AWS Big Data

MAY 28, 2024

Run the notebook There are six major sections in the notebook: Prepare the unstructured data in OpenSearch Service – Download the SEC Edgar Annual Financial Filings dataset and convert the company financial filing document into vectors with Amazon Titan Text Embeddings model and store the vector in an Amazon OpenSearch Service vector database.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

AWS Big Data

JUNE 26, 2024

With this feature, you can how include Amazon DataZone in your existing data pipeline processes to catalog, share, and govern data. This requirement arises because the data and analytics associated with a particular use case can sometimes involve hundreds of files.

Data Lake 118

Data Lake Data Warehouse Unstructured Data Data Governance 118

O'Reilly on Data

DECEMBER 19, 2018

For any codebase, it can tell you where the code came from (provenance), and all the changes that led from the original commit to the version you downloaded. Salesforce’s solution is TransmogrifAI , an open source automated ML library for structured data. It captures source code, and all the changes to the source code.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. Ground generative AI.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

APRIL 14, 2022

Low code and no code options are making it easier for anyone to click a few buttons and produce a report or download a spreadsheet loaded with data, all without setting up an endless series of meetings with the developers. Companies with data turn to Snowflake to store and analyze it instead of building their own infrastructure.

Enterprise 138

Enterprise Marketing Measurement Data-driven 138

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

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Octopai

FEBRUARY 8, 2020

Read our eBook to learn more Download the eBook. Automated Discovery – A discovery module can take all sorts of metadata from files, databases, systems, structured data, and unstructured data – to bring that metadata into a repository, run data lineage on it, and discover what’s there.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

CIO Business Intelligence

OCTOBER 25, 2023

Enterprises will likely gravitate to data loss prevention (DLP) technologies that allow them to create policies preventing the leakage of sensitive data like source code, structured data like credit card information, and PII.

Enterprise 133

Enterprise Manufacturing Risk Data-driven 133

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 111

Data Quality Visualization Metadata Key Performance Indicator 111

Jet Global

NOVEMBER 5, 2020

Azure Data Lakes are highly complex and designed with a different fundamental purpose in mind than financial and operational reporting. For more on Azure Data Lakes, download this guide: “ Diving into Data Lakes: Is Microsoft’s Modern Data Warehouse Architecture Right for Your Business? ”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data. Free Download.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 98

Data Lake Data Warehouse Sales Data-driven 98

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF.

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

Jet Global

SEPTEMBER 4, 2020

Consider which of the following scenarios applies to your business: If your business needs financial and operational reporting but is not currently leveraging machine learning or other sources of mass unstructured or semi-structured data, avoid the ADLS approach until the technology matures—five to seven years from now. Download Now.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

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. We’re concerned where the data from the prompting might end up,” she says. “We We don’t want to take those risks.”

Modeling 139

Modeling Enterprise Sales Marketing 139

AWS Big Data

MARCH 7, 2023

You can use simple SQL to analyze structured and semi-structured data across data warehouses, data marts, operational databases, and data lakes to deliver the best price performance at any scale. Data in Amazon S3 can be easily queried in place using SQL with Amazon Redshift Spectrum.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

AWS Big Data

JUNE 21, 2023

The challenge comes when we need to ask more complex questions of our data, for example, what was the year-on-year quarterly sales growth by product broken down by country? The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. To house our data, we need to define a data model.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

Jet Global

FEBRUARY 18, 2020

People often forget his next statement: “90 percent of all that new data is unstructured.” So if we think historically about companies with an ERP, they’re typically using structured data (strictly defined and classified), and they’re not very proactive about pushing insights toward users.

Data-driven 64

Data-driven Machine Learning Cost-Benefit ROI 64

Jet Global

OCTOBER 30, 2020

What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID. Structured data are, by their very nature, orderly and predictable. Artificial intelligence is the solution to that problem, and that’s what data lakes are made to handle. CustomerName. Balance Due. XYZ Company.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

AWS Big Data

MARCH 28, 2023

You can download the dataset and open it in a code editor such as VS Code. When the Lambda function completes its invocation, you will be able to see the following sample employee dataset in the landing bucket. Run the AWS Glue job Confirm if you see the employee dataset in the path s3://scd-blog-landing/dataset/employee/.

Data Lake 101

Data Lake Testing Snapshot Big Data 101

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 122

Analytics IoT Metadata Internet of Things 122

Cloudera

OCTOBER 17, 2023

That includes first class support for data distribution (aka universal data distribution (link) ), edge data capture, stream filtering, independently modifiable stream processing that is accessible to analysts, and integration with data at rest for low cost accessible storage.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

FineReport

DECEMBER 27, 2021

Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. The data sources are enterprise-class and monolithic, requiring long read times and IT engagement to adjust to changes in business requirements. Free Download. Self-service BI. Easy to use.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

FineReport

JULY 18, 2022

Free Download. FineBI is a business intelligence tool for self-service big data analysis and data visualization. Except for the rows and columns, you can also display your data through graphs and charts. However, it has limitations on rows and columns, making it not suitable for analyzing a large amount of data.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

CDW Research Hub

JULY 31, 2019

Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. && python -m spacy download en. Let’s take a look at the folder structure and the files that were created during the scaffolding process. NLU is able to do two things?—?intent

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Jet Global

FEBRUARY 6, 2024

Logi Symphony offers support for all major data sources and, leveraging the expertise of Simba, our industry leading data connection solution, Logi Symphony has the unique ability to interact with data sources at a level completely unseen by most products.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Ontotext

DECEMBER 17, 2024

Thanks to the chatbots transparent error analysis, data engineers can develop and extend datasets and identify shortcomings in modeling or issues with data quality. Above all, LLM agents grounded with graph knowledge ensure the factuality, explainability, transparency, and data provenance of the output.

IT 59

IT Metadata Visualization Modeling 59

Smart Data Collective

MARCH 16, 2020

“Last year 44 million health-related applications were downloaded, while investments in the sector are expected to grow by 45%. The British company Equivital is dedicated to compiling data on people’s physical activity to understand the causes and effects it has on their health.

Deep Learning 95

Deep Learning Unstructured Data Cost-Benefit Big Data 95

Jet Global

MAY 9, 2024

How Implementing A Data Warehouse Solution Can Accelerate and Facilitate an ERP Upgrade Download Now Types of Data Pipelines Data pipelines are processes that automate the movement, transformation, and storage of data from source systems to destination systems.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 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

Jet Global

OCTOBER 1, 2024

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

FEBRUARY 14, 2022

Structuring data in a way that recognizes the importance of tax from the outset is far more efficient than a silo approach and common data models will be key enablers of a more holistic process.”. Download Now: Select Your Closest Time Zone -- Select One -- Business Email *.

Finance 52

Finance Recreation/Entertainment Reporting Software 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