AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. It requires an Amazon Simple Queue Service (Amazon S3) queue that receives S3 Event Notifications. We think of this concept as inside-out data movement.

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Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Gartner Data & Analytics Summit 2022: Keynote Highlights.

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AWS Big Data

JUNE 12, 2024

OpenSearch Service is a fully managed, open source search and analytics engine that helps you with ingesting, searching, and analyzing large datasets quickly and efficiently. Amazon SQS receives an Amazon S3 event notification as a JSON file with metadata such as the S3 bucket name, object key, and timestamp.

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AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. is modernized by using promises for all actions, so developers can use async and await functions for better event management.

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AWS Big Data

APRIL 26, 2024

To enable your workforce users for analytics with fine-grained data access controls and audit data access, you might have to create multiple AWS Identity and Access Management (IAM) roles with different data permissions and map the workforce users to one of those roles. Choose View event to view the event logs.

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AWS Big Data

DECEMBER 18, 2023

Amazon S3 hosts the metadata of all the tables as a.csv file. The pipeline uses the Step Functions distributed map to read the table metadata from Amazon S3, iterate on every single item, and call the downstream AWS Glue job in parallel to export the data. The following diagram illustrates the Step Functions workflow.

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Metadata Visualization Data Lake Data-driven 121

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs. Data and Metadata: Data inputs and data outputs produced based on the application logic.

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Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MARCH 26, 2024

We structure it in five pillars that power C360: data collection, unification, analytics, activation, and data governance, along with a solution architecture that you can use for your implementation. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

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AWS Big Data

MAY 31, 2024

Amazon OpenSearch Serverless is a powerful and scalable search and analytics engine that can significantly contribute to the development of search applications. AWS Lambda is a serverless, event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

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Rita Sallam

APRIL 2, 2023

Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. We did two Bake-Offs this year.

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Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model.

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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. Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata.

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AWS Big Data

APRIL 25, 2023

AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. The marketing team created leads based on the event in Adobe Marketo. With AppFlow, you can run data flows at nearly any scale at the frequency you choose—on a schedule, in response to a business event, or on demand. Let’s take an example.

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Sales Visualization Software Marketing 72

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 means having the ability to define and relate all types of metadata.

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Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. Args: region (str): AWS region where the MWAA environment is hosted. Args: region (str): AWS region where the MWAA environment is hosted.

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Testing Interactive Metrics Management 89

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. For metadata read/write, Flink has the catalog interface.

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Andrew White

MARCH 31, 2023

How would I sum up several days in Orlando at our 2023 Data and Analytics conference last week – March 19th-22nd, 2023: Confusion Hype Voice of the Business Fort of all it was a fun time. I hosted 25 1-1s in between the meetings and presentations. See Product Management Practices Crucial for Data and Analytics Asset Monetization.

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Analytics Marketing Visualization Data-driven 40

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

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AWS Big Data

AUGUST 28, 2023

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. This gives required permissions to Amazon Security Lake to collect the logs and events. Choose Next.

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Dashboards Visualization Metadata Management 52

AWS Big Data

NOVEMBER 22, 2023

When talking with our customers, we learned that one the challenging aspect of data lake performance is how to optimize these analytics queries to execute faster. This is where you manage and configure the schedules for your events. Refer to Docs for support for Glue Catalog Statistics across various AWS analytical services.

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Alation

APRIL 14, 2023

In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. For those unfamiliar with Star Trek, Spock is known for his logical, analytical, and unemotional approach to making decisions – making him an ideal advisor in high-pressure situations. What did attendees take away from the event?

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AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases.

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datapine

SEPTEMBER 29, 2022

quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports.

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Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

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Metadata Machine Learning Data Science Data-driven 105

Octopai

JANUARY 31, 2021

The host is Tobias Macey, an engineer with many years of experience. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Currently, he is in charge of the Technical Operations team at MIT Open Learning. Agile Data.

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Data Governance Data Processing Data Quality Metadata 57

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

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AWS Big Data

JANUARY 22, 2024

As illustrated in the preceding figure, some domains are loosely coupled to other domains’ operational or analytical endpoints, with a different ownership. Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure.

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Data-driven Advertising Metadata Data Architecture 85

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. Metadata Challenges.

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AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. Refer to Use an event-driven architecture to build a data mesh on AWS for an example of tag-based access control in Lake Formation.

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AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability. Automatic WLM manages the resources required to run queries.

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bridgei2i

MARCH 3, 2021

In this episode of the AI to Impact Podcast, host Pavan Kumar speaks to Prinkan Pal about the evolution of data engineering and ML-operations from a closed team into a tech consulting unit. I’m your host – Pawan Kumar. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Pavan: Great, Prinkan.

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Cloudera

MAY 6, 2021

However, while many organizations have established relationships with multiple cloud vendors to achieve a multi-cloud model, they are using advanced analytics solutions that introduce cloud and data silos that diminish the value of that model. Risk Mitigation.

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Strategy Cost-Benefit Optimization Risk 92

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. The Data Discovery and Exploration template contains the most commonly used services in search analytics applications. With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences.

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Snapshot Unstructured Data Dashboards Interactive 71

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record.

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Slice and Dice Data Warehouse Metrics Metadata 82

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange. Adds governance, discovery, and access frameworks for automating the collection, management, and use of metadata.

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Domino Data Lab

JUNE 2, 2019

And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Daniel Kahneman @ #dominorev #rev2 #keynote #DataScience #data #AccuLogique #data4good #analytics #ThisIsNYC pic.twitter.com/hb7huNLgC4. " – Prof. Rev 2 wrap up.

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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. Logs: Logs are a record of events that occur within a software or application component. Prometheus uses PromQL to aggregate data and metrics.

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