AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

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. Choose Store a new secret.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

Ontotext

MARCH 24, 2021

Furthermore, the format of the export and process changes slightly from election to election, making comparing data chronologically almost impossible without substantial data wrangling and ad-hoc cleaning and matching. Easily accessible linked open elections data. The data is publicly available as a SPARQL endpoint at [link].

Statistics 142

Statistics Publishing Data Processing Metrics 142

IBM Big Data Hub

JANUARY 9, 2024

Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues. The groundwork of training data in an AI model is comparable to piloting an airplane. This may also entail working with new data through methods like web scraping or uploading.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

OCTOBER 3, 2023

This AWS CloudFormation template deploys the following resources: An S3 bucket named demo-blog-post-XXXXXXXX ( XXXXXXXX represents the AWS account ID used). Note: In the example, we copy data only for the year 2023. Launch the notebooks hosted under this link and unzip them on a local workstation. Open AWS Glue Studio.

Data Lake 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

datapine

AUGUST 20, 2019

Integration automates data ingestion to: process large files easily without manually coding or relying on specialized IT staff. handle large data volumes and velocity by easily processing up to 100GB or larger files. Data ingestion becomes faster and much accurate. get rid of expensive hardware, IT databases, and servers.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Data Virtualization

AUGUST 18, 2022

Reading Time: 5 minutes Opening the specific data view within Power BI is as simple as clicking on and opening the downloaded connection file. All the server host, ports, and database connection settings are automatically made for you so you can get on with.

Data Processing 52

Data Processing Data Integration Management Data Science 52

IBM Big Data Hub

NOVEMBER 14, 2023

Additionally, by managing the data product as an isolated unit it can have location flexibility and portability — private or public cloud — depending on the established sensitivity and privacy controls for the data. Doing so can increase the quality of data integrated into data products.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Cloudera

NOVEMBER 22, 2021

Rise in polyglot data movement because of the explosion in data availability and the increased need for complex data transformations (due to, e.g., different data formats used by different processing frameworks or proprietary applications). As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Alation

JANUARY 20, 2022

What’s the business impact of critical data elements being trustworthy… or not? In this step, you connect data integrity to business results in shared definitions. This work enables business stewards to prioritize data remediation efforts. Step 4: Data Sources. Step 9: Data Quality Remediation Plans.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

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. To learn more about the CDF platform, please visit [link].

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Ensure data literacy. Because it is that important.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

IBM Big Data Hub

DECEMBER 11, 2023

With the advent of enterprise-level cloud computing, organizations could embark on cloud migration journeys and outsource IT storage space and processing power needs to public clouds hosted by third-party cloud service providers like Amazon Web Services (AWS), IBM Cloud, Google Cloud and Microsoft Azure.

Cost-Benefit 101

Cost-Benefit Data Processing Strategy Software 101

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 111

Digital Transformation Metadata Risk Enterprise 111

erwin

APRIL 4, 2022

data integrity. Pushing FE scripts to a Git repository involves: Connecting erwin Data Modeler to Mart Server. Connecting erwin Data Modeler to a Git repository. Connecting erwin Data Modeler to Git Repositories. A Git repository may be hosted on GitLab or GitHub. Git Hosting Service. Like this blog?

Modeling 52

Modeling Data Processing Data-driven Big Data 52

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

IBM Big Data Hub

JANUARY 12, 2024

For enterprises dealing with sensitive information, it is vital to maintain state-of-the-art data security in order to reap the rewards,” says Stuart Winter, Executive Chairman and Co-Founder at Lacero Platform Limited, Jamworks and Guardian.

Data-driven 94

Data-driven Interactive Data Processing Technology 94

Cloudera

SEPTEMBER 27, 2023

Platform security for data in transit The platform uses transport layer security (TLS) and secure socket layer (SSL) protocols to establish a secure communication channel between different components of the platform for better privacy and data integrity. To find your perfect path to 7.1.9,

Data Processing 87

Data Processing Management Measurement Enterprise 87

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

CDW Research Hub

JANUARY 28, 2022

Hybrid cloud continues to help organizations gain cost-effectiveness and increase data mobility between on-premises, public cloud, and private cloud without compromising data integrity. With a multi-cloud strategy, organizations get the flexibility to collect, segregate and store data whether it’s on- or off-premises.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. The post Do You Know Where All Your Data Is? appeared first on Cloudera Blog.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

IBM Big Data Hub

JANUARY 10, 2024

The protection of data-at-rest and data-in-motion has been a standard practice in the industry for decades; however, with advent of hybrid and decentralized management of infrastructure it has now become imperative to equally protect data-in-use.

Data Processing 70

Data Processing Risk Modeling Cost-Benefit 70

AWS Big Data

SEPTEMBER 13, 2024

To share data to our internal consumers, we use AWS Lake Formation with LF-Tags to streamline the process of managing access rights across the organization. Data integration workflow A typical data integration process consists of ingestion, analysis, and production phases.

Interactive 107

Interactive Strategy Cost-Benefit Data Governance 107

Cloudera

AUGUST 28, 2023

Privacy concerns loom large, as many enterprises are cautious about sharing their internal knowledge base with external providers to safeguard data integrity. This delicate balance between outsourcing and data protection remains a pivotal concern. In the next few sections we will go through the main steps in this process.

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

Jedox

APRIL 30, 2020

In our first post in this blog series, we discussed the benefits of automating Sales Performance Management (SPM) and the related challenges. Let’s dive deeper: Data integration. Sales Compensation Management is the most critical business function within SPM. Details and registration here.

Sales 52

Sales Management Reporting Interactive 52

AWS Big Data

SEPTEMBER 22, 2023

Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform. This post includes much more information on business use cases, architecture diagrams, and technical infrastructure.

Management 119

Management Metrics Cost-Benefit Data Lake 119

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

JULY 12, 2024

We offer a seamless integration of the PoolParty Semantic Suite and GraphDB , called the PowerPack bundles. This enables our customers to work with a rich, user-friendly toolset to manage a graph composed of billions of edges hosted in data centers around the world. PowerPack Bundles – What is it and what is included?

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

IBM Big Data Hub

JANUARY 11, 2024

Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach. Explore Veeam on IBM Cloud The post Business disaster recovery use cases: How to prepare your business to face real-world threats appeared first on IBM Blog.

Cost-Benefit 92

Cost-Benefit Risk Enterprise Strategy 92

BizAcuity

MAY 24, 2022

Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS provides a platform for compute, data storage and networking capabilities. Microsoft’s blog paints quite the picture about this issue.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 87

Cost-Benefit Testing Risk Strategy 87

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. The source code for the application is hosted the AWS Glue GitHub.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Find out more about CDP, modern data architectures and AI here.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS. For Data source name , enter a name (for example, hudi-blog ).

Data Lake 98

Data Lake Visualization Dashboards Insurance 98

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69