AWS Big Data

NOVEMBER 20, 2023

The new metrics provide aggregate and fine-grained insights into the health and operations of your job runs and the data being processed. In addition to providing insightful dashboards, the metrics provide classification of errors, which helps with root cause analysis of performance bottlenecks and error diagnosis.

Metrics 98

Metrics Data Lake Cost-Benefit Dashboards 98

AWS Big Data

JUNE 8, 2023

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

Data Lake 82

Data Lake Dashboards Metrics Testing 82

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Data Lake Dashboards Data Science 130

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 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

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

AWS Big Data

JUNE 6, 2023

In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner. The crawler builds a Data Catalog, so the data can be queried using Athena. Choose Visualize.

Data Quality 74

Data Quality Metrics Visualization Dashboards 74

Cloudera

DECEMBER 21, 2020

You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks. This demo-guided blog aims to inspire further curiosity and learning, as well as fuel a fruitful, interactive dialogue – we welcome you to reach out to us if any particular part piques your interest. .

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Cloudera

APRIL 29, 2021

Some of these new features are: Prometheus endpoint : NiFi now exposes an endpoint allowing Prometheus to collect monitoring data about NiFi instances and running flows and giving you the ability to create very custom dashboards. and define a sink for where the data should go (Kafka, Site to Site, Prometheus, a database, etc.).

Metrics 76

Metrics Data Lake Dashboards Reporting 76

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 72

Analytics Data Warehouse Data Lake Data-driven 72

Cloudera

JANUARY 18, 2022

As a result of this innovative data solution, the company helped customers while keeping its default rate low. . The bank also used its data lake to feed a real-time dashboard that tracked employee health which led to better support for employees.

Data Lake 97

Data Lake Digital Transformation Data-driven Dashboards 97

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools. Increase trust in AI outcomes.

Risk 72

Risk Modeling Management Metadata 72

CIO Business Intelligence

MARCH 14, 2024

Today, I can provide managers in finance, sales, operations, all the way up to the CEO, with interactive dashboards, intuitive charts, and technical indicators that can be read by non-IT people to describe the health of the systems,” says Deligia.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Choose Create data source. Choose Next.

Visualization 79

Visualization Data Lake Interactive Data-driven 79

AWS Big Data

NOVEMBER 9, 2023

Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Sisense

JUNE 12, 2019

Having the data preparation, model development, and application deployment covered, there’s still a data skill gap in the developers who will operate these systems. Data literacy and data skills, which created the forgotten dark data lakes in the first place, are still scarce. Building a Better Tomorrow.

Analytics 75

Analytics Data-driven Dashboards IoT 75

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

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. Sales and customer service interactions are tracked in CRM. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

MAY 29, 2024

These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators.

Data Lake 80

Data Lake Enterprise Management Business Intelligence 80

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. With Grafana, you can create, explore, and share visually rich, data-driven dashboards. Lastly, configure the dashboard.

Metrics 101

Metrics Dashboards Visualization Key Performance Indicator 101

Smart Data Collective

DECEMBER 13, 2022

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose.

Visualization 135

Visualization Key Performance Indicator Sales Data Lake 135

AWS Big Data

MARCH 17, 2023

The team found QuickSight easy to use and developed two new dashboards that replaced dozens of legacy reports. The response has been overwhelmingly positive, leading to the development of two additional analytics dashboards, Job Postings and Onboarding, both set to be released in the first half of 2023.

Dashboards 52

Dashboards IT Data Lake Visualization 52

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 75

Data Lake Measurement Visualization Data Architecture 75

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. Data changes. Working software over comprehensive documentation.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Rita Sallam

AUGUST 17, 2016

Workday plans to embed Platfora technology into its technology foundation to complement existing operational reporting, dashboarding and scorecarding capabilities with Platfora’s ad hoc exploration features targeted specifically for Workday’s HR and Finance application customers.

Scorecard 40

Scorecard Visualization Sales Marketing 40

AWS Big Data

MARCH 5, 2024

Amazon EMR Studio is a unified data analysis environment where you can develop data engineering and data science applications. You can now develop and run interactive queries on Amazon Athena from EMR Studio (for more details, refer to Amazon EMR Studio adds interactive query editor powered by Amazon Athena ).

Data Lake 88

Data Lake Management Dashboards Data-driven 88

Sisense

JUNE 30, 2020

Simply put, data visualization means showing data in a visual format that makes insights easier to understand for human users. Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

AUGUST 28, 2023

OpenSearch Ingestion reads Parquet formatted security data from the Security Lake managed Amazon S3 bucket and transforms the security logs into JSON documents. OpenSearch Ingestion ingests this OCSF compliant data into OpenSearch Service. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JUNE 13, 2023

Sign in to your Keycloak admin dashboard. For the Keycloak admin dashboard, use [link]. 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. For instructions on installing Keycloak, refer to Keycloak Downloads.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

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.

Data Analytics 77

Data Analytics Analytics IoT Data Lake 77