AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. 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. Let’s take an example.

Sales 73

Sales Visualization Software Marketing 73

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 79

Dashboards Statistics Data Collection Business Intelligence 79

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.

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. In the Designer, you have the ability to start and stop each step of the data pipeline, resulting in events being queued up in the connections that link the processing steps together.

Testing 87

Testing Publishing Metadata Interactive 87

Cloudera

DECEMBER 9, 2022

Developers need to onboard new data sources, chain multiple data transformation steps together, and explore data as it travels through the flow. This allows developers to make changes to their processing logic on the fly while running some test data through their flow and validating that their changes work as intended.

Testing 103

Testing Cost-Benefit Interactive Visualization 103

Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 89

Metrics Slice and Dice Data Warehouse Dashboards 89

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

erwin

APRIL 29, 2020

Without data lineage, these functions are irrelevant, so it makes sense for a business to have a clear understanding of where data comes from, who uses it, and how it transforms. Business terms and data policies should be implemented through standardized and documented business rules.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Octopai

OCTOBER 6, 2022

Moving is generally a high-stress event for multiple reasons: Finding a reasonable mortgage offer and getting approved for it Concern that you won’t have enough money to cover unexpected expenses Packing up everything you own… and then unpacking it Hoping all your possessions make it to their destination without getting broken or lost.

Testing 52

Testing Visualization Data Transformation Strategy 52

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

CIO Business Intelligence

OCTOBER 18, 2022

The team can also use the data to enhance the fan experience. A system the Rangers call ‘24/7’ logs all incidents that occur during an event — everything from spill clean-up to emptying the trash, replacing a lightbulb, to medical assistance. Now, Noel says, they want it for every game, every event, every concert.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 70

Reporting Metrics Optimization Data Lake 70

datapine

SEPTEMBER 29, 2022

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. Data time-to-value: evaluates how long it takes you to gain insights from a data set. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

AWS Big Data

JANUARY 27, 2023

As part of the solution workflow, EventBridge receives an event for each PCA solution analysis output file. Kinesis Data Firehose uses Lambda to perform data transformation and compression, storing the file in a compressed columnar format (Parquet) in the target S3 bucket. step 3) on the Amazon S3 console.

Analytics 62

Analytics Reporting Dashboards Visualization 62

erwin

SEPTEMBER 17, 2020

Business terms and data policies should be implemented through standardized and documented business rules. Compliance with these business rules can be tracked through data lineage, incorporating auditability and validation controls across data transformations and pipelines to generate alerts when there are non-compliant data instances.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Sisense

AUGUST 28, 2020

The former allows us to control the data before it is generated, and the latter allows us to identify if there is an issue with our data that would impact its availability, completeness, or accuracy. Process-driven data integrity: Getting data generation right. Cleaning up data that doesn’t meet data integrity standards.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

JUNE 1, 2021

These acquisitions usher in a new era of “ self-service ” by automating complex operations so customers can focus on building great data-driven apps instead of managing infrastructure. Datacoral powers fast and easy data transformations for any type of data via a robust multi-tenant SaaS architecture that runs in AWS.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery. This allows for easy access and analysis of these events.

Dashboards 63

Dashboards Testing Metrics Optimization 63

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 71

Risk Modeling Management Metadata 71

AWS Big Data

OCTOBER 12, 2023

AWS Step Functions is a serverless orchestration service that enables developers to build visual workflows for applications as a series of event-driven steps. EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use.

Big Data 107

Big Data Data-driven Management Visualization 107

AWS Big Data

JULY 31, 2023

You can examine various events from the stack creation process on the Events tab. This concludes creating data sources on the AWS Glue job canvas. Next, we add transformations by combining data from these different tables. Under Transforms , choose SQL Query. Choose Submit.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

JUNE 13, 2022

Angel-Johnson says she, too, has a heightened level of concern around security issues and more specifically data protection. I thought I was hired for digital transformation but what is really needed is a data transformation,” she says. Indeed, the 2022 CIO Leadership Perspectives study from Evanta found that the No.

IT 144

IT Digital Transformation Strategy Internet of Things 144

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

DataKitchen

DECEMBER 9, 2022

The data scientists and IT professionals were starting to get frustrated, when suddenly, a magical fairy appeared out of nowhere. The fairy was carrying a DataOps wand, and she waved it over the messy data, transforming it into a clean and organized dataset.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Note: All the data analysis reports in this article are created using the FineReport reporting tool. Leveraging the advanced enterprise-level web reporting tool capabilities of FineReport , we empower businesses to achieve genuine data transformation. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

AWS Big Data

FEBRUARY 6, 2023

Transform the YARN job history logs from JSON to CSV After obtaining YARN logs, you run a YARN log organizer, yarn-log-organizer.py, which is a parser to transform JSON-based logs to CSV files. The parser also has other capabilities, including sorting events by time, removing dedicates, and merging multiple logs.

Dashboards 77

Dashboards Optimization Data Lake Cost-Benefit 77

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 106

Management Metadata Analytics Dashboards 106

AWS Big Data

JANUARY 17, 2024

His expertise lies in assisting customers with migrating intricate enterprise systems and databases to AWS, constructing enterprise data warehousing and data lake platforms. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

Cloudera

JUNE 17, 2022

It is widely adopted by network device manufacturers to log event messages from routers, switches, firewalls, load balancers, and other networking equipment. Syslog typically follows an architecture of a syslog client that collects event data from the device and pushes it to a syslog server. .

Cost-Benefit 97

Cost-Benefit IoT Data Warehouse Manufacturing 97

IBM Big Data Hub

NOVEMBER 20, 2023

Today’s healthcare providers use a wide variety of applications and data across a broad ecosystem of partners to manage their daily workflows. Integrating these applications and data is critical to their success, allowing them to deliver patient care efficiently and effectively. What is the FHIR Standard?

Cost-Benefit 89

Cost-Benefit Data-driven Data Transformation Management 89

Peter James Thomas

OCTOBER 30, 2018

It may well be that one thing that a CDO needs to get going is a data transformation programme. This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data. It may be to build a new (or a first) Data Architecture. Establishing a regular Data Audit.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Ontotext

APRIL 4, 2019

We minimized the time between the event (and what the journalist wanted to say about it) and the moment the reader or viewer could consume it. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. You also use AWS Glue to consolidate the files produced by the parallel tasks. Note that Lambda is a general purpose serverless engine.

Machine Learning 131

Machine Learning Visualization IoT Digital Transformation 131

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. It’s not just a fear of change. If the first is late finishing, there are problems.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

OCTOBER 11, 2023

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The architecture uses AWS Lambda , a serverless, event-driven compute service that lets you run code without provisioning or managing servers.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97