AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 101

Data Lake Data Warehouse Testing Business Objectives 101

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

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Data and tool tests.

Testing 130

Testing Statistics Measurement Metrics 130

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 93

Data Quality Measurement Testing Visualization 93

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

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. In some ways, the data architect is an advanced data engineer.

Data Architecture 125

Data Architecture Data Warehouse Statistics Visualization 125

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. It is also important to have a strong test and learn culture to encourage rapid experimentation. Incorporate these into subsequent releases.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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. Install NPM.

Data Lake 78

Data Lake Testing Interactive Unstructured Data 78

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 124

Data Lake Testing Big Data Management 124

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

Digital Transformation 82

Digital Transformation Cost-Benefit Informatics Data mining 82

BizAcuity

MAY 16, 2022

His name was William Gosset and he is credited to have developed the student t-test. Data allowed Guinness to hold their market dominance for long. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities. Data mining. Visual Analytics and Data Visualization.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . 3) Data Visualization is in Tech Preview on AWS and Azure. This is Now. 1) Currently available on AWS only. (2)

Data Warehouse 90

Data Warehouse Machine Learning Visualization Data Lake 90

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

JUNE 28, 2023

QuickSight makes it incredibly simple and intuitive to get to answers with Amazon QuickSight Q , which allows users to ask business questions about their data in natural language and receive answers quickly through data visualizations. Improving the zero-ETL performance is a continuous goal for AWS.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

FineReport

MARCH 24, 2024

Daily, data analysts engage in various tasks tailored to their organization’s needs, including identifying efficiency improvements, conducting sector and competitor benchmarking, and implementing tools for data validation. BI tools : Enables data aggregation, analysis, and visualization through dashboards and shared reports.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. Create a visual.

Data Warehouse 82

Data Warehouse Sales Visualization Data Processing 82

Jet Global

JANUARY 15, 2021

Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. As Microsoft focuses its reporting strategy around Power BI and Azure Data Lake services, Dynamics partners should carefully consider the implications of starting down the path that Microsoft is recommending.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

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

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 78

Dashboards Optimization Data Lake Cost-Benefit 78

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

JANUARY 15, 2021

DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP. As depicted in the chart, Cloudera Data Warehouse ran the benchmark with significantly better price-performance than any of the other competitors tested. higher cost.

Data Warehouse 90

Data Warehouse Cost-Benefit Consulting Interactive 90

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3. Choose Save and then Run.

Data Lake 79

Data Lake Data Warehouse Sales Data-driven 79

AWS Big Data

NOVEMBER 6, 2023

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. This helps you reduce operational overhead.

Data Lake 98

Data Lake Sales Management Testing 98

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? 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. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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. Choose Add new data source. Choose CloudWatch.

Metrics 102

Metrics Dashboards Visualization Key Performance Indicator 102

Peter James Thomas

APRIL 3, 2020

She could only imagine what things would have been like if everybody was not using the same figures to flag potential problems, diagnose them, come up with solutions and test that the response was working. In fact is is the crucial final link between an organisation’s data and the people who need to use it. I know, I know!

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

NOVEMBER 29, 2023

Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

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.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MARCH 27, 2024

Amazon Redshift integrates with AWS HealthLake and data lakes through Redshift Spectrum and Amazon S3 auto-copy features, enabling you to query data directly from files on Amazon S3. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 95

Data Analytics Analytics Data Warehouse Data Lake 95

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 77

Data Analytics Analytics IoT Data Lake 77

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 18, 2024

Test your new function with the following code, which returns the coordinates of the White House in Washington, DC: select public.f_geocode_address('1600 Pennsylvania Ave.','Washington','DC','20500','USA'); Select Directly query your data. For this post, we use ESRI as a provider and name the place index placeindex.redshift.

Data Warehouse 85

Data Warehouse Visualization Snapshot Data-driven 85

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 106

Data Lake Visualization Optimization Interactive 106

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 130

Data Warehouse Data Lake Visualization Big Data 130