BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

AWS Big Data

MARCH 29, 2024

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. QuickSight periodically runs Amazon Athena queries to load query results to SPICE and then visualize the latest metric data. The filtered Worker Utilization per Job visualization shows 0.5,

Metrics 103

Metrics Visualization Dashboards Interactive 103

Jet Global

SEPTEMBER 4, 2020

There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes. There has been a lot of talk over the past year or two in the D365F&SCM world about “data lakes.” Traditional databases and data warehouses do not lend themselves to that task.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake 82

Data Lake Big Data OLAP Testing 82

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level. Choose Create.

Data Lake 78

Data Lake Data Governance Cost-Benefit Machine Learning 78

AWS Big Data

MARCH 27, 2023

In this post, we demonstrate how Amazon Athena , Amazon QuickSight , and Confluent work together to enable visualization of data streams in near-real time. Data visualization for Confluent data A frequent use case for enterprises is data visualization. Choose Create data source.

Visualization 74

Visualization Data Lake Interactive Data-driven 74

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 110

Data Lake Analytics Dashboards Metrics 110

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 135

Data Lake Data-driven Dashboards Risk 135

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 86

Metadata Data Lake Visualization Data Transformation 86

AWS Big Data

JUNE 6, 2023

It provides insights and metrics related to the performance and effectiveness of data quality processes. In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner.

Data Quality 69

Data Quality Metrics Visualization Dashboards 69

CIO Business Intelligence

DECEMBER 19, 2023

However, establishing and maintaining such connections can be a complex and costly process, especially as the volume of data being transmitted continues to grow. Similarly, connecting to data lakes presents both privacy and security concerns. Support for future AI development Secretary of State Antony J.

Data Lake 110

Data Lake Management Cost-Benefit Data Processing 110

AWS Big Data

JANUARY 12, 2024

Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 91

Data Lake Cost-Benefit Visualization Structured Data 91

AWS Big Data

JANUARY 26, 2023

AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs.

Data Lake 108

Data Lake Big Data Software Interactive 108

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 95

Data Lake Data Warehouse Testing Business Objectives 95

AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. The following is a visual representation of an example job where the number of workers is 10. workerUtilization showed 1.0 100%) based on the workload requirements.

Metrics 93

Metrics Data Lake Cost-Benefit Dashboards 93

DataKitchen

JANUARY 25, 2022

There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex. For example, DataOps can be used to automate data integration.

Consulting 244

Consulting Testing Data Lake Data Quality 244

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Create job and Visual ETL. Choose Create connection.

Analytics 94

Analytics IT Data Lake Visualization 94

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 67

Data Quality Data Lake Visualization Data-driven 67

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 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave. McDermott International. The structures for mining this fuel?

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

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

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 110

Data Lake Data Warehouse Visualization Snapshot 110

CIO Business Intelligence

NOVEMBER 29, 2022

AWS Supply Chain, announced at AWS re:Invent Tuesday, can connect to existing enterprise resource planning (ERP) suites and supply chain management systems via built-in connectors to unify all data into a supply chain data lake , which can be later used to generate actionable insights, the company said.

Management 72

Management Data Lake Machine Learning Visualization 72

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a unified view of all data. Its code generation architecture uses a visual interface to create Java or SQL code.

Management 311

Management Data Warehouse Data Quality Data Integration 311

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 118

Data Lake Testing Big Data Management 118

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 93

Data Governance Unstructured Data Metadata Data Lake 93

AWS Big Data

DECEMBER 5, 2023

This dynamic tool, powered by AWS and CARTO, provided robust visualizations of which regions and populations were interacting with our survey, enabling us to zoom in quickly and address gaps in coverage. Figure 1: Workflow illustrating data ingesting, transformation, and visualization using Redshift and CARTO.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

CIO Business Intelligence

MAY 10, 2023

So we have a visualization layer where we teach different groups within our organization to learn. It’s evolved from over the past four years from having nothing and siloed data sets of spreadsheets and everyone doing their own thing, to being centralized based on KPIs and the trust in what they receive from the data.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

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. On the AWS Glue console, under ETL jobs in the navigation pane, choose Visual ETL. In the Create job section, choose Visual ETL.x

Data Quality 87

Data Quality Measurement Testing Visualization 87

AWS Big Data

MARCH 25, 2024

Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Jen Stirrup

MAY 5, 2020

Azure allows you to protect your enterprise data assets, using Azure Active Directory and setting up your virtual network. Other technologies, such as Azure Data Factory, can help process large amounts of data around in the cloud. You can use Visual Studio, which is a home for many developers. Azure Data Lake Store.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

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.

Data Lake 74

Data Lake Testing Interactive Unstructured Data 74

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Visual Studio Online. Azure Synapse. This is exactly what it sounds like. Project Silica.

Data Science 106

Data Science Machine Learning Data Lake IoT 106

CIO Business Intelligence

OCTOBER 25, 2023

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

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. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93