Ontotext

MARCH 20, 2024

Machine learning (ML): Gain deeper insights from your data with advanced algorithms for data-driven decision-making. Natural Language Processing (NLP): Understand and interpret the meaning of text data to extract valuable insights. This allows your teams to make informed decisions based on real data, not just intuition.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

MARCH 13, 2024

You can modify the Lambda function to fetch additional vehicle information from a separate data store (for example, a DynamoDB table or a Customer Relationship Management system) to enrich the data, before storing the results in an S3 bucket. In this model, the Lambda function is invoked for each incoming event.

Analytics 95

Analytics IoT Metadata Internet of Things 95

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. The first step is to navigate to the “Data” tab and create a new live model.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

FineReport

APRIL 21, 2024

Limited Interactivity Even after overcoming logistical and analytical hurdles to deploy embedded dashboards, the challenges persist. Empowering client-facing analysts to drive customization without extensive backend involvement is crucial for overcoming the limitations of traditional BI tools and enhancing interactivity.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

JULY 26, 2023

In this post, we assume the following three accounts: Pipeline account – This hosts the end-to-end pipeline Dev account – This hosts the integration pipeline in the development environment Prod account – This hosts the data integration pipeline in the production environment If you want, you can use the same account and the same Region for all three.

Data Integration 73

Data Integration Snapshot Testing Visualization 73

AWS Big Data

JANUARY 17, 2024

Next, we enable Lake Formation by changing the default permission model. Choose Data Catalog settings under Administration in the navigation pane. Next, we create an AWS Cloud9 interactive development environment (IDE). Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. Choose Create key pair.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

Ontotext

APRIL 4, 2019

Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

CIO Business Intelligence

JUNE 29, 2022

Taking the broadest possible interpretation of data analytics , Azure offers more than a dozen services — and that’s before you include Power BI, with its AI-powered analysis and new datamart option , or governance-oriented approaches such as Microsoft Purview. Azure Data Factory. Azure Synapse Analytics. Analytics, Microsoft Azure

Data Lake 113

Data Lake Analytics Data Warehouse Machine Learning 113

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: How do you use these models?

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

OCTOBER 11, 2023

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources.

Management 106

Management Metadata Analytics Dashboards 106

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97

IBM Big Data Hub

JANUARY 18, 2023

Furthermore, data warehouse storage cannot support workloads like Artificial Intelligence (AI) or Machine Learning (ML), which require huge amounts of data for model training. For these workloads, data lake vendors usually recommend extracting data into flat files to be used solely for model training and testing purposes.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

JANUARY 17, 2023

As data science is growing in popularity and importance , if your organization uses data science, you’ll need to pay more attention to picking the right tools for this. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Sisense

AUGUST 6, 2020

As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? What data transformations are needed from your data scientists to prepare the data? When building your data model, it’s vital to avoid both underfitting and overfitting.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. Data Requirements. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault. Data Vault 2.0

Enterprise 86

Enterprise Data Warehouse Data Lake Optimization 86

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

JUNE 17, 2022

Figure 3: A scalable, robust syslog data pipeline powered by CDF-PC’s flow deployments with Inbound Connections. Kafka REST Proxy for streaming data. Apache Kafka is a popular open-source messaging platform that heavily relies on the push model to ingest data from producers into topics.

Cost-Benefit 97

Cost-Benefit IoT Data Warehouse Manufacturing 97

Domino Data Lab

AUGUST 20, 2019

Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models. It is a framework for approaching ML as well as providing techniques for extracting features from raw data that can be used within the models. Feature Engineering Terminology and Motivation.

Testing 68

Testing Modeling Interactive Measurement 68

AWS Big Data

FEBRUARY 6, 2023

Operationalizing machine learning (ML) is another growing use case, where data has to be transformed and normalized before it can be loaded into an ML model. In both use cases, the data pipeline is preparing the data for consumption by ingesting data from different sources and transforming it through a series of steps.

Management 86

Management Interactive Metadata Publishing 86

bridgei2i

SEPTEMBER 3, 2020

Ronobijay: Sure, I think it would, you know, what used to be anathema till a few months back, you know, data transformation is real now, right? It’s a real-time interaction. So what kind of application areas do you see for intelligent operations in the next few months? Now that is changing.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

Cloudera

OCTOBER 14, 2020

Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. Setting up the cluster to organization hierarchy based resource allocation model. Background. Why choose K8s for Apache Spark. Acknowledgments.

Machine Learning 119

Machine Learning Management Big Data Optimization 119

AWS Big Data

FEBRUARY 21, 2023

Solutions Architect – AWS SafeGraph is a geospatial data company that curates over 41 million global points of interest (POIs) with detailed attributes, such as brand affiliation, advanced category tagging, and open hours, as well as how people interact with those places.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 104

Data Lake Management Metrics Data Warehouse 104

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. Business analysts use SageMaker Canvas to build ML models and generate predictions without needing to write code.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

Cloudera

OCTOBER 11, 2021

Modak Nabu relies on a framework of “Botworks”, a series of micro-jobs to accomplish various data transformation steps from ingestion to profiling, and indexing. Cloudera Data Engineering within CDP provides : Fully managed Spark-on-Kubernetes service that hides the complexity running production DE workloads at scale.

Data Lake 97

Data Lake Cost-Benefit Data-driven Dashboards 97

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Cost-effective pricing and comprehensive supporting services, maximizing value.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. That hard, ongoing work includes integrating siloed data, modeling, and understanding it, as well as maintaining and securing it over time.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

CIO Business Intelligence

JANUARY 24, 2024

Exhibit 2 – Harnessing Collective Intelligence: Exploring Architectural Models in Agent Swarm Automation Supplied High-level layer-based architecture for Business Process Automation Decisions about how software is structured can greatly impact how it works and evolves over time. AI, ML Decision-Making Layer Make decisions based on insights.

IoT 116

IoT Machine Learning Optimization Internet of Things 116

IBM Big Data Hub

JUNE 15, 2023

watsonx.data supports a variety of query engines Starting with Presto and Spark, watsonx.data provides for a breadth of workload coverage, ranging from big-data exploration, data transformation, AI model training and tuning, and interactive querying. It will leverage watsonx.ai

Data Warehouse 87

Data Warehouse Data Lake Optimization Data-driven 87

CIO Business Intelligence

APRIL 30, 2024

“But to us, it’s more than just having a data strategy; it’s also about building a great foundation of a data culture.” That’s where Tableau sees Pulse and Einstein Copilot for Tableau — a generative AI assistant that gives users the ability to interact with Tableau using natural language — coming in.

Analytics 96

Analytics Metrics Visualization Dashboards 96

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. The data products from the Business Vault and Data Mart stages are now available for consumers.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. With QuickSight, we pay for usage.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Forget the one-size-fits-all approach. Chatflows are the key to unlocking the true potential of AI.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52