erwin

APRIL 29, 2020

For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. The CEO also makes decisions based on performance and growth statistics. 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

Jen Stirrup

SEPTEMBER 30, 2021

Data Science – Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. For example, data can be filtered so that the investigation can be focused more specifically.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Cloudera

FEBRUARY 8, 2021

Stock Data – for pulling the stock data, I used alpha vantage service (free version). Basically, it’s a service that allows you to get a daily summary for stocks statistics (open, close, low, high- volume). Log in to Cloudera Data Platform Public Cloud control plane. b) Basic data transformation.

Machine Learning 77

Machine Learning Statistics Modeling Dashboards 77

AWS Big Data

JUNE 6, 2023

Furthermore, it allows for necessary actions to be taken, such as rectifying errors in the data source, refining data transformation processes, and updating data quality rules. The Lambda function sends an SNS notification containing data quality statistics to the designated email address.

Data Quality 75

Data Quality Metrics Data-driven Visualization 75

AWS Big Data

JANUARY 27, 2023

Sample dashboard overview The following screenshots illustrate the different components of our sample QuickSight dashboard: Summary tab – This view aggregates call statistics across data points such as average customer sentiments and average agent talk duration, along with detailed call records. Graphs like “Who Talks More?”

Analytics 62

Analytics Reporting Dashboards Visualization 62

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

FEBRUARY 6, 2023

Based on the statistics of individual and aggregated application runs per queue and per user, you can determine the existing workload distribution by user. His area of interests are data lakes and cloud modern data architecture delivery. Kalen Zhang was the Global Segment Tech Lead of Partner Data and Analytics at AWS.

Dashboards 77

Dashboards Optimization Data Lake Cost-Benefit 77

Sisense

OCTOBER 15, 2020

The UI allows users to parse their source data in formats including JSON, CSV, Avro, Parquet and Protobuf. A sample from the parsed data is displayed before ingestion starts: Schema on read and statistics per field are automatically detected and presented to the user: Step 2: Define stateful transformations.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

FEBRUARY 6, 2023

YARN log collector The HMDK TCO tool enables a simple way to capture Hadoop YARN logs, which include the Hadoop job runs statistics and the corresponding resource usages. His area of interests are data lakes and cloud modern data architecture delivery. You can use tired storage in Amazon S3 for cost savings.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

JANUARY 9, 2024

High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

CIO Business Intelligence

DECEMBER 22, 2022

Such teams tend to view analytic pipelines as analogous to lean manufacturing lines and regularly reflect on feedback provided by customers, team members, and operational statistics. Analytics, Collaboration Software, Data Management, Data Mining, Data Science, IT Strategy, Small and Medium Business.

Analytics 128

Analytics Machine Learning Software Data mining 128

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 169

Testing Risk Data Processing Statistics 169

Alation

APRIL 4, 2023

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. Integrating helpful metadata into user workflows gives all people, from data scientists to analysts , the context they need to use data more effectively.

Metadata 52

Metadata Cost-Benefit Data Transformation Predictive Modeling 52

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. Data Requirements. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 130

Testing Risk Data Processing Statistics 130

AWS Big Data

APRIL 12, 2023

Metadata store – We use Spark’s in-memory data catalog to store metadata for TPC-DS databases and tables— spark.sql.catalogImplementation is set to the default value in-memory. No statistics are pre-calculated for these tables. About the Authors Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Testing 76

Testing Big Data Metadata Optimization 76

Anmut

APRIL 6, 2022

Report after report validates this claim, with research showing that data-driven companies consistently outperform competitors by as much as 85% in sales growth , gross margin , operating margins, and other key financial performance indicators. of company leaders report having achieved their goal to become data-driven.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

AWS Big Data

SEPTEMBER 6, 2023

Stored procedures are commonly used to encapsulate logic for data transformation, data validation, and business-specific logic. She focuses on query optimization, statistics and SQL language features. It supports stored procedures where prepared SQL code is saved and the code can be reused over and over again.

Data Warehouse 97

Data Warehouse Insurance Statistics Software 97

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job.

Visualization 84

Visualization Cost-Benefit Data Quality Interactive 84

Domino Data Lab

AUGUST 20, 2019

Recentering the data means that we translate the values so that the extremes are different and the intermediate values are moved in some consistent way. Often, rescaling will also result in recentered data. Standardization , a statistical rescaling, is a bit trickier. Here are a few examples: Data Transformation from [link].

Testing 68

Testing Modeling Interactive Measurement 68

DataKitchen

JANUARY 23, 2023

Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. 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

Jet Global

MAY 1, 2023

Some cloud applications can even provide new benchmarks based on customer data. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52