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. In the next section, we dive into the optimal approach for deserialization.

Cost-Benefit 88

Cost-Benefit Metadata Structured Data Management 88

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Iceberg also helps guarantee data correctness under concurrent write scenarios. Utilize Athena OPTIMIZE command to compact these small files.

Data Lake 74

Data Lake Metadata Testing Snapshot 74

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. Consider data types. Focus on scalability.

Unstructured Data 63

Unstructured Data IT Manufacturing Visualization 63

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications.

Management 82

Management IT Machine Learning Metrics 82

IBM Big Data Hub

JULY 5, 2022

Back in the 1960s and 70s, vast amounts of data were stored in the world’s new mainframe computers—many of them IBM System/360 machines—and had become a problem. Finally, 13 years after Codd published his paper, IBM Db2 on z/OS was born, and 10 years after that the first IBM Db2 database for LUW was released. . They were expensive.

Data Lake 90

Data Lake Data Warehouse Publishing Structured Data 90

FineReport

FEBRUARY 5, 2020

To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Publish and share analysis content. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

OCTOBER 17, 2023

Kafka-centric approaches leave a lot to be desired, most notably operational complexity and difficulty integrating batch data, so there is certainly a gap to be filled. Streaming data absolutely has a tremendous role to play in generative AI, in fine tuning foundational models, optimizing prompts, contextualizing and augmenting outputs, etc.

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

Sisense

JUNE 30, 2020

Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them. And the data is as granular as the patient lists at individual family doctors’ surgeries. Her debut novel, The Book of Jeremiah , was published in 2019. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

JUNE 26, 2020

For example, before users can effectively and meaningfully engage with robust business intelligence (BI) platforms, they must have a way to ensure that the most relevant, important and valuable data set are included in analysis. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Ontotext

MAY 5, 2023

Here, the ability of knowledge graphs to integrate diverse data from multiple sources is of high relevance. As you can see from the slide below, knowledge graphs can provide a single access point for various types of data such as structured data, knowledge organization systems, transactional data and signals from unstructured content.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Jet Global

NOVEMBER 7, 2023

How BICC Wins Out Over BIP For your Oracle Cloud-based reporting team, using Oracle Business Intelligence Cloud Connector (BICC) is the method Oracle recommends for extracting medium to high volumes of data. The alternative to BICC is BI Publisher (BIP)​. Empower your team to add new data sources on the fly.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

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

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). This method uses GZIP compression to optimize storage consumption and query performance.

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. However, data copy and duplication are allowed considering various consumption needs in terms of formats and latency.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. The first one is Schema.org: millions of web pages are tagged with semantic annotations to enable a much better web search experience.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Jet Global

MAY 9, 2024

ELT can simplify the data pipeline by reducing the number of steps and tools involved, but it may rely on the destination system’s ability to handle complex transformations effectively. In an ETL process, data transformations can be optimized before loading, which may improve performance for data-intensive transformations.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Ontotext

NOVEMBER 2, 2023

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

NOVEMBER 25, 2020

How can users quickly pull up historical trails, what results were generated, what steps were involved, and compare against external text data? Innovate on serviceability and optimize utilization. A quick and easy way to publish results to others, to accelerate results through active collaboration, even across organizational borders.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

FEBRUARY 14, 2022

Digital technology provides the only realistic way of rendering large volumes of data into a usable form in a practical timeframe. 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.”.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Data discoverability. Data fabric promotes data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52