AWS Big Data

MAY 23, 2024

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. This process is crucial for maintaining data integrity and avoiding duplication that could skew analytics and insights. csv" , header=True).createOrReplaceTempView("labeled")

Machine Learning 98

Machine Learning Interactive Recreation/Entertainment Data Integration 98

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake. reference", SUBSTRING(a."patient"."reference",

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.

Technology 246

Technology Management Data Lake IT 246

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

erwin

JULY 17, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis, according to IDC. The solution is data intelligence. It improves IT and business data literacy and knowledge, supporting enterprise data governance and business enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

erwin

AUGUST 31, 2023

Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies. Efficient Development : Accurate data models expedite database development, leading to efficient data integration, migration, and application development.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

AWS Big Data

MARCH 26, 2024

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. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

IBM Big Data Hub

AUGUST 4, 2023

In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used. By recognizing data as a product, it creates greater incentive to properly manage data.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

CIO Business Intelligence

MARCH 22, 2022

Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security. Refer to your Step 1 inventory of data resource ownership and accessibility.

Analytics 103

Analytics Key Performance Indicator Data Warehouse Data-driven 103

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. 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. For Glue version , choose your AWS Glue version.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

IBM Big Data Hub

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization.

Analytics 67

Analytics Optimization Data-driven Metrics 67

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Alation

FEBRUARY 13, 2020

To draw up the ShortList, Constellation Research’s Vice President and Principal Analyst Doug Henschen evaluated more than a dozen of the industry’s best data cataloging solutions, judging companies based on a combination of client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

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. Prerequisites You need the following prerequisites: An account in Google Cloud and your data path in Google Cloud Storage. Choose Run to run your job.

Big Data 85

Big Data Software Consulting Unstructured Data 85

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders. Basic formatting and readability of the data is standardized here.

Optimization 92

Optimization B2B Data Quality Sales 92

Alation

AUGUST 5, 2021

The abundance of data systems has also made the monitoring of complicated tasks even more challenging. Data governance practices Data governance is a data management system that adheres to an internal set of standards and policies for the collection, storage, and sharing of information.

Data Quality 52

Data Quality IT Data Governance Sales 52

David Menninger's Analyst Perspectives

NOVEMBER 21, 2018

Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds".

Data Lake 160

Data Lake Data Integration Data Governance Software 160

CIO Business Intelligence

JANUARY 24, 2024

Ensures all automated processes adhere to regulatory standards and maintain data integrity and security. CyberSecurity Tools, Encryption, User Access Management Presentation Layer Provides an interface for human interaction, displaying processed data and insights in an accessible format.

IoT 105

IoT Machine Learning Optimization Internet of Things 105

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

AWS Big Data

MAY 19, 2023

In these scenarios, customers looking for a serverless data integration offering use AWS Glue as a core component for processing and cataloging data. You can now consolidate run logs of AWS Glue jobs on the Airflow console to simplify troubleshooting data pipelines. For more information, refer to Parameters.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

CIO Business Intelligence

AUGUST 16, 2023

Snowflake’s Document AI is a LLM that runs within a secure, private environment, he says, without any risk that private data would be shipped off to an outside service or wind up being used to train the vendor’s model. “We We need to secure this data, and make sure it has access controls and all the standard data governance,” he says.

Modeling 95

Modeling Enterprise Cost-Benefit Data Science 95

AWS Big Data

JULY 19, 2023

Stage the source data Before we can create and load the dimensions table, we need source data. Therefore, we stage the source data into a staging or temporary table. This is often referred to as the staging layer , which is the raw copy of the source data. There are seven different dimension types.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

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. Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Store operating platform : Scalable and secure foundation supports AI at the edge and data integration.

Machine Learning 74

Machine Learning Manufacturing Cost-Benefit Deep Learning 74

Birst BI

FEBRUARY 13, 2018

Birst’s Networked approach to BI and analytics enables a single view of data, eliminating data silos. Decentralized teams and individual users can augment the corporate data model with their own local data, without compromising data governance. Mobile reporting, visualization, analysis.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

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.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. For this purpose, you can think about a data governance strategy. Because it is that important.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

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.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

O'Reilly on Data

DECEMBER 19, 2018

The history of data analysis has been plagued with a cavalier attitude toward data sources. That is ending; discussions of data ethics have made data scientists aware of the importance of data lineage and provenance. But these tools just build models, and we’ve seen that machine learning requires much more.

Machine Learning 258

Machine Learning Software Metadata Testing 258

Alation

JANUARY 25, 2022

The data catalog is a foundational layer of the data fabric. This zoomed-in version has references to corresponding vendor markets removed.). Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. But what does integration look like in action?

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

JANUARY 30, 2023

On the AWS Glue console, under Data Integration and ETL in the navigation pane, choose Jobs. load("s3://"+ args['s3_bucket']+"/fullload/") sdf.printSchema() # Write data as DELTA TABLE sdf.write.format("delta").mode("overwrite").save("s3://"+ Vivek Singh is Senior Solutions Architect with the AWS Data Lab team.

Insurance 82

Insurance Data Lake Data-driven Management 82

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52