AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. Create dbt models in dbt Cloud.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

datapine

MAY 2, 2023

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. Big data enables automated systems by intelligently routing many data sets and data streams.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Wayne Yaddow

FEBRUARY 26, 2025

AI is transforming how senior data engineers and data scientists validate data transformations and conversions. Artificial intelligence-based verification approaches aid in the detection of anomalies, the enforcement of data integrity, and the optimization of pipelines for improved efficiency.

Data Transformation 52

Data Transformation Testing Data-driven Data Quality 52

AWS Big Data

NOVEMBER 15, 2023

The CLEA dashboards were built on the foundation of the Well-Architected Lab. For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. The difference lies in when and where data transformation takes place. These ingested datasets are used as a source in CLEA dashboards.

Dashboards 107

Dashboards Analytics Metadata Data Warehouse 107

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

APRIL 30, 2024

This feature enables users to save calculations from a Tableau dashboard directly to Tableau’s metrics layer so they can monitor and track the information over time. Einstein Copilot for Tableau remains in beta, but Tableau announced two new features for the AI assistant as well: AI-assisted data transformation.

Analytics 96

Analytics Metrics Visualization Dashboards 96

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics includes the tools and techniques used to perform data analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift has launched a session reuse capability for the Data API that can significantly streamline multi-step, stateful workloads such as exchange, transform, and load (ETL) pipelines, reporting processes, and other flows that involve sequential queries. Building a serverless data processing workflow.

Data Warehouse 93

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 93

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. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 70

Risk Modeling Management Metadata 70

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 99

Dashboards Testing Data-driven Visualization 99

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

Jen Stirrup

SEPTEMBER 30, 2021

Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Modelling Data. Evaluating the Model.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse).

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

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. Log in to your Sisense environment with at least data designer privileges. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Their product is the data.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

OCTOBER 11, 2023

Key performance indicators (KPIs) of interest for a call center from a near-real-time platform could be calls waiting in the queue, highlighted in a performance dashboard within a few seconds of data ingestion from call center streams. Visualize KPIs of call center performance in near-real time through OpenSearch Dashboards.

Management 118

Management Metadata Analytics Dashboards 118

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 95

Data Lake Cost-Benefit Data-driven Dashboards 95

DataKitchen

OCTOBER 25, 2022

He thinks he can sell his boss and the CEO on this idea, but his pitch won’t go over well when they still have more than six major data errors every month. DataOps Observability Starts with Data Journeys. Jason considers his dashboard idea but quickly realizes the complexity of building such a system.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

DECEMBER 21, 2023

OpenSearch Service also has vector database capabilities that let you implement semantic search and Retrieval Augmented Generation (RAG) with large language models (LLMs) to build recommendation and media search engines. Choose the link under OpenSearch Dashboards URL. Choose Dashboards Management on the navigation menu.

Analytics 108

Analytics IT Data Lake Visualization 108

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. On the Datasets page, choose New data set.

Visualization 111

Visualization Dashboards Data-driven Gap analysis 111

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 80

Dashboards Data-driven Data Integration Data Lake 80

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 119

Data Warehouse Testing Data Quality Reporting 119

Smarten

AUGUST 13, 2024

The organization can leverage and change data workflows, reports, dashboards and predictive models without extensive coding or time investment. The incorporation of new technologies and capabilities will drive current and future user adoption and the successful implementation of analytics within the business user community.’

Analytics 59

Analytics Cost-Benefit Predictive Modeling Dashboards 59

AWS Big Data

JANUARY 30, 2025

Pattern 1: Data transformation, load, and unload Several of our data pipelines included significant data transformation steps, which were primarily performed through SQL statements executed by Amazon Redshift. The following Diagram 2 shows this workflow.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

IBM Big Data Hub

APRIL 14, 2023

By leveraging this technology, they developed custom budget models for sales performance, human resources planning, operating expenses, and a complete profit and loss statement. Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas.

Forecasting 67

Forecasting Sales Dashboards Reporting 67

AWS Big Data

SEPTEMBER 19, 2023

We decided to explore streaming analytics solutions where we can capture, transform, and store event streams at scale, and serve rule-based fraud detection models and machine learning (ML) models with milliseconds latency. To achieve cost efficiency, our team built a cost attribution dashboard based on AWS cost allocation tags.

Analytics 92

Analytics Risk Big Data Machine Learning 92

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 86

Data Warehouse Data Lake Optimization Data-driven 86

Sisense

MARCH 30, 2021

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. 9 is “dashboards will be replaced with automated, conversational, mobile, and dynamically generated insights customized to a user’s needs and delivered to their point of consumption.” Advanced data transformation with Custom Code.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. The data warehouse is highly business critical with minimal allowable downtime. Data engineers are crucial for schema conversion and data transformation, and DBAs can handle cluster configuration and workload monitoring.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The firm also worked on creating a solid pipeline from the data warehouse to the data lake.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Cloudera

FEBRUARY 8, 2021

Production ML Toolkit – Deploying, Serving, Monitoring, and Governance of ML models. Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization. Next step is to create our table in which the data will be stored in our database. Now, let’s start testing our model! and run it.

Machine Learning 75

Machine Learning Statistics Dashboards Modeling 75

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 Why is Choosing the Best BI Tools Important?

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

FineReport

APRIL 21, 2024

Lengthy Turnaround Time In the competitive landscape of analytics, swift delivery of insights is paramount to proving the value of data and analytics teams. The ability to create and deploy embedded dashboards quickly is essential for engaging clients and internal stakeholders. What Are the Main Benefits of Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

FineReport

JUNE 7, 2024

Through different types of graphs and interactive dashboards , business insights are uncovered, enabling organizations to adapt quickly to market changes and seize opportunities. Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52