AWS Big Data

APRIL 17, 2024

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

AWS Big Data

DECEMBER 13, 2023

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. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 116

Data Warehouse Snapshot Data Processing Internet of Things 116

AWS Big Data

JUNE 27, 2024

This enables you to use your data to acquire new insights for your business and customers. The objective of a disaster recovery plan is to reduce disruption by enabling quick recovery in the event of a disaster that leads to system failure. In the event of a cluster failure, you must restore the cluster from a snapshot.

Snapshot 93

Snapshot Data Warehouse Data Processing Strategy 93

AWS Big Data

AUGUST 8, 2024

In this post, we provide a step-by-step guide for installing and configuring Oracle GoldenGate for streaming data from relational databases to Amazon Simple Storage Service (Amazon S3) for real-time analytics using the Oracle GoldenGate S3 handler. These handlers allow GoldenGate to read from and write data to S3 buckets.

Analytics 111

Analytics Big Data Software Data Integration 111

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 91

Data-driven Data Processing Consulting Enterprise 91

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

AWS Big Data

MAY 16, 2024

Another example is building monitoring dashboards that aggregate the status of your DAGs across multiple Amazon MWAA environments, or invoke workflows in response to events from external systems, such as completed database jobs or new user signups. Args: region (str): AWS region where the MWAA environment is hosted. His secret weapon?

Testing 121

Testing Metrics Interactive Management 121

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. Software Testing.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

AWS Big Data

SEPTEMBER 22, 2023

In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing. 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.

Management 119

Management Metrics Cost-Benefit Data Lake 119

IBM Big Data Hub

JANUARY 11, 2024

Successful business owners know how important it is to have a plan in place for when unexpected events shut down normal operations. Let’s start with some commonly used terms: Disaster recovery (DR): Disaster recovery (DR) refers to an enterprise’s ability to recover from an unplanned event that impacts normal business operations.

Cost-Benefit 92

Cost-Benefit Risk Enterprise Strategy 92

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 83

Data Governance Data Processing Data Quality Metadata 83

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

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 137

IT Risk Cost-Benefit Data Science 137

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

IBM Big Data Hub

FEBRUARY 6, 2024

Cybersecurity and cyber recovery are types of disaster recovery (DR) practices that focus on attempts to steal, expose, alter, disable or destroy critical data. Disaster recovery (DR) is a combination of IT technologies and best practices designed to prevent data loss and minimize business disruption caused by an unexpected event.

Cost-Benefit 87

Cost-Benefit Testing Risk Strategy 87

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 processing Raw data is often cluttered with duplicates and irregular formats.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

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 110

Digital Transformation Metadata Risk Enterprise 110

Ontotext

DECEMBER 1, 2023

The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. Sumit started his talk by laying out the problems in today’s data landscapes. Abstract art and knowledge graphs: embracing your mess!

Metadata 78

Metadata Sales Machine Learning Consulting 78

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 109

Interactive Strategy Cost-Benefit Data Governance 109

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

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. Twitter | LinkedIn.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

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. An example of this table is shown in the following screenshot. Choose Create stack.

Data Lake 98

Data Lake Visualization Dashboards Insurance 98

Alation

JUNE 23, 2023

That’s going to be the view at the highly anticipated gathering of the global data, analytics, and AI community — Databricks Data + AI Summit — when it makes its grand return to San Francisco from June 26–29. Attending Databricks Data+AI Summit? We’re looking forward to seeing you there!

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

Ontotext

SEPTEMBER 15, 2020

This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

MAY 30, 2023

You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination. To make data-driven decisions in a timely manner, you need to account for missed records and backpressure, and maintain event ordering and integrity, especially if the reference data also changes rapidly.

Data Lake 98

Data Lake Data Analytics Analytics Data Processing 98

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. Even more training and upskilling. Automate wealth management.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

APRIL 25, 2023

We were already using other AWS services and learning about QuickSight when we hosted a Data Battle with AWS, a hybrid event for more than 230 Dafiti employees. This event had a hands-on approach with a workshop followed by a friendly QuickSight competition.

Visualization 52

Visualization IT Data-driven Reporting 52

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Upcoming Events. They co-evolve due to challenges and opportunities among any of the three areas. Those days are long gone if they ever existed.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

IBM Big Data Hub

JANUARY 29, 2024

Your business needs to be prepared to handle such an event. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider. In a moment’s notice, customer expectations and market conditions can change.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Submit.

Sales 52

Sales Data Warehouse Visualization Testing 52

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 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

Alation

OCTOBER 28, 2021

These mandates ensure that PHA and PII data are protected and managed properly, so that patients are protected in the event of data breaches. Yet this same data is critical to improving patient outcomes. Today, lawmakers impose larger and larger fines on the organizations handling this data that don’t properly protect it.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix.

IT 118

IT Insurance Cost-Benefit Testing 118

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. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. What did attendees take away from the event?

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

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 Visualization 52

David Menninger's Analyst Perspectives

FEBRUARY 4, 2025

I recently wrote about the need for enterprises to harness events to process and act upon data at the speed of business. The core technologies that enable enterprises to process and analyze data in real time have been in existence for many years and are widely adopted.

Data Processing 130

Data Processing Data Processing Enterprise Software 130