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.

Slice and Dice 81

Slice and Dice Dashboards Analytics Interactive 81

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 108

Data Warehouse Testing Data Quality Reporting 108

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 78

Dashboards Statistics Data Collection Business Intelligence 78

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 107

Management Metadata Analytics Dashboards 107

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

Risk 79

Risk Modeling Management Metadata 79

Cloudera

AUGUST 8, 2022

These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data. Using CDW with Iceberg. Time travel.

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 91

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. This is the Data Mart stage.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The company also used the opportunity to reimagine its data pipeline and architecture.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? How Can I Build a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Factory. The reason Azure has so many analytics services is so you can build your entire stack there. Microsoft.

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Data Lake Analytics Data Warehouse Machine Learning 116

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

JULY 17, 2023

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting.

Machine Learning 69

Machine Learning Data Warehouse Modeling Cost-Benefit 69

Sisense

MAY 14, 2019

They have given data science teams access to a cloud platform with capabilities like cloud-native data integration and pipeline, advanced analysis with SQL, R, and Python, and integration with production cloud machine learning systems. Analytic Builders: Unite! The day of the builder has arrived. Analytic builders of the world: Unite!

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

CIO Business Intelligence

JANUARY 24, 2024

Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. IoT, Web Scraping, API, IDP, RPA Data Processing Data Pipelines and Analysis Layer Employ data pipelines with algorithms to filter, sort, and interpret data, transforming raw information into actionable insights.

IoT 115

IoT Machine Learning Optimization Internet of Things 115

CIO Business Intelligence

AUGUST 3, 2023

In the past, First Service Credit Union’s Chief data officer Ty Robbins struggled to integrate data from the legacy, non-relational, and often proprietary tabular databases on which many credit unions run.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

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 90

Analytics Metrics Visualization Dashboards 90

Jet Global

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

OCTOBER 30, 2023

This shift toward these stand-alone business intelligence tools is motivated by a need for rapid, informed decision-making in the competitive business landscape, allowing organizations to adapt swiftly to market changes and optimize their processes for better outcomes.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. This is in contrast to traditional BI, which extracts insight from data outside of the app.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

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Data Warehouse Reporting Data Transformation Sales 52