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 77

Data Processing Risk Modeling Management 77

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 103

Data-driven Interactive Data Processing Technology 103

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

JUNE 13, 2022

As with all financial services technologies, protecting customer data is extremely important. In some parts of the world, companies are required to host conversational AI applications and store the related data on self-managed servers rather than subscribing to a cloud-based service.

Deep Learning 79

Deep Learning Data Processing Cost-Benefit Insurance 79

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.

Cost-Benefit 64

Cost-Benefit Digital Transformation Data Governance Unstructured Data 64

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. version control.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

AWS Big Data

FEBRUARY 21, 2024

Streaming ingestion from Amazon MSK into Amazon Redshift, represents a cutting-edge approach to real-time data processing and analysis. Amazon MSK serves as a highly scalable, and fully managed service for Apache Kafka, allowing for seamless collection and processing of vast streams of data.

Analytics 112

Analytics Management Data-driven Data Integration 112

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Flexible pricing options, including self-hosted and cloud-based plans, accommodate businesses of all sizes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

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 Data Processing Publishing Metrics 142

AWS Big Data

DECEMBER 13, 2023

Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Data Warehouse 102

Data Warehouse Snapshot Data Processing Management 102

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 Consulting Enterprise 78

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

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 124

IT Risk Cost-Benefit Risk Management 124

CIO Business Intelligence

JULY 18, 2022

“The introduction of the General Data Protection Regulation (GDPR) also prompted companies to think carefully about where their data is stored and the sovereignty issues that must be considered to be compliant.”. Notably, Fundaments has worked extensively with VMware for years while serving its customers. “We

Data-driven 60

Data-driven Data Processing Consulting Enterprise 60

Alation

JUNE 23, 2023

Building a better data future At last year’s Summit we were buzzing about the release of Databricks Unity Catalog, which amplified our existing Databricks integration and optimized the modern data stack. Attending Databricks Data+AI Summit?

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

Octopai

JANUARY 31, 2021

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

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

Octopai

NOVEMBER 13, 2022

If you want to know why a report from Power BI delivered a particular number, data lineage traces that data point back through your data warehouse or lakehouse, back through your data integration tool, back to where the data basis for that report metric first entered your system.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Jedox

APRIL 30, 2020

Let’s dive deeper: Data integration. Data for sales compensation come from varied sources and almost always, before it can be fed into the calculation engine, it needs to be transformed per complex business rules. Details and registration here.

Sales 52

Sales Management Reporting Interactive 52

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

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 97

Cost-Benefit Testing Risk Strategy 97

AWS Big Data

OCTOBER 3, 2023

Launch the notebooks hosted under this link and unzip them on a local workstation. The path you choose for this upgrade, an in-place upgrade or CTAS migration, or a combination of both, will depend on careful analysis of the data architecture and data integration pipeline. Open AWS Glue Studio. Choose ETL Jobs.

Data Lake 107

Data Lake Metadata Snapshot Recreation/Entertainment 107

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 92

Metadata Data Lake Visualization Data Transformation 92

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. Establishing your RTO and RPO are critical steps in your recovery process.

Cost-Benefit 103

Cost-Benefit Risk Enterprise Strategy 103

Smart Data Collective

SEPTEMBER 26, 2019

Data Integration. Data integration is key for any business looking to keep abreast with the ever-changing technology landscape. As a result, companies are heavily investing in creating customized software, which calls for data integration. Real-Time Data Processing and Delivery. Final Thoughts.

Big Data 79

Big Data Software Unstructured Data Data Integration 79

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

CIO Business Intelligence

OCTOBER 13, 2022

Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. For instance, in the case of a mobile app built for a company’s sales representatives, the process can be split into three components — the UI/UX component, data integration, and integration with other third-party apps.

ROI 120

ROI IT Sales Consulting 120

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco.

Data Warehouse 52

Data Warehouse Digital Transformation Data-driven Metadata 52

erwin

JANUARY 3, 2019

Database Trends and Applications is a publication that should be on every data professionals’ radar. Alongside news and editorials covering big data, database management, data integrations and more, DBTA is also a great source of advice for professionals looking to research buying options. Dataversity. Twitter | LinkedIn.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

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

Smart Data Collective

OCTOBER 26, 2023

Specialists foster a culture of security awareness within the company by hosting training sessions and making educational resources available. They also uphold relevant regulations and protect systems, data, and communications. This empowers employees to adequately support the firm’s security goals.

Technology 87

Technology Risk Measurement IoT 87

AWS Big Data

MAY 30, 2023

A host with the installed MySQL utility, such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, AWS Cloud9 , your laptop, and so on. The host is used to access an Amazon Aurora MySQL-Compatible Edition cluster that you create and to run a Python script that sends sample records to the Kinesis data stream.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. This is done to gain better visibility of the operations, and capture data points of interest for the clients.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

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 99

Digital Transformation Metadata Risk Enterprise 99

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 108

Management Metrics Cost-Benefit Data Lake 108

In(tegrate) the Clouds

MAY 1, 2016

The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen. Transformation and Analytics. Scheduling and Workflow. Metadata and Governance. The post originally appeared on ITBusinessEdge as a slide show.

Data Lake 40

Data Lake Enterprise Management Metadata 40