Smart Data Collective

MAY 11, 2023

AI apps can gather data by analyzing user behavior and interaction. App analytics provide valuable insights that help identify bottlenecks, improve user experience, and optimize marketing campaigns. By optimizing your mobile app for voice search, you can provide a more convenient shopping experience for your customers.

Cost-Benefit 98

Cost-Benefit Optimization Data-driven Marketing 98

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

AWS Big Data

MAY 16, 2024

First, the Airflow REST API support enables programmatic interaction with Airflow resources like connections, Directed Acyclic Graphs (DAGs), DAGRuns, and Task instances. Furthermore, the user’s permissions for interacting with the REST API are determined by the Airflow role assigned to them within Amazon MWAA.

Testing 86

Testing Interactive Metrics Management 86

Cloudera

AUGUST 3, 2021

Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk. Open source solutions reduce risk.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. SDK Feature overview The QuickSight SDK v2.0

Slice and Dice 77

Slice and Dice Dashboards Analytics Interactive 77

AWS Big Data

APRIL 25, 2024

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. Otherwise, it will check the metadata database for the value and return that instead.

Metadata 103

Metadata Data Processing Management Testing 103

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

SEPTEMBER 24, 2020

Well, generally speaking, Impala works best when you are interacting with a data mart, which is typically a large dataset with a schema that is limited in scope. We also see that Impala is a good choice for interactive, ad-hoc queries, especially if you have hundreds or thousands of users working on their own. . So, why choose?

Data Warehouse 68

Data Warehouse Metadata Interactive Dashboards 68

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. They are used in everything from robotics to tools that reason and interact with humans. Capture and document model metadata for report generation. Track models and drive transparent processes.

Risk 77

Risk Modeling Management Metadata 77

Cloudera

JANUARY 15, 2021

Impala has a longstanding reputation for high performance and concurrency, low latency for interactive queries, and the CPU efficiency of it’s C++ backend with dynamic code generation based on LLVM. Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). Benchmark Description.

Data Warehouse 92

Data Warehouse Cost-Benefit Consulting Interactive 92

AWS Big Data

NOVEMBER 16, 2023

Performance It is not uncommon for sub-second SLAs to be associated with data vault queries, particularly when interacting with the business vault and the data marts sitting atop the business vault. String-optimized compression The Data Vault 2.0 Support of transactional data lake frameworks Data Vault 2.0 is an insert-only framework.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

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. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Smart Data Collective

APRIL 5, 2022

Companies working on AI technology can use it to improve scalability and optimize the decision-making process. It allows data scientists to log, store, share, compare and search important metadata that is used to build models for data science applications. It is highly popular among companies developing artificial intelligence tools.

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

erwin

SEPTEMBER 3, 2020

Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data. We have to document how our systems interact, including the logical and physical data assets that flow into, out of and between them.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Cloudera

SEPTEMBER 29, 2020

This benchmark is run on the Interactive Query HDInsight cluster using the latest version. Running on highly optimized Kubernetes engines, CDW can quickly and automatically scale up and down based on actual query workload, providing optimum utilization of cloud (public as well as private) resources and budget.

Data Warehouse 116

Data Warehouse Metadata Data-driven Machine Learning 116

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. In the DataFlow Designer, you can create Test Sessions to turn the canvas into an interactive interface that gives you all the feedback you need to quickly iterate your flow design.

Testing 81

Testing Publishing Metadata Interactive 81

Cloudera

OCTOBER 15, 2021

Apache Ozone has added a new feature called File System Optimization (“FSO”) in HDDS-2939. With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. Conclusion. Further Reading.

Testing 86

Testing Measurement Optimization Metadata 86

Alation

MARCH 1, 2023

And, we have now moved on to getting people engaged with those two other aspects – ensuring that they understand the tech and policies, and understanding how they interact with the data – which is where Alation came in. We then moved onto making sure that from a technology perspective our tech stack was what we needed.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Text data served up via Solr’s powerful analytics engine and APIs.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. CTRs are easy to measure, but if you build a system designed to optimize these kinds of metrics, you might find that the system sacrifices actual usefulness and user satisfaction.

Marketing 362

Marketing Experimentation Metrics Testing 362

bridgei2i

DECEMBER 15, 2021

With significant adoption among industries as well as personal lives, AI is impacting enterprise transformation at scale, whilst changing the way humans interact with machines. Role of Metadata in Videos – AI in Ads for OTT. Artificial Intelligence (AI) has reached a state of pervasiveness in everyday life.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

AWS Big Data

AUGUST 21, 2023

Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale OpenSearch clusters in AWS to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite.

Metrics 89

Metrics Testing Strategy Metadata 89

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. from the business interactions), but if not available, then through confirmation techniques of an independent nature. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

FEBRUARY 20, 2020

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

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Cloudera

JUNE 18, 2022

As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

Smart Data Collective

JANUARY 5, 2021

Any data you obtain when someone interacts with your profile or content on LinkedIn, Facebook, Instagram, Twitter, or any other social media channel counts as social data. Click metadata can tell you what kinds of things they would like to see more. Specific metrics can vary from platform to platform. Lead Segmentation.

B2B 126

B2B Sales Marketing Big Data 126

CIO Business Intelligence

JUNE 23, 2022

As use cases matured, we saw the need for both efficient, interactive BI analytics and transactional semantics to modify data. It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics.

Data Lake 82

Data Lake Data Warehouse Machine Learning Cost-Benefit 82

IBM Big Data Hub

JULY 11, 2023

The anchor identity of the device along with metadata about the device itself, data about its locatio , and transactions made on its own behalf is its own unit of value. That particular data is valuable internally—providing insights to optimize fuel costs, vehicle refresh, route recommendations and general driver well-being.

IoT 55

IoT Internet of Things Interactive Data-driven 55

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. If data is the fuel driving opportunities for optimization, data mining is the engine—converting that raw fuel into forward motion for your business. Start future proofing your business today.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Jet Global

JULY 2, 2019

By removing the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics, Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. Future-Proofing your Data.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

MARCH 10, 2023

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The Data Catalog provides a central location to govern and keep track of the schema and metadata. Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

erwin

SEPTEMBER 6, 2021

With erwin Data Intelligence, organizations are improving time to value for key business initiatives such as digital transformation and cloud migration; optimizing regulatory and risk compliance efforts; and increasing enterprise data literacy.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

AWS Big Data

JANUARY 17, 2024

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. By identifying these changes, the query engine can optimize the query to process only the relevant data, significantly reducing the processing time and resource requirements.

Data Lake 92

Data Lake Snapshot Big Data Data-driven 92