erwin

APRIL 2, 2021

Protecting what traditionally has been considered personally identifiable information (PII) — people’s names, addresses, government identification numbers and so forth — that a business collects, and hosts is just the beginning of GDPR mandates.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS. We use the file emr-virtualcluster.yaml. We use the s3.yaml

Data-driven 73

Data-driven Metadata Testing Management 73

AWS Big Data

NOVEMBER 22, 2023

The workflow consists of the following high level steps: Cataloging the Amazon S3 Bucket: Utilize AWS Glue Crawler to crawl the designated Amazon S3 bucket, extracting metadata, and seamlessly storing it in the AWS Glue data catalog. We’ll query these tables using Amazon Athena and Amazon Redshift Spectrum. Keep the default option.

Statistics 104

Statistics Data Lake Optimization Data-driven 104

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. 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 56

Metadata Data Lake Machine Learning Big Data 56

Alation

FEBRUARY 13, 2020

His focus is on business intelligence, analytics, big data, and data warehousing. What role does data play in your customer-first culture? Graves: As I mentioned, one of the key things for us is that we sell web products for our customers to build their own web presence – domains, hosting, shopping carts, and SSL certs.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. In this approach, teams responsible for generating data are referred to as producers. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

IBM Big Data Hub

FEBRUARY 26, 2024

We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data. Download the Gartner® Market Guide for Active Metadata Management 1. You can use these reports to accurately track and report your data to ensure regulatory compliance.

Cost-Benefit 99

Cost-Benefit Metadata Data Governance Reporting 99

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. The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions.

Enterprise 78

Enterprise Data Integration Data Quality Contextual Data 78

AWS Big Data

MARCH 9, 2023

During each data load, incoming change records are matched against existing active records, comparing each attribute value to determine whether existing records have changed or were deleted or are new records coming in. SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record.

Slice and Dice 82

Slice and Dice Data Warehouse Metrics Metadata 82

IBM Big Data Hub

APRIL 11, 2024

We recommend that these hackathons be extended in scope to address the challenges of AI governance, through these steps: Step 1: Three months before the pilots are presented, have a candidate governance leader host a keynote on AI ethics to hackathon participants. We find that most are disincentivized because they have quotas to meet.

Risk 78

Risk Consulting Modeling Data Processing 78

IBM Big Data Hub

APRIL 1, 2024

GitOps for repo data Backstage allows developers and teams to express the metadata about their projects from yaml files. ” Rather than paying a cloud to host that proxy for you, you can move that proxy into Backstage and present it as a single product. This is like APIGEE or APIM, but “in-house.”

Software 77

Software Advertising Data Processing Metadata 77

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 85

Metadata Data Lake Optimization Strategy 85

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic.

Metrics 82

Metrics Visualization Measurement Optimization 82

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Big Data is an ecosystem as well as a philosophy.

Cost-Benefit 73

Cost-Benefit Big Data ROI Risk 73

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

IBM Big Data Hub

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. What capabilities are included in watsonx.ai?

Machine Learning 66

Machine Learning Data Warehouse Modeling Cost-Benefit 66

AWS Big Data

JUNE 19, 2023

The sample solution relies on access to a public S3 bucket hosted for this blog so egress rules and permissions modifications may be required if you use S3 endpoints. For this post, we name the stack blog-lambda. For more information about enabling Security Lake in your accounts, review Getting started. Choose Next.

Publishing 87

Publishing Dashboards Visualization Management 87

Cloudera

MAY 6, 2021

Risk mitigation is an esoteric topic in articulating the value of multi-cloud strategies given the different risk exposures of single-cloud deployments that depend on a host of reasons, including industry context and the potential impacts to different business domains e.g., cybersecurity, client-facing systems, etc. Risk Mitigation.

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

Insight

SEPTEMBER 10, 2019

Installing Spark from scratch and getting it to run in a distributed mode on a cloud computing system can be a hurdle for many new data engineers. Through this blog post, I hope to make it easier or at least provide guidance on reducing the time you must spend on the process. Finally, Pegasus will format HDFS.

Metadata 40

Metadata Data Processing Technology Data Science 40

AWS Big Data

JUNE 15, 2023

Check out more QuickSight use cases and success stories on the AWS Big Data Blog. Data can contain overlapping words One pitfall to look out for is any fields with long strings, like survey write-in responses, product descriptions, and so on.

Sales 68

Sales Dashboards Visualization Testing 68

Alation

JULY 6, 2021

Modern data governance relies on automation, which reduces costs. Automated tools make data governance processes very cost-effective. Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. Data catalogs solve the technical data governance challenges caused by silos.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Cloudera

NOVEMBER 22, 2021

Typically, organizations that leverage narrow-scope, single public cloud solutions for data processing face incremental costs as they scale to address more complex use cases or an increased number of users. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g.,

Data Processing 89

Data Processing Data Warehouse Enterprise Visualization 89

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. data streaming, data engineering, data warehousing etc.),

Cost-Benefit 84

Cost-Benefit Data-driven Data Warehouse Machine Learning 84