AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. venvScriptsactivate.bat After this step, the subsequent steps run within the bounds of the virtual environment on the client machine and interact with the AWS account as needed. Choose Publish dashboard.

Metrics 107

Metrics Visualization Dashboards Interactive 107

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 79

Data Lake Testing Interactive Unstructured Data 79

AWS Big Data

MARCH 21, 2024

For your application’s low-latency and real-time data access, you can use Lambda and DynamoDB. For longer-term data storage, you can use managed serverless connector service Amazon Data Firehose to send data to your data lake. You can use the same data to train ML models.

Data Lake 99

Data Lake Management Modeling Optimization 99

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. A data fabric is comprised of a network of data nodes (e.g.,

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). It generates and publishes reports in Amazon S3, which are then accessible via Athena.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

AWS Big Data

MARCH 29, 2024

Our services consuming this data inherit the same resilience from Amazon MSK. If our backend ingestion services face disruptions, no event is lost, because Kafka retains all published messages. Teams could efficiently consume events published by others, offering new capabilities more rapidly while reducing cross-team dependencies.

Cost-Benefit 93

Cost-Benefit Data-driven Metrics Management 93

Ontotext

FEBRUARY 12, 2024

It proposes a technological, architectural, and organizational approach to solving data management problems by breaking up the monolithic data platform and de-centralizing data management across different domain teams and services. Once these domains interact and share data with each other, the mesh emerges.

IT 64

IT Metadata Data Quality Data Lake 64

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Risk 86

Risk Data Lake Marketing Interactive 86

IBM Big Data Hub

JULY 5, 2022

Back in the 1960s and 70s, vast amounts of data were stored in the world’s new mainframe computers—many of them IBM System/360 machines—and had become a problem. Finally, 13 years after Codd published his paper, IBM Db2 on z/OS was born, and 10 years after that the first IBM Db2 database for LUW was released. . They were expensive.

Data Lake 88

Data Lake Data Warehouse Publishing Structured Data 88

erwin

AUGUST 31, 2023

1960s – Pre-Relational Era: IBM develops the Information Management System (IMS), a hierarchical database management system (DBMS), which organized data in a tree-like structure. Codd, a computer scientist at IBM, publishes a groundbreaking paper titled “A Relational Model of Data for Large Shared Data Banks.”

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Ontotext

NOVEMBER 16, 2023

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Mesh emerges when teams use other domains’ data products and the domains communicate with others in a governed manner.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Satori interacts with identity providers either via API or by using the SAML protocol.

Data Warehouse 86

Data Warehouse Interactive Data Architecture Data Lake 86

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. But don’t just take our word for it. Benchmark Description.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

Cloudera

NOVEMBER 18, 2021

So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection. This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW).

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

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. This could be your data lake or application S3 bucket.

Reporting 89

Reporting Data Lake Management Optimization 89

AWS Big Data

JUNE 29, 2023

Solution overview For our use case, we use several AWS services to stream, ingest, transform, and analyze sample automotive sensor data in real time using Kinesis Data Analytics Studio. Kinesis Data Analytics Studio allows us to create a notebook, which is a web-based development environment. Provide the following SQL statement.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

Sisense

DECEMBER 11, 2019

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. Omid Vahdaty, CTO of Jutomate Ltd.,

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

MAY 4, 2023

Phase 1 implementation of this regulation, which went into effect on July 1, 2022, requires that payors publish machine-readable files publicly for each plan that they offer. Athena is a serverless, interactive analytics service built on open-source frameworks, supporting open-table and file formats.

Insurance 84

Insurance Publishing Cost-Benefit Data Lake 84

Cloudera

NOVEMBER 18, 2020

We also celebrated the first-ever winner of the Data Impact Achievement Award — a new award category that recognizes one customer who has consistently achieved transformation across their business, pursuing a diverse set of use cases and creating a culture of data-driven innovation. . Data Impact Achievement Award.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

AWS Big Data

JULY 14, 2023

This enabled producers to publish data products that were curated and authoritative assets for their domain. For example, the AR team created and governed their cash application dataset in their AWS account AWS Glue Data Catalog. The global catalog The basic building block of our business-focused solutions are data products.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

datapine

APRIL 15, 2020

17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. It allows you to easily publish reports: the whole point of agile is to get the product out there.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 81

Data Warehouse Snapshot Metadata Cost-Benefit 81

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Business Focus. Operational. Operational Tactical.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

JUNE 13, 2023

Administrators can publish QuickSight applications on the Keycloak Admin console. Vamsi Bhadriraju is a Data Architect at AWS. He works closely with enterprise customers to build data lakes and analytical applications on the AWS Cloud. We also demonstrate ways to to assign QuickSight roles based on Keycloak membership.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

IBM Big Data Hub

JULY 17, 2023

While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases. offers a Prompt Lab, where users can interact with different prompts using prompt engineering on generative AI models for both zero-shot prompting and few-shot prompting.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

AWS Big Data

FEBRUARY 16, 2023

Prerequisites Before setting up the CloudFormation stacks, you must have an AWS account and an AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and the services listed in the architecture. In QuickSight, you analyze and visualize your data in analyses.

Data Warehouse 83

Data Warehouse Sales Visualization Data Processing 83

AWS Big Data

JUNE 12, 2023

After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data. The table can be queried using Amazon Athena , a serverless, interactive query service that enables running SQL-like queries on data stored in Amazon S3.

Management 82

Management Metadata Testing Internet of Things 82

AWS Big Data

AUGUST 28, 2023

Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake. For more information, refer to Lifecycle management in Security Lake. Review the details and create the data lake. For example, choosing DNS Activity will give you dashboards of all DNS activity published in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

Sisense

JUNE 12, 2019

Larger datasets were readily available because many private companies and public institutions decided to make their data open for everyone: text, video, speech, you name it. The hardware is there, the data is accumulating fast. As users become a bit savvier, they interact with dashboards making selections and applying filters.

Analytics 75

Analytics Data-driven Dashboards IoT 75

AWS Big Data

JULY 19, 2023

We show how to perform extract, transform, and load (ELT), an integration process focused on getting the raw data from a data lake into a staging layer to perform the modeling. Report and analysis the data in Amazon Quicksight QuickSight is a business intelligence service that makes it easy to deliver insights.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71