Cloudera

AUGUST 26, 2021

Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . If created using the Filesystem interface, the intermediate prefixes ( application-1 & application-1/instance-1 ) are created as directories in the Ozone metadata store.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Keeping the Lights On with Automated Metadata Management. Not Yet CCPA Compliant?

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

Smart Data Collective

OCTOBER 13, 2021

Some solutions provide read and write access to any type of source and information, advanced integration, security capabilities and metadata management that help achieve virtual and high-performance Data Services in real-time, cache or batch mode. In forecasting future events. Virtualization goes beyond query federation.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Cloudera

AUGUST 3, 2021

Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. The last eighteen months is causing supply chain forecasters to rethink the definition and incorporate risk into the planning process. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

O'Reilly on Data

MAY 21, 2019

Modernize existing applications such as recommenders, search ranking, time series forecasting, etc. Metadata and artifacts needed for audits. Use ML to unlock new data types—e.g., images, audio, video. Tackle completely new use cases and applications.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

AWS Big Data

APRIL 2, 2024

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

Metadata 110

Metadata Metrics Data-driven Contextual Data 110

CIO Business Intelligence

MAY 6, 2025

Automated metadata scanning and stitching can provide that context as a first step in any integration effort. Operational decisions become more precise, customer interactions more relevant, and forecasting models more accurate. The age-old problem of siloed data means the understanding of data is also siloed.

Data Integration 52

Data Integration Metadata Data-driven Modeling 52

Jet Global

APRIL 5, 2021

Longview Transfer Pricing from insightsoftware is designed to achieve total harmony between your profitability targets, actuals and forecasted data, internal processes, and external auditors. Companies can apply different formulae here, including actual and forecast rates.

Cost-Benefit 98

Cost-Benefit Metadata Forecasting Manufacturing 98

datapine

MAY 29, 2019

While they are connected and cannot function without each other, as mentioned earlier, BI is mainly focused on generating business insights, whether operational or strategic efficiency such as product positioning and pricing to goals, profitability, sales performance, forecasting, strategic directions, and priorities on a broader level.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

erwin

APRIL 29, 2020

For example, the marketing department uses demographics and customer behavior to forecast sales. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata?

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

Octopai

JANUARY 21, 2020

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. The cube, supported by automated metadata management , allows you to report on cross-sections of the data and its history and context within minutes.

OLAP 81

OLAP Metadata Online Analytical Processing Data Quality 81

Andrew White

JANUARY 12, 2021

By 2023, ERP data will be the basis for 30% of AI-generated predictive analyses and forecasts. By 2024, organizations that utilize active metadata to enrich and deliver a dynamic data fabric will reduce time to integrated data delivery by 50% and improve the productivity of data teams by 20%.

Analytics 144

Analytics Metadata Enterprise Data-driven 144

AWS Big Data

FEBRUARY 1, 2023

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. We used the same AWS Glue jobs to further transform and load the data into the required S3 bucket and a portion of extracted metadata into DynamoDB.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

JULY 20, 2021

An example from retail: higher fidelity demand forecasting in a large leading global grocery retailer produced a 5% to 7% increase in sales by minimizing out-of-stocks and a 30% to 50% reduction of average out-of-stocks in stores – that’s millions of dollars for most retailers. GDP forecasts keep rising and falling.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

IBM Big Data Hub

APRIL 28, 2022

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. How does a data fabric impact the bottom line?

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

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. These sources encompass the AWS Cost and Usage Reports, Cost Explorer (and forecasting with Cost Explorer), Trusted Advisor, and Compute Optimizer.

Analytics 110

Analytics Dashboards Metadata Data Warehouse 110

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections. To achieve this, Aruba used Amazon S3 Event Notifications.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

Smart Data Collective

APRIL 14, 2021

They can also solve urgent issues, collect the data in one location, and even forecast possible future business outcomes based on the collected data. It comes with organizational features that support working in a large team, including metadata for tables. You need to know how to use business intelligence effectively in this field.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

CIO Business Intelligence

SEPTEMBER 26, 2023

By applying AI /ML, it forecasts energy and emissions so you can be proactive about meeting your sustainability goals. AIOps absorbs power consumption telemetry and calculates energy usage and carbon footprint at the organization, system, and workload levels.

IT 138

IT Key Performance Indicator Software Metadata 138

AWS Big Data

APRIL 24, 2025

Charlie, being an open source Apache Spark contributor, is excited that he can build Spark based processing with Amazon EMR to build ML forecasting models. Ava defines the user attributes as static IAM tags that could also include attributes stored in the identity provider (IdP) or as session tags dynamically to represent the user metadata.

Sales 91

Sales Data Lake Management Data-driven 91

AWS Big Data

JUNE 14, 2023

For example, AWS Professional Services launched Financial Insights Tool (FIT) 2 years ago, a QuickSight dashboard that reports project financials, project revenue leakage, and margin erosion by evaluating actuals and forecasts at any granularity. All datasets and dashboards in the same account provide us an opportunity to see the big picture.

Dashboards 104

Dashboards KPI Scorecard Metadata 104

IBM Big Data Hub

OCTOBER 4, 2023

Consider this, a forecast by IDC shows that global spending on AI will surpass $300 billion in 2026, resulting in a compound annual growth rate (CAGR) of 26.5% Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data. from 2022 to 2026.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

CIO Business Intelligence

DECEMBER 21, 2022

Defined as an enabler of frictionless access of data sharing in a distributed data environment, data fabric aims to help companies access, integrate, and manage their data no matter where that data is stored using semantic knowledge graphs, active metadata management, and embedded machine learning.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Enhance counterparty risk assessment.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Cloudera

MARCH 23, 2022

For example, a Jupyter notebook in CML, can use Spark or Python framework to directly access an Iceberg table to build a forecast model, while new data is ingested via NiFi flows, and a SQL analyst monitors revenue targets using Data Visualization. 2: Open formats. 3: Open Performance.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

Octopai

AUGUST 8, 2023

Battle Creek, Michigan — July 18, 2023 — Octopai, a global leader in data lineage and business intelligence automation, and Demand Chain AI, a pioneer in AI-driven demand forecasting and supply chain optimization, have today announced a strategic partnership.

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

CIO Business Intelligence

JULY 10, 2024

Businesses are investing great sums of money in generative AI – to the point that GenAI spending in 2025 will be nearly seven times greater than it was in 2022, according to IDC historical data and forecasts. Where is all that money going? Now, the question that CISOs must answer is whether spending on GenAI tools and services is worth it.

Risk 123

Risk Marketing Metadata Technology 123

CIO Business Intelligence

SEPTEMBER 12, 2024

The total amount of data created, captured, copied, and consumed globally is forecast to increase from 64.2 Once a document is scanned into InSight DXP, the AI engine uses metadata to determine the document type and apply the right retention rule so compliance teams can manage the information appropriately.”

Data-driven 106

Data-driven Management Cost-Benefit Risk 106

Cloudera

SEPTEMBER 15, 2022

Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores. Apache Ozone achieves this significant capability through the use of some novel architectural choices by introducing bucket type in the metadata namespace server.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

CIO Business Intelligence

SEPTEMBER 6, 2022

One of the early projects on which he was able to add value through a partnership between his data hub and one of the business unit spokes was in building a new demand forecasting tool. It took about nine weeks to set up the infrastructure, make the connection to the database, and index and understand the metadata.

IT 98

IT Forecasting Data Lake Data Warehouse 98

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. and applying and enriching metadata helps organizations take a big step toward innovating with generative AI.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

CIO Business Intelligence

MAY 25, 2022

PLM solutions vendor Propel says the methodology and solutions can help manufacturers maximize efficiency and profitability in numerous areas: Design and manufacturing integration: Production processes use a range of software applications for design and manufacturing.

Management 105

Management Manufacturing Cost-Benefit IoT 105

AWS Big Data

MAY 4, 2023

The OpenSearch Service domain stores metadata on the datasets connected at the Regions. A key feature of Lustre is that only the file system’s metadata is synced. Each night at 0:00 UTC, a data sync job prompts the Lustre file system to resync with the attached S3 bucket, and pulls an up-to-date metadata catalog of the bucket.

Data Processing 121

Data Processing Metadata Informatics Interactive 121

Cloudera

FEBRUARY 8, 2021

Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). First, the car sales data will be tied into the customer who purchased the car in order to get the customer metadata, such as contact information, age, salary, etc.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

AWS Big Data

MARCH 29, 2024

An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket.

Metrics 128

Metrics Visualization Dashboards Publishing 128

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102