datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

datapine

SEPTEMBER 27, 2022

The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. The book covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 75

Data Quality Data Lake Visualization Data-driven 75

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

erwin

FEBRUARY 13, 2020

Other benefits of automating data governance and metadata management processes include: Better Data Quality – Identification and repair of data issues and inconsistencies within integrated data sources in real time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

datapine

MAY 21, 2019

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. These tools can easily merge different data sets on the fly without the need of restructuring databases or setting up a data warehouse. Welcome to the future.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Modern technologies allow the creation of data orchestration pipelines that help pool and aggregate dark data silos. Data sense-making.

IT 135

IT Metadata Data-driven Data Governance 135

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. The data sources include 150+ files including 10-15 mandatory files per region ingested in various formats like xlxs, csv, and dat. In addition, they use AWS Glue jobs for orchestrating validation jobs and moving data through the data warehouse.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration 97

Data Integration Data Lake Statistics Data-driven 97

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

TDAN

FEBRUARY 1, 2022

In this blog, we will discuss a common problem for data warehouses that are designed to maintain data quality and provide evidence of accuracy. Without verification, the data can’t be trusted. Enter the mundane, but necessary, task of data reconciliation. Fortunately, it doesn’t have to be.

Data Warehouse 59

Data Warehouse Data Quality IT Data Governance 59

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Cloudera

AUGUST 26, 2020

Gluent’s Smart Connector is capable of pushing processing to Cloudera, thereby reducing the storage and compute footprint on traditional data warehouses like Oracle. This allows our customers to reduce spend on highly specialized hardware and leverage the tools of a modern data warehouse. . Certified Data Quality Partner.

Machine Learning 84

Machine Learning Big Data Data Warehouse Data-driven 84

Jet Global

JULY 11, 2019

Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Cloudera

AUGUST 30, 2022

For state and local agencies, data silos create compounding problems: Inaccessible or hard-to-access data creates barriers to data-driven decision making. Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Forrester ). Gartner ).

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

Alation

AUGUST 4, 2022

A key challenge of legacy approaches involved data quality. How could you ensure data was valid and accurate, and then follow through on new insights with action? It got people realizing that data is a business tool, and that technologists are the custodians of that data,” points out New Zealand CIO Anthony McMahon.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

DataKitchen

JANUARY 19, 2022

DataKitchen acts as a process hub that unifies tools and pipelines across teams, tools and data centers. DataKitchen could, for example, provide the scaffolding upon which a Snowflake cloud data platform or data warehouse could be integrated into a heterogeneous data mesh domain.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback. Read why the future of data lakehouses is open.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

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 70

Data Quality Data Lake Data Warehouse Data-driven 70

erwin

MARCH 8, 2019

Therefore, the organization needed to catalog the data it acquires from suppliers, ensure its quality, classify it, and then sell it to customers. The company wanted to assemble the data in a data warehouse and then provide controlled access to it. This, among other safeguards, ensures data quality.

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Data Virtualization

JANUARY 21, 2025

However, companies are still struggling to manage data effectively, to implement GenAI applications that deliver proven business value. The post OReilly Releases First Chapters of a New Book about Logical Data Management appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 52

Management Data Integration Technology Data Warehouse 52

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Metadata 102

Metadata Machine Learning Unstructured Data Data Lake 102

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Andrew White

DECEMBER 4, 2019

If you read my blog regularly then you know I rarely write about IT vendors. The only time I have blogged about vendors was to comment on their messages or call out an interesting and contrary observation. This acquisition followed another with Mulesoft, a data integration vendor. That’s the way it is.

Digital Transformation 64

Digital Transformation Data Quality Data Integration Data Warehouse 64

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

IBM Big Data Hub

APRIL 27, 2022

Since its uniquely metadata-driven, the abstraction layer of a data fabric makes it easier to model, integrate and query any data sources, build data pipelines, and integrate data in real-time. This improves data engineering productivity and time-to-value for data consumers. What’s a data mesh?

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools.

Data Quality 83

Data Quality Testing Data Warehouse Unstructured Data 83

erwin

FEBRUARY 28, 2019

When you have the ability to understand all of the information related to a piece of data, you have more confidence in how it is analyzed, used and protected. Data governance doesn’t take place at a single application or in the data warehouse.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Automate the data collection and cleansing process. Jim Tyo added that in the financial services world, agility is critical. Take a show-me approach.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Find Trusted Data.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

APRIL 14, 2021

Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. . Precisely Data Integration, Change Data Capture and Data Quality tools support CDP Public Cloud as well as CDP Private Cloud. Why should technology partners care about CDE? References: [link].

Data Warehouse 84

Data Warehouse Data Processing Machine Learning Data Quality 84