DataKitchen

NOVEMBER 10, 2023

The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes: Numerous users and tools incessantly alter data, leading to a tumultuous environment. Monitor freshness, schema changes, volume, and column health are standard.

Data Quality 139

Data Quality Testing Data Lake Data Integration 139

AWS Big Data

FEBRUARY 29, 2024

Unstructured data is typically stored across siloed systems in varying formats, and generally not managed or governed with the same level of rigor as structured data. On the backend, the batch data engineering processes refreshing the enterprise data lake need to expand to ingest, transform, and manage unstructured data.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 111

Data-driven Data Lake Data Quality Data Governance 111

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. Finally, to interact with and visualize results from our solution, we build an interactive Streamlit web application running on AWS Fargate.

Data Lake 105

Data Lake Deep Learning Interactive Machine Learning 105

datapine

APRIL 15, 2020

17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. Testing will eliminate lots of data quality challenges and bring a test-first approach through your agile cycle.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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 97

Analytics Data Warehouse Data Lake Metadata 97

AWS Big Data

SEPTEMBER 12, 2024

This is just the tip of the iceberg, because what enables you to obtain differential value from generative AI is your data. This data is derived from your purpose-built data stores and previous interactions. Semantic context – Is there any meaningfully relevant data that would help the FMs generate the response?

Management 105

Management Analytics Data Lake Interactive 105

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 90

Data Quality Data Lake Data Warehouse Data-driven 90

Cloudera

MARCH 28, 2024

Among the most common challenges to achieving AI adoption at scale were data quality and availability (36%), scalability and deployment (36%), integration with existing systems and processes (35%), and change management and organizational culture (34%).

Data Architecture 94

Data Architecture Strategy Data Lake Data-driven 94

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies. But, What Happened to Hadoop?

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

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

CIO Business Intelligence

JULY 31, 2024

How do data and digital technologies impact your business strategy? At the core, digital at Dow is about changing how we work, which includes how we interact with systems, data, and each other to be more productive and to grow. Data is at the heart of everything we do today, from AI to machine learning or generative AI.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

CIO Business Intelligence

NOVEMBER 28, 2023

“The insights derived from this audio data have directly contributed to improving the game’s audio experience, ensuring that players are constantly emotionally engaged in the gameplay and interacting with the environment,” Konoval says. Games are dynamic, and so is the data they generate, Konoval says. Quality is job one.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

AWS Big Data

FEBRUARY 13, 2025

This plane drives users to engage in data-driven conversations with knowledge and insights shared across the organization. Through the product experience plane, data product owners can use automated workflows to capture data lineage and data quality metrics and oversee access controls.

Data Analytics 72

Data Analytics Analytics Modeling Data-driven 72

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

erwin

AUGUST 31, 2023

Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing. Select the FoodMartSales-AllUp dataset.

Metadata 115

Metadata Sales Data Lake Big Data 115

Ontotext

FEBRUARY 12, 2024

It proposes a technological, architectural, and organizational approach to solving data management problems by breaking up the monolithic data platform and de-centralizing data management across different domain teams and services. Once these domains interact and share data with each other, the mesh emerges.

IT 64

IT Metadata Data Quality Data Lake 64

Alation

NOVEMBER 2, 2022

“At Databricks, we’re focused on enabling customers to adopt the data lakehouse, and that’s an open data architecture that combines the best of the data warehouse and the data lake into one platform,” Ferguson says. “[The And data governance is critical to driving adoption.”.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

AWS Big Data

JULY 25, 2024

With AWS Glue, you can discover and connect to hundreds of different data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor ETL pipelines to load data into your data lakes.

Visualization 116

Visualization Management Data Integration Testing 116

AWS Big Data

DECEMBER 9, 2024

Equally crucial is the ability to segregate and audit problematic data, not just for maintaining data integrity, but also for regulatory compliance, error analysis, and potential data recovery. One of its key features is the ability to manage data using branches. It specifies which data is clean and ready to be provided.

Data Quality 126

Data Quality Publishing Snapshot Data Lake 126

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Alation

OCTOBER 19, 2022

“Alation’s modern, web-based, user-friendly interfaces provide a good set of workflows and functions to interact with the system intuitively,” the report reads. Alation’s usability goes well beyond data discovery (used by 81 percent of our customers), data governance (74 percent), and data stewardship / data quality management (74 percent).

Management 52

Management KPI Data Governance Reporting 52

IBM Big Data Hub

JULY 27, 2023

Data quality strongly impacts the quality and usefulness of content produced by an AI model, underscoring the significance of addressing data challenges. Summarization can help employees by providing them a brief of the customer’s problem and previous interactions with the company.

Management 54

Management Enterprise Modeling Data Quality 54

Alation

JANUARY 27, 2022

What Are the Top Data Challenges to Analytics? The proliferation of data sources means there is an increase in data volume that must be analyzed. Large volumes of data have led to the development of data lakes , data warehouses, and data management systems. Establishes Trust in Data.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

AWS Big Data

JUNE 12, 2023

Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. To avoid this, it’s recommended to use a data quality check mechanism to identify such anomalies and take appropriate action in case of unexpected behavior. The following diagram illustrates our solution architecture.

Management 98

Management Metadata Internet of Things Testing 98

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Statistics 49

Statistics Metrics Data Quality Measurement 49

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52