AWS Big Data

MAY 30, 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. The system had an integration with legacy backend services that were all hosted on premises.

Data Warehouse 102

Data Warehouse Data Lake Cost-Benefit Structured Data 102

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

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password') or later installed. OutputKey=='HiveSecretName'].OutputValue" OutputKey=='HiveSecretName'].OutputValue"

Big Data 94

Big Data Data Processing Interactive Testing 94

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

CIO Business Intelligence

JULY 29, 2022

The program hosts regular meetings and get-togethers for cohorts so they can check in on their skills and career development and even connect with leaders through an ongoing speaker series. Investing in future leaders.

Data Lake 96

Data Lake Software Data Processing Structured Data 96

CIO Business Intelligence

JUNE 14, 2023

Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

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. 2) The data warehouse.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 117

Statistics Data Lake Optimization Data-driven 117

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Lastly, real-time processing and movement of multi structured data including prompts and embeddings is critical for harnessing the transformative power of AI.

Data-driven 78

Data-driven IoT Enterprise Data Warehouse 78

CIO Business Intelligence

NOVEMBER 16, 2023

Locally run open source models Boston-based Ikigai Labs offers a platform that allows companies to build custom large graphical models, or AI models designed to work with structured data. If AArete used a hosted model and connected to it via API, trust issues come up. We don’t want to take those risks.”

Modeling 139

Modeling Enterprise Sales Marketing 139

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

IBM Big Data Hub

NOVEMBER 3, 2023

Unlike magnetic storage (such as HDDs and floppy drives) that store data using magnets, solid-state storage drives use NAND chips, a non-volatile storage technology that doesn’t require a power source to maintain its data. What is NVMe?

Cost-Benefit 72

Cost-Benefit Internet of Things Enterprise Technology 72

Ontotext

NOVEMBER 2, 2023

In spite of all the activity, the data paradigm hasn’t evolved much. Organizations are still managing data using relational technology invented in the 1970’s. While relational databases are the best fit for managing structured data workloads, they are not good for ad hoc inquiry and scenario-based analysis.

IT 69

IT Cost-Benefit Data-driven Technology 69

Sisense

OCTOBER 6, 2020

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. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers.

Data-driven 103

Data-driven Advertising Metadata Data Architecture 103

Ontotext

SEPTEMBER 15, 2020

Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Ontotext

MAY 18, 2020

Behind the scenes of linking histopathology data and building a knowledge graph out of it. Together with the other partners, Ontotext will be leveraging text analysis in order to extract structured data from medical records and from annotated images related to histopathology information.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

MARCH 13, 2024

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. To query the data with Athena, complete the following steps: On the Athena console, open the query editor.

Analytics 112

Analytics IoT Metadata Internet of Things 112

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Final Thoughts.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

MARCH 26, 2024

With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale. Data warehouse Data warehouses are efficient in consolidating structured data from multifarious sources and serving analytics queries from a large number of concurrent users.

Data Strategy 80

Data Strategy Strategy Data Warehouse Prescriptive Analytics 80

Alation

OCTOBER 28, 2021

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

CDW Research Hub

JULY 31, 2019

Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

CDW Research Hub

AUGUST 14, 2019

As seen from the config above, the “DucklingHTTPExtractor” is expected to be running at the specified host and port. The ultimate goal of natural language generation (NLG) is to teach models to turn structured data into natural language, which we can then use to respond to the user in a conversation. Edit the “config.yml” file.

Interactive 53

Interactive Modeling Machine Learning Testing 53

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake 75

Data Lake Machine Learning Data Architecture Data-driven 75

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This contextualization is possible thanks to RAG.

Management 78

Management Metrics Data Processing Data Lake 78

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The following diagram shows the high-level data platform architecture before the optimizations.

Data Lake 106

Data Lake Data Warehouse B2B Data-driven 106

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 123

Metadata Cost-Benefit Enterprise Interactive 123