AWS Big Data

OCTOBER 29, 2024

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). However, the initial version of CDH supported only coarse-grained access control to entire data assets, and hence it was not possible to scope access to data asset subsets.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

AWS Big Data

DECEMBER 16, 2024

The need to integrate diverse data sources has grown exponentially, but there are several common challenges when integrating and analyzing data from multiple sources, services, and applications. First, you need to create and maintain independent connections to the same data source for different services.

Visualization 95

Visualization Data Processing Testing Publishing 95

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Download the 2021 DataOps Vendor Landscape here.

Testing 304

Testing Machine Learning Consulting Data Science 304

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

AUGUST 8, 2024

Today’s data lakes are expanding across lines of business operating in diverse landscapes and using various engines to process and analyze data. Traditionally, SQL views have been used to define and share filtered data sets that meet the requirements of these lines of business for easier consumption.

Data Lake 120

Data Lake Sales Marketing Big Data 120

O'Reilly on Data

MARCH 23, 2023

Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog. Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog.

IT 349

IT Modeling Testing Risk 349

AWS Big Data

AUGUST 19, 2024

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. Use case Consider a large ecommerce company that relies heavily on data-driven insights to optimize its operations, marketing strategies, and customer experiences.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 118

Data Lake Data Warehouse Management Risk 118

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 131

Data Lake Testing Big Data Management 131

AWS Big Data

MAY 29, 2024

To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators. Additionally, this user builds Amazon QuickSight visualizations for the data in Redshift tables.

Data Lake 115

Data Lake Enterprise Management Business Intelligence 115

AWS Big Data

JULY 18, 2024

Over the years, organizations have invested in creating purpose-built, cloud-based data lakes that are siloed from one another. A major challenge is enabling cross-organization discovery and access to data across these multiple data lakes, each built on different technology stacks.

Data Lake 129

Data Lake Publishing Metadata Data-driven 129

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Are the Key Benefits of Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

AWS Big Data

AUGUST 27, 2024

Director of Product, Salesforce Data Cloud. In today’s ever-evolving business landscape, organizations must harness and act on data to fuel analytics, generate insights, and make informed decisions to deliver exceptional customer experiences. What is Salesforce Data Cloud? This post is co-authored by Rajkumar Irudayaraj, Sr.

Data Lake 110

Data Lake Analytics Data-driven Management 110

DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance.

Data Lake 115

Data Lake Snapshot Metadata Optimization 115

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams.

Statistics 130

Statistics Data Lake Optimization Data-driven 130

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? Central IT Data Teams focus on standards, compliance, and cost reduction. Recession: the party is over.

Metadata 130

Metadata Testing Data Science Risk 130

AWS Big Data

OCTOBER 5, 2023

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery.

Data Warehouse 117

Data Warehouse Machine Learning Data Integration Data-driven 117

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 105

Data Lake Finance Sales Management 105

erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated.

Data Governance 144

Data Governance Metadata Risk Strategy 144

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

AWS Big Data

MARCH 2, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. and later supports the Apache Iceberg framework for data lakes. Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3.

Data Lake 136

Data Lake Data Processing Metadata Snapshot 136

AWS Big Data

SEPTEMBER 7, 2023

Customers of all sizes and industries use Amazon Simple Storage Service (Amazon S3) to store data globally for a variety of use cases. Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging.

Metadata 115

Metadata Dashboards Metrics Visualization 115

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

Metadata 118

Metadata Data Lake Publishing Data Governance 118

AWS Big Data

JULY 25, 2024

AWS Data Pipeline helps customers automate the movement and transformation of data. With Data Pipeline, customers can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. Some customers want a deeper level of control and specificity than possible using Data Pipeline.

Visualization 115

Visualization Management Data Integration Testing 115

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. It runs miscellaneous services to facilitate investigation, mitigation, and containment for security operations. The platform ingests more than 1 PB of data per day, more than 10 million events per second, and more than 200 different log types.

Optimization 110

Optimization Data Lake Management Key Performance Indicator 110

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Given this, Oppenheimer & Co. Complexity.

Data Governance 110

Data Governance Management Metadata Risk Management 110

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems.

Data Lake 105

Data Lake Metadata Cost-Benefit Management 105

AWS Big Data

NOVEMBER 6, 2023

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. We’re happy to introduce runtime roles for EMR Studio Workspaces.

Data Lake 110

Data Lake Sales Management Testing 110

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 115

Data Lake Snapshot Big Data Data-driven 115

erwin

MARCH 30, 2020

Data intelligence has a critical role to play in the supercomputing battle against Covid-19. While leveraging supercomputing power is a tremendous asset in our fight to combat this global pandemic, in order to deliver life-saving insights, you really have to understand what data you have and where it came from.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

SEPTEMBER 26, 2024

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced.

Data Governance 115

Data Governance Enterprise Management Data Lake 115

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog.

Data Processing 114

Data Processing Visualization Data Lake Data Processing 114

AWS Big Data

JUNE 26, 2024

Last week, we announced the general availability of custom AWS service blueprints , a new feature in Amazon DataZone allowing you to customize your Amazon DataZone project environments to use existing AWS Identity and Access Management (IAM) roles and AWS services to embed the service into your existing processes.

Data Lake 118

Data Lake Data Warehouse Unstructured Data Data Governance 118