago.

Unstructured Data 98

Unstructured Data IoT Metadata Modeling 98

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Career Relevance.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. To run HiveQL-based data workloads with Spark on Kubernetes mode, engineers must embed their SQL queries into programmatic code such as PySpark, which requires additional effort to manually change code. Amazon EMR on EKS release 6.7.0

Big Data 79

Big Data Data Processing Interactive Testing 79

AWS Big Data

FEBRUARY 20, 2024

To overcome these challenges, businesses need a solution that can provide near-real-time analytics on transactional data with services that don’t lead to latent processing and bloat from managing the pipeline. You can define a schema or choose to ingest semi-structured data with the SUPER data type.

Visualization 97

Visualization Cost-Benefit Optimization B2B 97

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency. Here are some ways that event processing could play a pivotal role in fueling AI capabilities.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3.

Data Lake 82

Data Lake Big Data Consulting Data Warehouse 82

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

APRIL 9, 2024

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

Management 86

Management IT Machine Learning Metrics 86

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

Ontotext

MAY 30, 2019

It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge. Would Johnny be better off if the data to be transferred was Linked Data? Linked Data or Semantic Technology?

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 88

IT Data Architecture Unstructured Data Big Data 88

Cloudera

OCTOBER 28, 2021

The German underwriters analyzed historical data such as weather, location, breed, type of crop, and a farmer’s experience to assess risk, underwrite and set price exposures. In this way, the Commercial Lines segment of insurance has really been a user of big data since its inception.

Insurance 95

Insurance Risk Unstructured Data Data-driven 95

AWS Big Data

FEBRUARY 7, 2023

Business needs often drive table structure, such as schema evolution (the addition of new columns, removal of existing columns, update of column names, and so on) for some of these tables in one business function that requires other business functions to replicate the same. Ketan Karalkar is a Big Data Solutions Consultant at AWS.

Data Lake 72

Data Lake Testing Big Data Structured Data 72

IBM Big Data Hub

APRIL 26, 2023

They are also interested and involved in the holistic application of emerging technologies like additive manufacturing, autonomous technologies, and artificial intelligence. They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well.

Business Analytics 83

Business Analytics Reporting Analytics Finance 83

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 or Semantic Technology?

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

CDW Research Hub

OCTOBER 12, 2021

Unreliable Data as a Service (DaaS) implementations. Restrictions to cloud, on-premises, and hybrid data architecture design. Silos within big data implementations. With the Denodo platform, new sources can be added relatively quickly, including emerging data storage architectures such as cloud or big data.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. What Impact Is Big Data Having Towards Investing?

Big Data 139

Big Data Marketing Data Analytics Analytics 139

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. This may lead to misleading evaluations about the technology or concept being tested.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

IBM Big Data Hub

APRIL 18, 2023

The Technology & Engineering Emmy awards recognize individuals or organizations whose work provides “extensive improvement on existing methods” or whose contributions are “so innovative in nature that they have materially affected television.”

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

AWS Big Data

JANUARY 22, 2024

The solution Acast implemented is a data mesh, architected on AWS. The solution mirrors the organizational structure rather than an explicit architectural decision. As per the Inverse Conway Maneuver , Acast’s technology architecture displays isomorphism with the business architecture.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

AWS Big Data

AUGUST 2, 2023

FIS , a leading technology and services provider, has encountered these very challenges. The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis. Sheel Saket is a Senior Data Science Manager at FIS in Chicago, Illinois.

Visualization 79

Visualization Insurance Cost-Benefit Finance 79

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems.

Data Lake 95

Data Lake Data Warehouse Publishing Structured Data 95

AWS Big Data

AUGUST 16, 2023

Conclusion In this post, we introduced a serverless CDC solution for semi-structured data using DynamoDB Streams and processing them in Iceberg tables. We demonstrated how to ingest semi-structured data in DynamoDB, identify changed data using DynamoDB Streams, and process them in Iceberg tables.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

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

Jet Global

OCTOBER 30, 2020

“Data lake” is a generic term that refers to a fairly new development in the world of big data analytics. Data lakes are oriented toward unstructured data and artificial intelligence. What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID. CustomerName.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

JULY 26, 2023

When I started a role as a leader for sustainability in Expert Labs , our professional technology services organization, I saw the potential for AI to help with energy efficiency, decarbonization , and waste reduction. Compute optimization: Data centers consume a huge amount of electricity.By

Optimization 78

Optimization Manufacturing Cost-Benefit Risk 78

Jet Global

NOVEMBER 5, 2020

Microsoft wants to drive the adoption of Azure Data Lakes, and it has a large customer base in need of financial and operational reporting. Data lakes are not a mature technology. 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

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

CDW Research Hub

JULY 22, 2019

Snowflake’s cloud-built data warehouse enables the data-driven enterprise with instant elasticity, secure data sharing, and per-second pricing across multiple clouds. With Snowflake, you can store, transform and analyze structured and semi-structured data together. Data migration and integration.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54