Data Transformation and Unstructured Data

Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

AUGUST 9, 2024

“So much of these processes require data that are unstructured schedules on wiki or SharePoint, technical manuals in PDF, list of vegan restaurants, for instance, and gen AI excels at finding value with unstructured data,” Baier says.

Data Transformation

Data Transformation Machine Learning Data Lake Dashboards

SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere accesses and integrates both SAP and non-SAP data sources into end-users’ data flows, including on-prem data warehouses, cloud data warehouses and lakehouses, relational databases, virtual data products, in-memory data, and applications that generate data (such as external API data loads).

Data Warehouse

Data Warehouse Metadata Digital Transformation Machine Learning

From Blob Storage to SQL Database Using Azure Data Factory

Analytics Vidhya

APRIL 29, 2022

Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. The data-driven workflow in ADF orchestrates and automates the data movement and data transformation.

Data-driven

Data-driven Data Science Data Transformation Data Integration

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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8 data strategy mistakes to avoid

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy

Data Strategy Strategy Unstructured Data Data Governance

Ensuring Data Transformation Quality with dbt Core

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation

Data Transformation Testing Unstructured Data Data Quality

Making OT-IT integration a reality with new data architectures and generative AI

CIO Business Intelligence

FEBRUARY 20, 2024

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture

Data Architecture Unstructured Data Manufacturing IT

Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse

Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough.

Visualization

Visualization Cost-Benefit Big Data Prescriptive Analytics

Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

APRIL 8, 2025

Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data. Low cost, flexibility, captures diverse data sources. Easy to lose control, risk of becoming a data swamp. Exploratory analytics, raw and diverse data types.

Data Quality

Data Quality Data-driven Key Performance Indicator Metadata

7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

JUNE 29, 2022

But the features in Power BI Premium are now more powerful than the functionality in Azure Analysis Services, so while the service isn’t going away, Microsoft will offer an automated migration tool in the second half of this year for customers who want to move their data models into Power BI instead. Azure Data Factory.

Data Lake

Data Lake Analytics Data Warehouse Machine Learning

Talk Data to Me: Why Employee Data Literacy Matters

erwin

MARCH 26, 2020

Increased data variety, balancing structured, semi-structured and unstructured data, as well as data originating from a widening array of external sources. Reducing the IT bottleneck that creates barriers to data accessibility.

Data-driven

Data-driven Unstructured Data Enterprise Machine Learning

Addressing the Three Scalability Challenges in Modern Data Platforms

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. .

Data Processing

Data Processing Data Warehouse Enterprise Visualization

How to Include BI in Your 2020 Budget

Sisense

DECEMBER 12, 2019

Again: business intelligence is no longer optional for understanding data and gaining a competitive edge. No competitive business is still using Excel to crunch large, scattered and unstructured data sets? No employee has a week to kill cleaning up data so it all makes sense together. Those days are over.

Business Intelligence

Business Intelligence Software Data-driven Visualization

Why The Public Sector Needs Data Governance

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Improve data visibility.

Data Governance

Data Governance Metadata Data-driven Unstructured Data

Drive Growth with Data-Driven Strategies: Introducing Zenia Graph’s Salesforce Accelerator

Ontotext

MARCH 20, 2024

The Bridge to Unified Data and Growth Imagine a world where your sales and marketing teams can effortlessly access and utilize data from various sources – LinkedIn, ZoomInfo, DBpedia, Yahoo Finance, and even your internal data sources – all within the familiar interface of Salesforce.

Data-driven

Data-driven Strategy Sales Data Integration

Transforming Big Data into Actionable Intelligence

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

Big Data IoT Data-driven Data Warehouse

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 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.

Modeling

Modeling Big Data IoT Data Warehouse

Use fuzzy string matching to approximate duplicate records in Amazon Redshift

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools.

Data Quality

Data Quality Testing Data Warehouse Unstructured Data

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake

Data Lake Analytics Snapshot Data Quality

Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization

Optimization Data Lake Cost-Benefit Reporting

Mastering Data Analysis Report and Dashboard

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

Dashboards Reporting Advertising Statistics

What is a Data Pipeline?

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

Data Lake Data Warehouse Business Intelligence Machine Learning

Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

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

Dashboards Data Lake Reporting Cost-Benefit

Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

NOVEMBER 7, 2023

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats.

Enterprise

Enterprise Data Warehouse Operational Reporting Reporting

Enable Image Analysis with Cloudera’s New Accelerator for Machine Learning Projects Based on Anthropic Claude

Cloudera

NOVEMBER 15, 2024

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data.

Machine Learning

Machine Learning Unstructured Data Visualization Data Transformation

3 steps to get your data AI ready

CIO Business Intelligence

MARCH 26, 2025

New technology became available that allowed organizations to start changing their data infrastructures and practices to accommodate growing needs for large structured and unstructured data sets to power analytics and machine learning.

Data Quality

Data Quality Forecasting Unstructured Data Data-driven

Automating Data Warehouses in the Era of AI, Data Products and Data Lakehouses

BI-Survey

MARCH 6, 2025

While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation. However, caution is advised since accuracy, timeliness, and other aspects of data quality depend on the quality of data pipelines.

Data Warehouse

Data Warehouse Metadata Unstructured Data Data-driven

Hybrid big data analytics with Amazon EMR on AWS Outposts

AWS Big Data

JANUARY 29, 2025

This configuration allows you to augment your sensitive on-premises data with cloud data while making sure all data processing and compute runs on-premises in AWS Outposts Racks. Additionally, Oktank must comply with data residency requirements, making sure that confidential data is stored and processed strictly on premises.

Big Data

Big Data Data Analytics Analytics Interactive

Data Leaders Brief

Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport