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

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

CIO Business Intelligence

JANUARY 24, 2024

“An isolated data team structure can be particularly problematic for organizations looking to develop and scale an effective data strategy that drives business outcomes,” Vanguard’s Swann says. This empowers data users to make decisions informed by data and in real-time with increased confidence.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

JUNE 19, 2024

Amazon Redshift, a cloud data warehouse service, supports attaching dynamic data masking (DDM) policies to paths of SUPER data type columns, and uses the OBJECT_TRANSFORM function with the SUPER data type. SUPER data type columns in Amazon Redshift contain semi-structured data like JSON documents.

Data Warehouse 115

Data Warehouse Testing Sales Structured Data 115

CDW Research Hub

JULY 23, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Learn about current trends.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. 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.

Analytics 122

Analytics IoT Metadata Internet of Things 122

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse.

Data Warehouse 111

Data Warehouse Analytics Data Lake Data Science 111

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. Melody Yang is a Senior Big Data Solutions Architect for Amazon EMR at AWS. She is an experienced analytics leader working with AWS customers to provide best practice guidance and technical advice in order to assist their success in data transformation.

Big Data 105

Big Data Data Processing Interactive Testing 105

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

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. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Ontotext

AUGUST 24, 2023

The second approach is to use some Data Integration Platform. As an enterprise-supported tool, it has already established how to make all data transformations. Then the recommended approach is to use one of the many JSON to RDF transformation frameworks to produce RDF data.

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

AWS Big Data

JULY 31, 2023

You can use AWS Glue Studio to create jobs that extract structured or semi-structured data from a data source, perform a transformation of that data, and save the result set in a data target. This concludes creating data sources on the AWS Glue job canvas. Under Transforms , choose SQL Query.

Sales 52

Sales Data Warehouse Visualization Testing 52

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Note: All the data analysis reports in this article are created using the FineReport reporting tool. Leveraging the advanced enterprise-level web reporting tool capabilities of FineReport , we empower businesses to achieve genuine data transformation. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

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 Data Quality Metrics 52

CDW Research Hub

OCTOBER 20, 2020

Snowflake is a modern cloud data platform that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Have questions?

Dashboards 72

Dashboards Reporting Data Warehouse Structured Data 72

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 data products from the Business Vault and Data Mart stages are now available for consumers.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

DECEMBER 17, 2024

dbt provides a SQL-first templating engine for repeatable and extensible data transformations, including a data tests feature, which allows verifying data models and tables against expected rules and conditions using SQL. AWS offers several services that are compatible with dbt, including Amazon Redshift and AWS Glue.

Data Quality 91

Data Quality Testing Metrics Optimization 91

AWS Big Data

NOVEMBER 14, 2024

We use the built-in features of Data Firehose, including AWS Lambda for necessary data transformation and Amazon Simple Notification Service (Amazon SNS) for near real-time alerts. Each AWS account has one Data Catalog per AWS Region. Each Data Catalog is a highly scalable collection of tables organized into databases.

Data Lake 105

Data Lake Metadata Testing Data-driven 105

AWS Big Data

FEBRUARY 25, 2025

Based on the configuration file, the input data is fetched and technical validations are applied. If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

NOVEMBER 7, 2023

A simple drag-and-drop interface automates SQL code for you, eliminating the need for cumbersome IT projects to cleanse, transform and structure data. Empower your team to add new data sources on the fly.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52