erwin

SEPTEMBER 17, 2020

For example, when everything can be scanned using RFID technology, it can be documented and confirmed instantaneously, cutting hours of work down to seconds. With complex data architectures and systems within so many organizations, tracking data in motion and data at rest is daunting to say the least.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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 126

Data Warehouse Testing Data Quality Reporting 126

Cloudera

DECEMBER 21, 2021

Today it’s used by many innovative technology companies at petabyte scale, allowing them to easily evolve schemas, create snapshots for time travel style queries, and perform row level updates and deletes for ACID compliance. This enabled new use-cases with customers that were using a mix of Spark and Hive to perform data transformations. .

Snapshot 118

Snapshot Data-driven Optimization Management 118

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. When all linked accounts data is collected, the Shared Workflow state machine triggers an AWS Glue job for further data transformation.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

FEBRUARY 6, 2023

He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

Birst BI

FEBRUARY 25, 2020

Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 111

Enterprise Data Warehouse Data Lake Optimization 111

Ontotext

FEBRUARY 12, 2024

For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets. A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success.

ROI 52

ROI Measurement Data-driven Data Transformation 52

IBM Big Data Hub

JULY 5, 2023

It gained rapid popularity given its support for data transformations, streaming and SQL. But it never co-existed amicably within existing data lake environments. Fast forward almost 15 years and reality has clearly set in on the trade-offs and compromises this technology entailed.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

Peter James Thomas

OCTOBER 30, 2018

It may well be that one thing that a CDO needs to get going is a data transformation programme. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. It may be to introduce or expand Data Governance.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

IBM Big Data Hub

JANUARY 18, 2023

This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems. The data warehouse storage layer is removed from lakehouse architectures. Instead, continuous data transformation is performed within the BLOB storage. data virtualization) play a key role.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

FEBRUARY 6, 2023

He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

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 Key Features: Extensive library of pre-built connectors for diverse data sources.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

AWS Big Data

APRIL 5, 2023

In 2021, Showpad decided to take the next step in its data evolution and set forth the vision to power innovation, product decisions, and customer engagement using data-driven insights. This required Showpad to accelerate its data maturity as a company by mindfully using data and technology holistically to help its customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Data Virtualization

JANUARY 20, 2021

Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ll have read all about data virtualisation and you’ve.

Data Warehouse 59

Data Warehouse Data Architecture Data Transformation Big Data 59

CIO Business Intelligence

AUGUST 7, 2024

The 100 projects recognized this year come from a range of industries and implement a wide variety of technologies to solve intractable problems, open up new possibilities, and give enterprises a leg up on their competition. This enabled the team to expose the technology to a small group of senior leaders to test.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. And Manufacturing and Technology, both 11.6 It’s all about context. Financial Services represent 13.0

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MAY 12, 2025

Why AppsFlyer embraced a serverless approach for big data AppsFlyer manages one of the largest-scale data infrastructures in the industry, processing 100 PB of data daily, handling millions of events per second, and running thousands of jobs across nearly 100 self-managed Hadoop clusters.

Metrics 81

Metrics Cost-Benefit Metadata Data Lake 81

AWS Big Data

NOVEMBER 14, 2024

Many organizations specializing in communications and navigation surveillance technologies are required to support multi-modal transportation supply chain markets such as road, water, air, space, and rail. Data Architect at AWS with more than ten years of experience in Data & Analytics domain. Munim Abbasi is currently a Sr.

Data Lake 105

Data Lake Metadata Testing Data-driven 105