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. A reimagined visual editor to boost developer productivity and enable self service. Figure 7: Test sessions provide an interactive experience that NiFi developers love.

Testing 95

Testing Cost-Benefit Interactive Visualization 95

datapine

SEPTEMBER 29, 2022

He/she assists the organization by providing clarity and insight into advanced data technology solutions. As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. Here, it all comes down to the data transformation error rate.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

OCTOBER 6, 2022

While the financial stress of migration is usually shouldered by company executives, the entire data team shares the stress of packing up data assets, moving them, unpacking them and putting them in the right locations, and hoping everything got there in one piece, with nothing broken or lost. Test the process. Did it work?

Testing 52

Testing Visualization Data Transformation Strategy 52

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. Disable the rules after testing to avoid repeated messages.

Data Lake 86

Data Lake Metrics Testing Cost-Benefit 86

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. Plays nice with existing CI/CD processes to promote a data pipeline to production. Provides monitoring, alerting, and troubleshooting for production data pipelines.

Testing 80

Testing Publishing Metadata Interactive 80

Cloudera

OCTOBER 13, 2020

CDP Data Engineering (1) – a service purpose-built for data engineers focused on deploying and orchestrating data transformation using Spark at scale. We invite you to learn more about CDP Public Cloud for yourself by watching a product demo or by taking the platform for a test drive (it’s free to get started). .

Data Warehouse 90

Data Warehouse Machine Learning Visualization Data Lake 90

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. Choose the Test tab. Install Python and jq.

Dashboards 61

Dashboards Testing Metrics Optimization 61

Sisense

FEBRUARY 26, 2020

In Transform to Win , we explore the challenges facing modern companies, diving into their individual digital transformations and the people who drive them. Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Alation

FEBRUARY 20, 2020

In perhaps a preview of things to come next year, we decided to test how a Data Catalog might work with Tableau on the same data. You can check out a self service data prep flow from catalog to viz in this recorded version here. Rita Sallam Introduces the Data Prep Rodeo.

Scorecard 52

Scorecard ROI Data-driven Visualization 52

AWS Big Data

JULY 31, 2023

We create the insert_orders_fact_tbl AWS Glue job manually using AWS Glue Visual Studio. Select the connection again and on the Actions menu, choose Test connection. Testing the connection can take approximately 1 minute. Select Visual with a blank canvas , then choose Create. Navigate to the Visual tab.

Sales 52

Sales Data Warehouse Visualization Testing 52

Cloudera

FEBRUARY 8, 2021

Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization. Stock Data – for pulling the stock data, I used alpha vantage service (free version). Next step is to create our table in which the data will be stored in our database. Now, let’s start testing our model!

Machine Learning 71

Machine Learning Statistics Modeling Dashboards 71

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. You can test this solution yourself using the AWS Samples GitHub repository. This method uses GZIP compression to optimize storage consumption and query performance.

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

APRIL 25, 2023

The following AWS services are used for data ingestion, processing, and load: Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between SaaS applications like Salesforce, SAP, Marketo, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift , in just a few clicks.

Sales 70

Sales Visualization Software Marketing 70

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget. Choose Delete.

Dashboards 74

Dashboards Optimization Data Lake Cost-Benefit 74

AWS Big Data

JULY 27, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. Choose Visual with a blank canvas and create the visual job.

Visualization 80

Visualization Cost-Benefit Data Quality Interactive 80

AWS Big Data

APRIL 25, 2024

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). I f you are interested in chatting about Apache Iceberg in CDP, let your account team know.

Snapshot 87

Snapshot Data Warehouse Machine Learning Cost-Benefit 87

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MAY 9, 2023

AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. It allows you to visually compose data transformation workflows using nodes that represent different data handling steps, which later are converted automatically into code to run.

Visualization 73

Visualization Marketing Big Data IT 73

AWS Big Data

NOVEMBER 15, 2023

Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. Each CDH dataset has three processing layers: source (raw data), prepared (transformed data in Parquet), and semantic (combined datasets).

Dashboards 93

Dashboards Analytics Metadata Optimization 93

DataKitchen

OCTOBER 25, 2022

The goal of DataOps Observability is to provide visibility of every journey that data takes from source to customer value across every tool, environment, data store, data and analytic team, and customer so that problems are detected, localized and raised immediately. A data journey spans and tracks multiple pipelines.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 83

Dashboards Visualization Metrics Data Transformation 83

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 103

Management Metadata Analytics Dashboards 103

Alation

JANUARY 17, 2023

Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

JUNE 29, 2023

In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities. Notebooks are provisioned quickly and provide a way for you to instantly view and analyze your streaming data.

Data Analytics 72

Data Analytics Analytics IoT Data Lake 72

O'Reilly on Data

JANUARY 17, 2023

Upload your data, click through a workflow, walk away. If you’re a professional data scientist, you already have the knowledge and skills to test these models. That takes us to a conspicuous omission from that list of roles: the data scientists who focused on building basic models. Get your results in a few hours.

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

AWS Big Data

JULY 6, 2023

It has not been specifically designed for heavy data transformation tasks. Configure the Step Functions workflow After you create the two Lambda functions, you can design the Step Functions workflow in the visual editor by using the Lambda Invoke and Map blocks, as shown in the following diagram. Add a data source block.

Machine Learning 127

Machine Learning Visualization IoT Digital Transformation 127

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks. Within the watsonx.ai

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

OCTOBER 31, 2023

If you’re testing on a different Amazon MWAA version, update the requirements file accordingly. For testing purposes, you can choose Add permissions and add the managed AmazonS3FullAccess policy to the user instead of providing restricted access. The requirements file is based on Amazon MWAA version 2.6.3.

Data Processing 88

Data Processing Management Publishing Testing 88

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Sisense

DECEMBER 12, 2019

The 4 signs include: Reporting is done manually in Excel and is time consuming Difficulty pulling and joining data from multiple data sources Inability to access and utilize the data collected to see insights Need for data visualization in real time. This helps reduce extra costs beyond the software license fees.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

FEBRUARY 8, 2023

For addressing data quality challenges in Amazon Simple Storage Service (Amazon S3) data lakes and data pipelines, AWS has announced AWS Glue Data Quality (preview). Now that the Python UDF has been created, you can test the response of different input values.

Data Quality 75

Data Quality Testing Data Warehouse Unstructured Data 75

Cloudera

OCTOBER 14, 2020

Also, such a concept helps admin to visualize the jobs which are scheduled for debugging purposes. The Test and Development queue have fixed resource limits. For instance, Spark driver pods need to be scheduled earlier than worker pods. Lack of efficient capacity/quota management capability . Acknowledgments.

Machine Learning 112

Machine Learning Management Big Data Optimization 112

Domino Data Lab

AUGUST 20, 2019

The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Feature extraction means moving from low-level features that are unsuitable for learning—practically speaking, we get poor testing results—to higher-level features which are useful for learning. Separate out a hold-out test set.

Testing 68

Testing Modeling Interactive Measurement 68

Occam's Razor

OCTOBER 19, 2010

If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. If you have evolved to a stage that you need behavior targeting then get Omniture Test and Target or Sitespect. Experimentation and Testing Tools [The "Why" – Part 1]. and embrace Multiplicity.

Analytics 135

Analytics Testing Measurement Optimization 135

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. Key features include comprehensive data connectors, user-friendly report-building tools, and web-based sharing options.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52