datapine

JUNE 5, 2019

Exclusive Bonus Content: Ready to make analytics straightforward? Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. “It is a capital mistake to theorize before one has data.”– Arthur Conan Doyle. Data is all around us.

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

APRIL 28, 2023

They enable us to interact with computer systems and tell them how we want our data to be processed and interpreted to translate it into building code and designing systems. What Are Data Types A data type is an attribute that programmers use to tell a computer how to classify and interpret a piece of data.

Data-driven 200

Data-driven Reporting Visualization Interactive 200

datapine

MARCH 16, 2023

2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

AWS Big Data

NOVEMBER 29, 2024

Such analytic use cases can be enabled by building a data warehouse or data lake. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Visualization 101

Visualization Data Processing Data-driven Cost-Benefit 101

datapine

MAY 2, 2019

But while doing so is easy, a great dashboard still requires a certain amount of strategic planning and design thinking. Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. Knowing who your audience is will help you to determine what data you need.

Visualization 173

Visualization Dashboards Sales Data-driven 173

AWS Big Data

NOVEMBER 19, 2024

In the first part of this series , we demonstrated how to implement an engine that uses the capabilities of AWS Lake Formation to integrate third-party applications. In a GraphQL query, the client specifies how the data is to be structured when it’s returned by the server. Amplify streamlines full-stack app development.

Data Processing 92

Data Processing Metadata Publishing Testing 92

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. In many cases, even the chart designers are not picking the right visuals to convey the information in the correct way. Let’s start this journey by looking at a definition.

Visualization 177

Visualization Dashboards Sales Measurement 177

DataKitchen

AUGUST 5, 2021

In our last post, we summarized the thinking behind the data mesh design pattern. Last we’ll explore how DataOps can be paired with data mesh to mitigate these challenges. With a steady stream of requests for new data sources and new analytics, the centralized team managing the platform can quickly exceed their capacity to keep up.

Enterprise 246

Enterprise Management Data Processing Analytics 246

datapine

MAY 6, 2022

To help you reach that robust state, let’s look at a few top order management system tweaks designed to improve success rates and reduce error rates, which can save you significantly. It ensures everything flows correctly and effectively, minimizing issues and impacting the budget. It’s all about learning the tool and seeing what’s available.

Management 229

Management Sales Insurance Dashboards 229

datapine

SEPTEMBER 1, 2020

To answer the question, “how can I get the answers I need to solve the new business challenges I face every day?”, there are two answers that go hand in hand: good exploitation of your analytics, that come from the results of a market research report. How To Present Your Results: 3 Market Research Example Dashboards.

Reporting 247

Reporting Marketing KPI Dashboards 247

AWS Big Data

AUGUST 19, 2024

By using AWS Glue to integrate data from Snowflake, Amazon S3, and SaaS applications, organizations can unlock new opportunities in generative artificial intelligence (AI) , machine learning (ML) , business intelligence (BI) , and self-service analytics or feed data to underlying applications.

Analytics 116

Analytics Data-driven Data Integration Data Lake 116

datapine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. What Is An Example Of Big Data?

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

AWS Big Data

JUNE 2, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytic workloads. In this post, we show you how to use AWS native services to accelerate your migration from Google BigQuery to Amazon Redshift. The following architecture diagram shows how the solution works.

Metadata 131

Metadata Data Warehouse Big Data Analytics 131

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 124

Statistics Data Lake Optimization Data-driven 124

AWS Big Data

OCTOBER 12, 2023

Amazon EMR Serverless provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark and Apache Hive. In this post, we explain how you can orchestrate a PySpark application using Amazon EMR Serverless and AWS Step Functions.

Big Data 128

Big Data Data-driven Management Visualization 128

AWS Big Data

AUGUST 12, 2024

Amazon Redshift now allows you to programmatically access Amazon Redshift Advisor recommendations through an API , enabling you to integrate recommendations about how to improve your provisioned cluster performance into your own applications. You can expand each recommendation to see more details, and sort and group recommendations.

Cost-Benefit 102

Cost-Benefit Data Warehouse Optimization Data Lake 102

AWS Big Data

SEPTEMBER 28, 2023

If the use case is well defined and directly maps to one event bus, such as event streaming and analytics with streaming events (Kafka) or application integration with simplified and consistent event filtering, transformation, and routing on discrete events (EventBridge), the decision for a particular broker technology is straightforward.

Data-driven 138

Data-driven Metrics Publishing Management 138

Cloudera

JUNE 2, 2022

This unique perspective of helping customers move data as they traverse the hybrid cloud path has afforded Cloudera a clear line of sight to the critical requirements that are emerging as customers adopt a modern hybrid data stack. . This blog aims to answer two questions: What is a universal data distribution service?

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

AWS Big Data

AUGUST 8, 2024

In this post, we demonstrate how this feature works with an example. In this post, we demonstrate how this feature works with an example. For completeness and ease of navigation, you can explore all the following AWS Glue Data Quality blog posts. Later in the month, business users noticed a 25% drop in their sales.

Data Quality 115

Data Quality Statistics Visualization Metrics 115

AWS Big Data

JUNE 18, 2024

Multimodal search enables both text and image search capabilities, transforming how users access data through search applications. Multimodal search provides more flexibility in deciding how to find the most relevant information for your search.

Dashboards 116

Dashboards Metadata Modeling Visualization 116

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 121

Data Lake Management Metrics Data Warehouse 121

CIO Business Intelligence

SEPTEMBER 19, 2024

Agentic AIs, a form of technology designed to run specific functions within an organization without human intervention, are gaining traction as enterprises look to automate business workflows, augment the output of human workers, and derive value from generative AI. In addition, the power of agentic AIs is still in its infancy, they say.

IT 138

IT Cost-Benefit Consulting Modeling 138

datapine

OCTOBER 14, 2020

Take a comfortable seat, enjoy the power of interactive business dashboards , leave your spreadsheets behind, and utilize the advantages of interactive dashboard design and its features. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. Let’s get started. We offer a 14-day free trial.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

JULY 18, 2024

A major challenge is enabling cross-organization discovery and access to data across these multiple data lakes, each built on different technology stacks. This blog post introduces Amazon DataZone and explores how VW used it to build their data mesh to enable streamlined data access across multiple data lakes.

Data Lake 128

Data Lake Publishing Metadata Data-driven 128

DataRobot

JANUARY 20, 2022

The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities. Shifting to Proactive Healthcare Delivery with AI. The Case for Change. Building data communities.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smart Data Collective

MARCH 14, 2022

As companies strive to meet these expectations, data analytics has become an essential aspect of modern UX design. You will need to know how to leverage website analytics tools to perform these tests effectively. One of the UX variables that you should test with website analytics is the use of exit intent popups.

Analytics 115

Analytics Data mining Testing Sales 115

AWS Big Data

MAY 24, 2024

Apache Spark is a powerful big data engine used for large-scale data analytics. In this post, we deep dive into the internal details of the connector and show you how to use it to consume and produce records from and to Kinesis Data Streams using Amazon EMR. Starting with Amazon EMR 7.1,

Metadata 115

Metadata Interactive Business Objectives Management 115

datapine

JANUARY 6, 2022

2) How To Interpret Data? Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. How To Interpret Data? Table of Contents. 1) What Is Data Interpretation? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

AWS Big Data

MAY 28, 2024

In this post, we show how to build a Q&A bot with RAG (Retrieval Augmented Generation). Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data.

Unstructured Data 113

Unstructured Data Data Warehouse Structured Data Testing 113

AWS Big Data

OCTOBER 9, 2023

Also, businesses sometimes want to make data available to external applications but aren’t sure how to do so securely. In this post, we demonstrate how to build an application that can extract data from a data lake through a GraphQL API and deliver the results to different types of users based on their specific data access privileges.

Data Lake 131

Data Lake Testing Big Data Management 131

AWS Big Data

APRIL 3, 2023

You can also integrate AWS services like Amazon EMR , Amazon Athena , Amazon SageMaker , AWS Glue , AWS Lake Formation , and Amazon Kinesis to take advantage of all of the analytic capabilities in the AWS Cloud. Amazon Redshift RSQL is a native command-line client for interacting with Amazon Redshift clusters and databases.

Data Warehouse 105

Data Warehouse Testing Data Lake Data-driven 105

CIO Business Intelligence

JULY 13, 2022

This unique perspective of helping customers move data as they traverse the hybrid cloud path has afforded Cloudera a clear line of sight to the critical requirements that are emerging as customers adopt a modern hybrid data stack. . This blog aims to answer two questions: What is a universal data distribution service?

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

IBM Big Data Hub

JANUARY 26, 2024

Our team announced different product capabilities designed to simplify your teams’ ability to observe, debug, remediate and enhance your entire stack—integrating observability practices and telemetry data seamlessly into your entire software development lifecycle. Learn more in our announcement blog.

Metrics 84

Metrics Testing Data Processing Interactive 84

AWS Big Data

JULY 25, 2024

This post explains how to migrate from Data Pipeline to alternate AWS services to serve the growing needs of data practitioners. Migrating workloads to AWS Glue AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources.

Visualization 113

Visualization Management Data Integration Testing 113

Occam's Razor

MAY 19, 2014

" Or, "I read this blog, Bounce Rate is the only one!" So, how do we fix this problem in a responsible manner? How do we get them to care and not just dump people on your site (mobile or desktop)? There is unlimited amount of data thrown off our digital existences. (Or Why not just measure Profit?"

Metrics 160

Metrics Key Performance Indicator Analytics Marketing 160

DataKitchen

JULY 27, 2023

Azure Databricks Workflows : An Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. You can use it for big data analytics and machine learning workloads. Azure Databricks, a big data analytics platform built on Apache Spark, performs the actual data transformations. Is it overkill?

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. In this post, we show how to create and query views on federated data sources in a data mesh architecture featuring data producers and consumers. Let’s dive into the solution.

Big Data 96

Big Data Data Architecture Data Lake Interactive 96