O'Reilly on Data

FEBRUARY 4, 2019

Given the end-to-end nature of many data products and applications, sustaining ML and AI requires a host of tools and processes, ranging from collecting, cleaning, and harmonizing data, understanding what data is available and who has access to it, being able to trace changes made to data as it travels across a pipeline, and many other components.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

IBM Big Data Hub

JANUARY 10, 2024

Red Hat OpenShift Container Platform (RH OCP) has emerged as a leading solution for supporting the application development lifecycle, provisioning and managing container images and workloads into a platform for containerized applications and ecosystem.

Data Processing 76

Data Processing Risk Modeling Cost-Benefit 76

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

AWS Big Data

FEBRUARY 21, 2024

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK) , eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift.

Analytics 105

Analytics Management Data-driven Data Integration 105

AWS Big Data

DECEMBER 13, 2023

Redshift streaming ingestion provides low latency, high-throughput data ingestion, which enables customers to derive insights in seconds instead of minutes. After that, using materialized-view refresh, you can ingest hundreds of megabytes of data per second. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 96

Data Warehouse Snapshot Data Processing Management 96

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted.

IT 130

IT Risk Cost-Benefit Risk Management 130

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

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

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 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

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. Not even IBM Cloud administrators have access.

Data-driven 101

Data-driven Interactive Data Processing Technology 101

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.

Data Processing 86

Data Processing Deep Learning Insurance Cost-Benefit 86

CDW Research Hub

JANUARY 28, 2022

In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps. Rely on data classification.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

In(tegrate) the Clouds

MAY 1, 2016

SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are: Storage and Data Formats. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen. Ingest and Delivery.

Data Lake 40

Data Lake Enterprise Management Metadata 40

AWS Big Data

MARCH 26, 2024

AWS provides different services for building data ingestion pipelines: AWS Glue is a serverless data integration service that ingests data in batches from on-premises databases and data stores in the cloud. Streaming data with low latency needs is stored in Amazon Kinesis Data Streams for real-time consumption.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

erwin

APRIL 4, 2022

workflow management. 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. version control.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

CIO Business Intelligence

JULY 18, 2022

One of the unique things about Fundaments is that we offer a mission-critical, sovereign cloud and Infrastructure-as-a-Service for managed service providers and independent software companies as well as other private-sector businesses and government agencies,” says Verschuren. Customers’ data is not exposed to any foreign input in any way.”.

Data-driven 65

Data-driven Data Processing Consulting Enterprise 65

Alation

JUNE 23, 2023

Using Matillion to Boost Productivity with the Lakehouse and Your Full Data Stack Who: Sarah Pollitt , group product manager at Matillion When: Wednesday, June 28, at 12:30 p.m. Unlocking the Power of Real-Time Data to Maximize Data Insights Who: Raghu Jayachandran , senior manager, enterprise data at RaceTrac Inc.

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

Octopai

JANUARY 31, 2021

Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week. The host is Tobias Macey, an engineer with many years of experience. Agile Data. A-Team Insight.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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 ”. In spite of all the activity, the data paradigm hasn’t evolved much.

IT 69

IT Cost-Benefit Data-driven Technology 69

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 86

Metadata Data Lake Visualization Data Transformation 86

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. billion in 2022 and was poised to grow by 22% percent in 2023.

Cost-Benefit 100

Cost-Benefit Risk Enterprise Software 100

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Smart Data Collective

OCTOBER 26, 2023

Cybersecurity professionals protect computer systems, networks, and data from harmful intrusions and attacks. They are primarily responsible for identifying and managing security risks by locating system vulnerabilities and potential threats. They also uphold relevant regulations and protect systems, data, and communications.

Technology 91

Technology Risk Measurement IoT 91

AWS Big Data

OCTOBER 3, 2023

With changing use cases, customers are looking for ways to not only move new or incremental data to data lakes as transactions, but also to convert existing data based on Apache Parquet to a transactional format. Launch the notebooks hosted under this link and unzip them on a local workstation. Open AWS Glue Studio.

Data Lake 100

Data Lake Metadata Snapshot Recreation/Entertainment 100

datapine

AUGUST 20, 2019

This leads to application failures and breakdown of enterprise data flows that further result in incomprehensible information losses and painful delays in mission-critical business operations. Moreover, an enormous amount of time, money, and effort goes into waste while discovering, extracting, preparing, and managing rogue data sets.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

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 95

Cost-Benefit Testing Risk Strategy 95

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. Big Data Batman (@BigDataBatman) January 29, 2019. The erwin Expert Network. Dataversity.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

CIO Business Intelligence

APRIL 27, 2022

With new national data protection and privacy laws continuing to take shape across the globe and penalties confirming the punitive power of existing regulations, it’s no surprise that highly regulated industries are turning to sovereign cloud solutions. Alharkan, Product Manager, Cloud Infrastructure Services at Saudi Telecom Company (STC).

Digital Transformation 103

Digital Transformation Metadata Risk Management 103

Smart Data Collective

SEPTEMBER 26, 2019

Relevant, complete, accurate, and meaningful data can help a business gain a competitive edge over its competitors which is the first step towards scaling operations and becoming a market leader. As such, any company looking to stay relevant both now and, in the future, should have data management initiatives right.

Big Data 79

Big Data Software Unstructured Data Data Integration 79

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. 10 Steps toward a Data Fabric with Knowledge Graphs.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Alation

JANUARY 20, 2022

They alert all users to data issues and guide data stewards to remediate data from a data source. Data Governance for Data Quality: Doupe’s 9-Step Framework. Ryan recommends a nine-step framework for managing data quality with data governance. Step 4: Data Sources.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

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. rds-upsert-data- – Upserts specific records in the source table ticket_activity.

Data Lake 79

Data Lake Visualization Dashboards Insurance 79

CIO Business Intelligence

OCTOBER 13, 2022

In case of building an application for HR department, the chief human resource manager needs to take the opinion of and get consent from all the downline HR heads, so that all the aspects of the applications are covered and there are no acceptability hiccups later on,” Pramanik says. Adopt the agile methodology.

ROI 125

ROI IT Sales Consulting 125

O'Reilly on Data

DECEMBER 12, 2019

These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. What is model debugging? Sensitivity analysis.

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

AWS Big Data

JULY 20, 2023

Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. AWS Billing and Cost Management – Create Cost and Usage Reports.

Reporting 85

Reporting Data Lake Management Optimization 85