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

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. detector = _lambda.DockerImageFunction( scope=self, id="Converter", # Dockerfile in.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Business metadata is sometimes referred to as external metadata attributed to the business aspects of a data asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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

datapine

APRIL 28, 2023

They enable us to interact with computer systems and tell them how we want our data to be processed and interpreted to translate it into building code and designing systems. In this post, we will introduce you to the data type definition, provide some insight into why you need them as well as a list of the most common ones.

Data-driven 200

Data-driven Reporting Visualization Interactive 200

Ontotext

JULY 24, 2023

Supercomputers (and other components of infrastructure) along with new approaches to data architecture (with billions of parameters) are needed. Another concern relates to the definition of ‘data constraints.’ But the interfaces are simplistic – and users must consider how to enforce data policy on shared LLM.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Octopai

FEBRUARY 8, 2020

But when you have a complete set of BI tools , you can get to know your data from multiple angles and drive improved decisions on how to use the data. . Data lineage is incomplete without the business layer provided by an Automated Business Glossary. And the bottom line? Essential to compliance for GDPR.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

CIO Business Intelligence

OCTOBER 19, 2023

Disparate data sources Data from different sources comes in multiple formats, such as Excel, JSON, CSV, etc., For example, two data sources may have different data types of the same field or different definitions for the same partner data. or databases such as Oracle, MongoDB, MySQL, etc.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

AWS Big Data

JANUARY 6, 2025

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. Create a table with the following Data Definition Language (DDL).

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Ontotext

OCTOBER 14, 2021

Investment firms, including one of Ontotext’s clients, spend enormous sums every year buying data from brokers, while also producing original analyses and relying on coverage from news media, especially in regions where raw numbers are harder to find. See figure 1.). Mock Knowledge Graph for New Delhi Ventures.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Ontotext

NOVEMBER 29, 2024

And, for automation to happen, the existing regulatory documents have to be converted from their original textual form into structured data and linked to the models where they apply. This has resulted in heterogeneous models created in various applications and stored in multiple data formats.

Modeling 59

Modeling Structured Data Technology Data Transformation 59

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Control your entire procurement operation.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data.

Data mining 144

Data mining Data-driven Statistics OLAP 144

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

JULY 28, 2023

To date, JLL has been developing classic AI models using cleaned and structured data in table format, Morin says. Currently, the company’s IT experts train algorithms to extract the most structured data on its leases; this data is then fed into the AI model.

Structured Data 98

Structured Data Data-driven Software Modeling 98

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

CIO Business Intelligence

JANUARY 24, 2024

With nearly 800 locations, RaceTrac handles a substantial volume of data, encompassing 260 million transactions annually, alongside data feeds from store cameras and internet of things (IoT) devices embedded in fuel pumps.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

FineReport

JUNE 24, 2021

Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities. Business Intelligence Solutions Definition. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Ontotext

DECEMBER 15, 2022

Connecting the dots of data of all types. To begin with, Fantastic Finserv has to handle a wide variety of data. This includes traditional structured data such as: Reference data – the data used to relate data to information outside of the organization.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

CIO Business Intelligence

MAY 21, 2024

We’re leveraging the large graphical models with complex structured data, establishing those interrelationships causation and correlation,” McGuinness says. MakeShift joins companies such as Medico, HSBC, Spirit Halloween, Taager.com, Future Metals, and WIO in deploying Ikigai Labs’ no-code models for tabular and time-series data.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

CIO Business Intelligence

NOVEMBER 16, 2023

We’ll definitely work with different providers and different models,” she says. So RAG allows enterprises to separate their proprietary data from the model itself, making it much easier to swap models in and out as better models are released. After all, they are, by definition, quite large. Things are changing week by week.

Modeling 139

Modeling Enterprise Sales Marketing 139

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Data Warehouse 103

Data Warehouse Cost-Benefit Unstructured Data Optimization 103

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 87

Cost-Benefit Big Data Technology Metadata 87

AWS Big Data

MARCH 2, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data. You can also customize the dashboard to meet your business requirements.

Visualization 98

Visualization Dashboards Data Warehouse Metrics 98

Juice Analytics

MAY 1, 2021

It is a skill that combines elements of artistic expression and structured methods. Then we will discuss how to structure data stories to guide your audience through data. Part 1: Lessons in Data Storytelling from Pixar Pixar is the gold standard in storytelling. This lesson reminds us of “flawed” data points.

Slice and Dice 133

Slice and Dice Recreation/Entertainment Structured Data Dashboards 133

Octopai

SEPTEMBER 21, 2020

A crucial part of every company’s business intelligence (BI) is its data dictionary. When you have a well-structured data dictionary, you provide BI teams with an easy way to track and manage metadata throughout the entire enterprise. A data dictionary is essentially a one-stop-shop for all of these terms and definitions.

Metadata 52

Metadata Enterprise Structured Data Business Intelligence 52

AWS Big Data

OCTOBER 2, 2023

The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type. With the SUPER data type and PartiQL language, Amazon Redshift extends its capabilities for semi-structured data analysis.

Cost-Benefit 114

Cost-Benefit Metadata Structured Data Data-driven 114

erwin

OCTOBER 24, 2019

. • Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source. Structuring and deploying data sources – Connect physical metadata to specific data models, business terms, definitions and reusable design standards.

Metadata 104

Metadata Management Data-driven Data Architecture 104

erwin

APRIL 18, 2019

An effective data governance initiative should enable just that, by giving an organization the tools to: Discover data: Identify and interrogate metadata from various data management silos. Harvest data: Automate the collection of metadata from various data management silos and consolidate it into a single source.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Big Data Technology Metadata 75

AWS Big Data

AUGUST 15, 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. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.

Data Quality 110

Data Quality Visualization Metadata Key Performance Indicator 110

AWS Big Data

AUGUST 31, 2023

Hence, automatic notifications are more often required in order to accelerate data ingestion, facilitate monitoring and provide accurate tracking about the process. Amazon Redshift is a fast, fully managed, cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Warehouse 110

Data Warehouse Data-driven Testing Business Intelligence 110

Alation

FEBRUARY 20, 2020

By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52