AWS Big Data

DECEMBER 16, 2024

The product data is stored on Amazon Aurora PostgreSQL-Compatible Edition. Their existing business intelligence (BI) tool runs queries on Athena. Furthermore, they have a data pipeline to perform extract, transform, and load (ETL) jobs when moving data from the Aurora PostgreSQL database cluster to other data stores.

Visualization 96

Visualization Data Processing Testing Publishing 96

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

DECEMBER 4, 2024

Central to the success of this strategy is its support for each division’s autonomy and freedom to choose their own domain structure, which is closely aligned to their business needs. These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It is because you usually see Kafka producers publish data or push it towards a Kafka topic so that the application can consume the data.

Data Lake 130

Data Lake Insurance Data-driven Data Processing 130

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. This zero-ETL integration reduces the complexity and operational burden of data replication to let you focus on deriving insights from your data.

Analytics 66

Analytics Data Lake Metadata Data Warehouse 66

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

MAY 10, 2023

Yet if we come across an ERP that’s not necessarily mainstream, they’ll have challenges getting into the back end, and integrating and understanding the relational data to connect it to our central data lake. Business Intelligence, CIO, Digital Transformation, Enterprise Architecture, IT Leadership

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. Priyanjna Sharma.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

MAY 1, 2024

For those reasons, it was extremely difficult for Fujitsu to manage and utilize data at scale with Excel. Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Promote and expand the use of databases. Each role has sub-roles.

Dashboards 124

Dashboards Publishing Data-driven Cost-Benefit 124

CIO Business Intelligence

APRIL 8, 2025

Comparison of modern data architectures : Architecture Definition Strengths Weaknesses Best used when Data warehouse Centralized, structured and curated data repository. Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 128

Metrics Visualization Dashboards Publishing 128

CIO Business Intelligence

MAY 5, 2023

s enhanced “iteration on prompts” to feed scrubbed and formatted data for thousands of used cars into a DaVinci model. Following that, a small dataset was sent for editing and fine-tuning and the content was pumped into the DaVinci model for mass publishing and consumer consumption.

Digital Transformation 145

Digital Transformation Cost-Benefit Business Driver Machine Learning 145

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Data Lake 105

Data Lake Risk Marketing Data Warehouse 105

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 98

Analytics Data Warehouse Data Lake Metadata 98

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. Omid Vahdaty, Jutomate.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

FEBRUARY 20, 2020

Organizations who are so successful in their adoption of self-service analytics, that their own business intelligence (BI) evangelists worry that they’ve created an analytics “wild west.” When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

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

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. When the wave is complete, the people from that wave will move to another wave.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

SEPTEMBER 21, 2023

Satori anonymizes data on the fly, based on your requirements, according to users, roles, and datasets. The masking is applied regardless of the underlying database and doesn’t require writing code or making changes to your databases, data warehouses, and data lakes. Lisa Levy is a Content Specialist at Satori.

Data Warehouse 115

Data Warehouse Interactive Data Architecture Data-driven 115

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

Metrics 98

Metrics Data Warehouse Dashboards Snapshot 98

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Dashboards 52

AWS Big Data

JULY 19, 2023

We show how to perform extract, transform, and load (ELT), an integration process focused on getting the raw data from a data lake into a staging layer to perform the modeling. Report and analysis the data in Amazon Quicksight QuickSight is a business intelligence service that makes it easy to deliver insights.

Modeling 97

Modeling Sales Data Warehouse Snapshot 97

Cloudera

OCTOBER 26, 2017

Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Friction associated with getting a data sandbox has also resulted in the proliferation of spreadmarts , unmanaged data marts, or other data extracts used for siloed data analysis.

Cost-Benefit 43

Cost-Benefit Business Intelligence Data Warehouse Data Lake 43

CIO Business Intelligence

APRIL 18, 2023

2] AIOps can help identify areas for optimization using existing hardware by combing through a tsunami of data faster than any human ever could. 2] Enterprise Management Association, Network Management Megatrends 2022 [3] ibid This blog was published on blogs.arubanetworks.com on 03/27/23. Future proof with Wi-Fi 6E. Networking

IoT 52

IoT Internet of Things Data Lake Optimization 52

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Administrators can publish QuickSight applications on the Keycloak Admin console. Raji Sivasubramaniam is a Sr.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. AMC Networks is excited by the opportunity to capitalize on the value of all of their data to improve viewer experiences.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. in lieu of simply landing in a data lake.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Alation

JANUARY 26, 2023

Lack of data governance can summon a whole range of problems, including: Lack of consistency For data to be useful, it should be consistent across all areas. A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI).

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. Why Business Intelligence projects fail” (2009). Up-front Acknowledgements. Finches, Feathers and Apples (2018). [14].

Statistics 49

Statistics Metrics Data Quality Measurement 49

AWS Big Data

APRIL 17, 2025

Lets take an example of a retail company that started by storing their customer sales and churn data in their data warehouse for business intelligence reports. With massive growth in business, they need to manage a variety of data sources as well as exponential growth in data volume.

Analytics 105

Analytics Data Lake Data Warehouse Sales 105

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Interactive 111

Interactive Data Warehouse Metadata Data-driven 111

datapine

AUGUST 29, 2022

Due to this book being published recently, there are not any written reviews available. 4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52