Alation

FEBRUARY 20, 2020

The result, as many industry observers have put it, is that many data lakes become data swamps. New data visualization user interfaces from Tableau and Qlik proved that any business user can analyze their own data. Get the latest data cataloging news and trends in your inbox.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. Then our analytics team, an IT group, makes sure we build the data lake in the right sequence.

Data Lake 124

Data Lake Data-driven Dashboards Risk 124

AWS Big Data

MAY 23, 2024

Now, you can define dynamic rules and not worry about updating static rules on a regular basis to adapt to varying data trends. This feature enables you to author dynamic rules to compare current metrics produced by your rules with your historical values. We also show how to take action based on the data quality results.

Data Quality 88

Data Quality Metrics Data Lake Sales 88

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

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

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 105

Management Metrics Cost-Benefit Data Lake 105

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 71

Data Quality Data Lake Visualization Data-driven 71

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 92

Data Quality Measurement Testing Visualization 92

DataKitchen

NOVEMBER 18, 2022

Logs and storage for problem diagnosis and visualization of historical trends. Data and tool tests. In addition to the tracking of relationships and quality metrics, DataOps Observability journeys allow users to establish baselines? And she’ll know when newer data will arrive. An event or rules engine.

Testing 130

Testing Statistics Measurement Metrics 130

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Learn from this to build querying capabilities across your data lake and the data warehouse.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. For an up-to-date list, refer to Data Quality Definition Language (DQDL).

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption. This is the Data Mart stage.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MAY 1, 2024

Foundation – This role encompasses the data steward and governance team. Responsibilities include: Provide a preprocessed, generic dataset of data commonly used by many consumers. Manage and guide metrics for the quality of data published by each publisher. It is crucial in data governance and data management.

Dashboards 113

Dashboards Data-driven Publishing Cost-Benefit 113

AWS Big Data

JULY 25, 2023

In the Metric filters section, expand Additional filtering options. In the Metric filters section, expand Additional filtering options. This gives a visual representation of peaks and lows in your consumption over your chosen period of time. The Amazon Redshift CloudWatch metrics are data points for operational monitoring.

Metrics 83

Metrics Data Warehouse Dashboards Snapshot 83

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. To gain employee buy-in, Stout’s team builds BI dashboards to show them how they can easily connect to and interact with their data, as well as visualize it in a meaningful way.

IT 130

IT Business Intelligence Sales Key Performance Indicator 130

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

AWS Big Data

NOVEMBER 7, 2023

They can now analyze business metrics in near-real time and make data-driven decisions faster than ever before. This integration empowers users to go from data to predictions and visualizations faster than ever. Connecting to SaaS applications AWS services already connect to hundreds of AWS and third-party data sources.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

MARCH 17, 2023

This dashboard provides quick access to their customers’ important metrics. Development teams had to provide a raw data file to internal users, upon request, to show the value of the new feature, and even then it was limited in how they could show value. For example, it shows the total number of applicants for all the job postings.

Dashboards 52

Dashboards IT Data Lake Visualization 52

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. Also, it is using customer data that they experiment and roll out new products every month. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

JUNE 26, 2023

Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. Typically, companies ingest data from multiple sources into their data lake to derive valuable insights from the data. Jupyter notebooks are web-based interactive platforms.

Insurance 83

Insurance Visualization Data Lake Metrics 83

DataKitchen

JANUARY 17, 2022

If data is sequestered in access-controlled data islands, the process hub can enable access. Operational systems may be configured with live orchestrated feeds flowing into a data lake under the control of business analysts and other self-service users. Data is not static. Figure 1: A DataOps Process Hub.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake 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

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 86

Data Lake Dashboards Metrics Metadata 86

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.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

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. So go ahead.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JANUARY 8, 2024

With Kinesis Data Streams, customers can continuously capture terabytes of time series data from thousands of sources for cleaning, enrichment, storage, analysis, and visualization. The raw data can be streamed to Amazon S3 for archiving. Grafana supports data sources that are storage backends for time series data.

Analytics 115

Analytics IoT Data-driven Snapshot 115

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization. Choose Import.

Publishing 88

Publishing Dashboards Visualization Management 88

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose Save ruleset.

Data Quality 78

Data Quality Data Lake Data-driven Metrics 78

Alation

JULY 19, 2022

The traditional data science workflow , as defined by Joe Blitzstein and Hanspeter Pfister of Harvard University, contains 5 key steps: Ask a question. Get the data. Explore the data. Model the data. Communicate and visualize the results. A data catalog can assist directly with every step, but model development.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Canva is an online design and visual communication platform.

IoT 55

IoT Data-driven Data Lake Data Strategy 55