AWS Big Data

DECEMBER 4, 2024

SageMaker still includes all the existing ML and AI capabilities you’ve come to know and love for data wrangling, human-in-the-loop data labeling with Amazon SageMaker Ground Truth , experiments, MLOps, Amazon SageMaker HyperPod managed distributed training, and more.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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. Data democratization uses a fit-for-purpose data architecture that is designed for the way today’s businesses operate, in real-time.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Videos, pictures etc.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 105

Data Lake Snapshot Metadata Data Architecture 105

AWS Big Data

AUGUST 31, 2023

To upgrade your existing Athena engine to version 3 in your Athena workgroup, follow the instructions in Upgrade to Athena engine version 3 to increase query performance and access more analytics features or refer to Changing the engine version in the Athena console. For more details on Iceberg format versions, refer to Format Versioning.

Data Lake 107

Data Lake Data Warehouse Metadata Data Architecture 107

AWS Big Data

JANUARY 30, 2025

AWS Glue A data integration service, AWS Glue consolidates major data integration capabilities into a single service. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging. Its also serverless, which means theres no infrastructure to manage.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

AWS Big Data

SEPTEMBER 20, 2023

With this functionality, you’re empowered to focus on extracting valuable insights from their data, while AWS Glue handles the infrastructure heavy lifting using a serverless compute model. To get started today, refer to Developing AWS Glue jobs with Notebooks and Interactive sessions. Big Data Architect. Zach Mitchell is a Sr.

Interactive 102

Interactive Visualization Measurement Data Architecture 102

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. For more details, refer to Spark Release 3.3.0 runtime ( 3.5 amzn-8 Hive 2.39-amzn-2

Testing 87

Testing Data Lake Cost-Benefit Data Integration 87

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 121

Data Lake Data Warehouse Visualization Snapshot 121

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. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 111

Metadata Dashboards Metrics Visualization 111

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. For more information, refer to Download and Installation of NW RFC SDK.

Testing 83

Testing Data Integration Data Lake Enterprise 83

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics . 1: Multi-function analytics . The *Any*-house.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

NOVEMBER 13, 2023

As Gameskraft’s portfolio of gaming products increased, it led to an approximate five-times growth of dedicated data analytics and data science teams. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 104

Data Warehouse Analytics Data Lake Data Science 104

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Discover how you can use Amazon Redshift to build a data mesh architecture to analyze your data.

Data Warehouse 109

Data Warehouse Machine Learning Data-driven Data Lake 109

AWS Big Data

JANUARY 12, 2024

This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events. Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake.

Data Lake 108

Data Lake Cost-Benefit Visualization Structured Data 108

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Structured Data 75

AWS Big Data

JUNE 10, 2024

For detailed information on managing your Apache Hive metastore using Lake Formation permissions, refer to Query your Apache Hive metastore with AWS Lake Formation permissions. In this post, we present a methodology for deploying a data mesh consisting of multiple Hive data warehouses across EMR clusters.

Data Lake 96

Data Lake Metadata Data Warehouse Data Processing 96

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Leave the rest of the tabs with their default settings and choose Save.

Data Warehouse 98

Data Warehouse Interactive Data Architecture Data-driven 98

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

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. Neeraja is a seasoned Product Management and GTM leader, bringing over 20 years of experience in product vision, strategy and leadership roles in data products and platforms.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

AWS Big Data

JULY 31, 2024

In the current industry landscape, data lakes have become a cornerstone of modern data architecture, serving as repositories for vast amounts of structured and unstructured data.

Data Lake 112

Data Lake Marketing Data Processing Management 112

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Ontotext

APRIL 10, 2024

Knowledge graphs and semantic metadata Knowledge graphs (KGs) are the key to: Advanced Data Architecture & Models like Data Fabric, Data Mesh Unified Data Access Semantic Data Integration These fundamental capabilities of KGs enable them to bridge the chasm between information and knowledge in the DIKW pyramid.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 40

Technology Data Integration Enterprise Structured Data 40

BizAcuity

MAY 24, 2022

This is done to gain better visibility of the operations, and capture data points of interest for the clients. Reasons may vary from business to business but integration is the cornerstone for customer success. With cloud data integration, it gets easier to make reports across departments and data storage will never be an issue.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

APRIL 20, 2023

In a modern data architecture, unified analytics enable you to access the data you need, whether it’s stored in a data lake or a data warehouse. One of the most common use cases for data preparation on Amazon Redshift is to ingest and transform data from different data stores into an Amazon Redshift data warehouse.

Visualization 86

Visualization Data Warehouse Big Data Data Lake 86

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 Data-driven Metrics 52

AWS Big Data

JUNE 7, 2023

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much as the analytics world shifted to augmented analytics, the same is happening in data management. Here is a suggested note: Use Gartner’s Reference Model to Deliver Intelligent Composable Business Applications.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Ontotext

FEBRUARY 26, 2024

Bad Data Tax and the Data Bill of Rights So far, our discussion has been pretty theoretical, so we need a compelling business justification for moving in this direction. In the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Jet Global

MAY 1, 2023

that gathers data from many sources. Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

DECEMBER 2, 2024

More companies have realized there is an opportunity to integrate, enhance, and present this SaaS data to improve internal operations and gain valuable insights on their data. From there, they can perform meaningful analytics, gain valuable insights, and optionally push enriched data back to external SaaS platforms.

Data Lake 88

Data Lake Testing Data Integration Metadata 88

AWS Big Data

JANUARY 13, 2025

We cover batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS. Overview of solution AWS Glue is a serverless data integration service that simplifies data preparation and integration tasks for analytics, machine learning, and application development.

Visualization 91

Visualization Interactive Data-driven Data Architecture 91

Ontotext

NOVEMBER 11, 2024

This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content. Knowledge graphs help overcome these challenges by unifying data access, providing flexible data integration, and automating data management.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52