AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 110

IoT Machine Learning Metadata Data-driven 110

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 123

Analytics Visualization Data Integration Cost-Benefit 123

AWS Big Data

JULY 18, 2024

OpenSearch also includes capabilities to ingest and analyze data. API-driven Interactions : All interactions in OpenSearch are API-driven, eliminating the need for manual file changes or Zookeeper configurations. As part of the migration, reconsider your data model. You then set a replica count using number_of_replicas.

Dashboards 114

Dashboards Testing Data-driven Visualization 114

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 130

Management Metadata Analytics Dashboards 130

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

DataKitchen

OCTOBER 25, 2022

Part 2: Introducing Data Journeys. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog.

Data Processing 114

Data Processing Visualization Data Lake Data Processing 114

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses. Become data-driven to succeed.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

AWS Big Data

DECEMBER 16, 2024

The need to integrate diverse data sources has grown exponentially, but there are several common challenges when integrating and analyzing data from multiple sources, services, and applications. First, you need to create and maintain independent connections to the same data source for different services.

Visualization 95

Visualization Data Processing Testing Publishing 95

AWS Big Data

AUGUST 19, 2024

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. Use case Consider a large ecommerce company that relies heavily on data-driven insights to optimize its operations, marketing strategies, and customer experiences.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Factory.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

AUGUST 9, 2024

As businesses strive to make informed decisions, the amount of data being generated and required for analysis is growing exponentially. This trend is no exception for Dafiti , an ecommerce company that recognizes the importance of using data to drive strategic decision-making processes. We started with 115 dc2.large

Data Lake 110

Data Lake Analytics Data Warehouse Data-driven 110

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 110

Dashboards Analytics Metadata Data Warehouse 110

AWS Big Data

JUNE 6, 2023

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. It simplifies your experience of monitoring and evaluating the quality of your data.

Data Quality 98

Data Quality Metrics Data-driven Visualization 98

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 110

IoT Data Warehouse Cost-Benefit Reporting 110

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?” Organizations have too much data. This is a summary article.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

OCTOBER 12, 2023

You can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. AWS Step Functions is a serverless orchestration service that enables developers to build visual workflows for applications as a series of event-driven steps.

Big Data 134

Big Data Data-driven Management Visualization 134

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 98

Data Integration Snapshot Testing Visualization 98

FineReport

APRIL 21, 2024

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. Embedded BI tools have emerged as a transformative force, seamlessly integrating analytical capabilities directly into existing software applications.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. And the Great BI Bake-Off is a perfect example: Four vendors (selected by their Gartner search popularity) took the stage in a live showdown of data viz expertise. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

AWS Big Data

SEPTEMBER 13, 2024

In recent years, driven by the commoditization of data storage and processing solutions, the industry has seen a growing number of systematic investment management firms switch to alternative data sources to drive their investment decisions. Each team is the sole owner of its AWS account.

Interactive 111

Interactive Strategy Cost-Benefit Data Governance 111

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

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

Octopai

AUGUST 11, 2024

Data flow lineage is crucial for anyone handling data within organizations. In essence, data flow lineage is indispensable for ensuring transparency, maintaining data quality, achieving compliance, enabling efficient troubleshooting, conducting impact analysis, and enhancing collaboration within organizations.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Testing 84

Testing Publishing Metadata Interactive 84

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Alation

JUNE 28, 2022

Collecting and using data to make informed decisions is the new foundation for businesses. The key term here is usable : Anyone can be data rich, and collect vast troves of data. This is where metadata, or the data about data, comes into play. A metadata management framework does the same for your data analysts.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Alation

FEBRUARY 2, 2023

Data product managers are in high demand these days. This makes it more important for aspiring data product managers to stay ahead of the competition. So what sets data product managers apart from the pack? This post will unpack the top 7 traits that successful data product managers have in common. Sounds exciting?

Management 52

Management Data-driven Visualization Strategy 52

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 71

Optimization Data Lake Cost-Benefit Reporting 71

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. Although Tricentis has amassed such data over a decade, the data remains untapped for valuable insights.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more.

Visualization 118

Visualization Data Lake Testing Data Governance 118

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and from third-party sources. Using Amazon DataZone lets us avoid building and maintaining an in-house platform, allowing our developers to focus on tailored solutions.

Analytics 118

Analytics Visualization Data Governance Data-driven 118

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98