Introducing Precisely for Data Integrity
David Menninger's Analyst Perspectives
JANUARY 25, 2021
At the same time, organizations have become more disciplined about the data on which they rely to ensure it is robust, accurate and governed properly.
Data Governance Data Integration Data Lake Information 
Data governance in the age of generative AI
AWS Big Data
FEBRUARY 29, 2024
Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.
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How to Simplify Your Approach to Data Governance
Data Virtualization
JUNE 16, 2022
Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be.
Webinars
How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
Avoid generative AI malaise to innovate and build business value
CIO Business Intelligence
APRIL 1, 2024
Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. GenAI requires high-quality data. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Assess your readiness.
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Migrate data from Azure Blob Storage to Amazon S3 using AWS Glue
AWS Big Data
OCTOBER 20, 2023
Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")
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The Data Lakehouse Myth
Data Virtualization
FEBRUARY 22, 2023
Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.
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The Data Lakehouse Myth
Data Virtualization
FEBRUARY 22, 2023
Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.
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Straumann Group is transforming dentistry with data, AI
CIO Business Intelligence
FEBRUARY 16, 2023
Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.
Talend Data Fabric Simplifies Data Life Cycle Management
David Menninger's Analyst Perspectives
NOVEMBER 16, 2021
Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.
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Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks
erwin
JANUARY 11, 2019
Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.
My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023
Data Virtualization
MARCH 28, 2024
The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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Five benefits of a data catalog
IBM Big Data Hub
DECEMBER 16, 2022
So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.
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Data Management Predictions for 2024: Five Trends
Data Virtualization
MARCH 7, 2024
One thing is clear; if data-centric organizations want to succeed in. The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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Data Management Predictions for 2024: Five Trends
Data Virtualization
JANUARY 25, 2024
One thing is clear; if data-centric organizations want to succeed in 2024, The post Data Management Predictions for 2024: Five Trends appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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Compliance by Design: A How-To Primer
Data Virtualization
MARCH 18, 2024
Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.
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The Data Warehouse is Dead, Long Live the Data Warehouse, Part I
Data Virtualization
OCTOBER 18, 2022
The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. In times of potentially troublesome change, the apparent paradox and inner poetry of these.
Denodo Joins Forces with Presto
Data Virtualization
JUNE 22, 2023
The Denodo Platform is a logical data management platform, powered by. The post Denodo Joins Forces with Presto appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
Migrate data from Google Cloud Storage to Amazon S3 using AWS Glue
AWS Big Data
JULY 19, 2023
AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. On the product page for the connector, use the tabs to view information about the connector. Delete the data in the S3 buckets.
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ChatGPT and Data Fabric are Streamlining the Field of Business Data
Data Virtualization
JUNE 8, 2023
The post ChatGPT and Data Fabric are Streamlining the Field of Business Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
5 Trends in Financial Services That Will Change How You Think about Your Data
Data Virtualization
MARCH 23, 2023
The post 5 Trends in Financial Services That Will Change How You Think about Your Data appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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5 Trends in Financial Services That Will Change How You Think about Your Data
Data Virtualization
MARCH 23, 2023
The post <strong>5 Trends in Financial Services That Will Change How You Think about Your Data</strong> appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.
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The Data Warehouse is Dead, Long Live the Data Warehouse, Part II
Data Virtualization
NOVEMBER 24, 2022
The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part II appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.
Automatically detect Personally Identifiable Information in Amazon Redshift using AWS Glue
AWS Big Data
DECEMBER 15, 2023
With the exponential growth of data, companies are handling huge volumes and a wide variety of data including personally identifiable information (PII). PII is a legal term pertaining to information that can identify, contact, or locate a single person. For our solution, we use Amazon Redshift to store the data.
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Top Graph Use Cases and Enterprise Applications (with Real World Examples)
Ontotext
MARCH 8, 2023
Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.
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Themes and Conferences per Pacoid, Episode 8
Domino Data Lab
APRIL 3, 2019
Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.
Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics
AWS Big Data
MARCH 27, 2024
They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. To get started with this feature, see Querying the AWS Glue Data Catalog.
Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow
Alation
MAY 16, 2023
Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store.
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Create an end-to-end data strategy for Customer 360 on AWS
AWS Big Data
MARCH 26, 2024
This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.
Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow
Alation
MAY 16, 2023
Many organizations use data visualization to identify patterns or consumer trends and communicate findings to stakeholders better. Data Integration A data pipeline can be used to gather data from various disparate sources in one data store.
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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation
CIO Business Intelligence
MAY 24, 2022
One of the biggest challenges presented by having massive volumes of disparate unstructured data is extracting useable information and insights. store and process the data, typically in a data warehouse, where the data is modelled and schema applied. Oil and Gas.
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How data stores and governance impact your AI initiatives
IBM Big Data Hub
OCTOBER 12, 2023
Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. But the implementation of AI is only one piece of the puzzle.
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How AWS helped Altron Group accelerate their vision for optimized customer engagement
AWS Big Data
JULY 13, 2023
Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.
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Your 5-Step Journey from Analytics to AI
CIO Business Intelligence
MARCH 22, 2022
Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Set up unified data governance rules and processes.
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5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)
Cloudera
MARCH 23, 2022
Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.
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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan
Alation
AUGUST 11, 2022
Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Everybody’s trying to solve this same problem (of leveraging mountains of data), but they’re going about it in slightly different ways.
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Simplify AWS Glue job orchestration and monitoring with Amazon MWAA
AWS Big Data
MAY 19, 2023
Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.
Your guide to AWS Analytics at AWS re:Invent 2023
AWS Big Data
NOVEMBER 13, 2023
11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.
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Self-Serve Data Prep CAN Be Easy AND Sophisticated!
Smarten
AUGUST 4, 2023
If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. For more information about the benefits of self-serve data prep, see our blog: ‘ Self-Serve Data Preparation Improves Results.’
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The Enduring Significance of Data Modeling in the Modern Data-Driven Enterprise
erwin
AUGUST 31, 2023
In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The history The history of data modeling traces back to the early days of computing when databases were first developed.
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How Cloudera Data Flow Enables Successful Data Mesh Architectures
Cloudera
OCTOBER 7, 2021
In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. A (loose) coupling mechanism: A capability that enables data consumers to consume data in a reusable way (i.e.,
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Data democratization: How data architecture can drive business decisions and AI initiatives
IBM Big Data Hub
AUGUST 4, 2023
It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage. Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data.
How Data Governance Supports Analytics
Alation
JANUARY 27, 2022
As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. However, opening the floodgates of information comes with challenges. It can also help prevent data misuse. What is Data Analytics?
Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation
erwin
JULY 17, 2019
However, few organizations truly understand their data or know how to consistently maximize its value. If your business is like most, you collect and analyze some data from a subset of sources to make product improvements, enhance customer service, reduce expenses and inform other, mostly tactical decisions. Probably not.
What is Data Mapping?
Jet Global
FEBRUARY 23, 2024
Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.
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