AWS Big Data

APRIL 3, 2024

If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

Alation

FEBRUARY 20, 2020

How recently the data was updated. What the mapping is of technical metadata to business descriptions. Alation Connect synchronizes metadata, sample data, and query logs into the Alation Data Catalog. We decided to address these needs for SQL engines over Hadoop in Alation 4.0.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL. He is passionate about data and emerging technologies in analytics.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Ontotext

JANUARY 10, 2024

The larger an organisation, the more complex it will naturally be, needing more people and technologies to serve a growing customer base – PwC, Is your organisation too complex to secure? Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset. You might notice that this differs slightly from traditional ETL.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

IBM Big Data Hub

JANUARY 18, 2023

The purpose of the data fabric is to make data available wherever and whenever it is needed, abstracting away the technological complexities involved in data movement, transformation and integration, so that anyone can use the data. Some key characteristics of data fabric are: A network of data nodes.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

SEPTEMBER 6, 2023

or higher Appropriate AWS credentials for interacting with resources in your AWS account. In these cases, you can extend the architecture with a buffering technology like Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams between API Gateway and Lambda. or higher Apache Maven version 3.8.4

Testing 98

Testing Metadata Cost-Benefit Management 98

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. They fail to get a grip on their data.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

AWS Big Data

NOVEMBER 16, 2023

The RDV organizes data into three key types of tables: Hubs – This type of table represents a core business entity such as a customer. Each record in a hub table is married with metadata that identifies the record’s creation time, originating source system, and unique business key.

Enterprise 85

Enterprise Data Warehouse Data Lake Optimization 85

Alation

FEBRUARY 20, 2020

Curation allows active management of the data sets that are available in the EDM, selects and and qualifies data sets, describes each one and manages all metadata. Cataloging exposes data sets for data shoppers, including descriptions and metadata and provides a view into the inventory of curated data sets.

Data Warehouse 52

Data Warehouse Metadata Data Lake Software 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Components of a Data Mesh. difficulty to achieve cross-organizational governance model).

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 84

Finance Metadata Big Data Recreation/Entertainment 84

IBM Big Data Hub

JULY 5, 2023

Fast forward almost 15 years and reality has clearly set in on the trade-offs and compromises this technology entailed. Their fast adoption meant that customers soon lost track of what ended up in the data lake. Data governance remains an unexplored frontier for this technology.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

BI-Survey

FEBRUARY 6, 2020

Today’s data-literate users want governed and scalable self-service BI functions to answer critical business questions and to get the most out of their data assets. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI. Improve customer orientation through modern technology.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52