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

FineReport

APRIL 11, 2023

With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments. Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

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 109

Data Lake Analytics Dashboards Metrics 109

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

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.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

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 126

Data Lake Data-driven Dashboards Risk 126

Sisense

MARCH 24, 2020

Dashboards can play a critical role in maintaining business continuity and productivity, workflow management, continuing to drive business impact, and maintaining morale, as data is often the lifeline of a business’s health. When you have masses of data, you need to make it meaningful. That’s what dashboards do.

Dashboards 90

Dashboards IT Visualization Data Lake 90

Andrew White

DECEMBER 2, 2022

On the fifth day of Christmas my CIO said to me, five trusted sources, four data hubs, three AI models, two industry clouds, and a budget in and on time. On the sixth day of Christmas my CIO said to me, six data lakes, five trusted sources, four data hubs, three ML models, two industry clouds, and a budget in and on time.

Data Lake 59

Data Lake Dashboards Modeling Analytics 59

DataKitchen

NOVEMBER 4, 2021

Cloud computing has made it much easier to integrate data sets, but that’s only the beginning. Creating a data lake has become much easier, but that’s only ten percent of the job of delivering analytics to users. It often takes months to progress from a data lake to the final delivery of insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

AWS Big Data

MARCH 29, 2024

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Sample AWS CDK template This post provides a sample AWS CDK template for a dashboard using AWS Glue observability metrics.

Metrics 101

Metrics Visualization Dashboards Interactive 101

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

AWS Big Data

MAY 1, 2024

To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems. Promote and expand the use of databases.

Dashboards 107

Dashboards Data-driven Publishing Cost-Benefit 107

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For IAM role , choose a Lake Formation user-defined role.

Management 85

Management Data Lake Sales Data Warehouse 85

AWS Big Data

JUNE 8, 2023

You can use this proactive alerting to monitor data patterns for existing data, monitor clusters, detect patterns, and more. OpenSearch Dashboard provides an alerting plugin that you can use to set up various types of monitors and alerts. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services.

Data Lake 75

Data Lake Dashboards Metrics Testing 75

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. Lastly, configure the dashboard.

Metrics 94

Metrics Dashboards Visualization Key Performance Indicator 94

AWS Big Data

NOVEMBER 20, 2023

The new metrics provide aggregate and fine-grained insights into the health and operations of your job runs and the data being processed. In addition to providing insightful dashboards, the metrics provide classification of errors, which helps with root cause analysis of performance bottlenecks and error diagnosis.

Metrics 92

Metrics Data Lake Cost-Benefit Dashboards 92

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

Andrew White

DECEMBER 13, 2019

On the fifth day of Christmas my CDO said to me, five data hubs, four data catalogs, three algorithms, two data clouds, and a budget in and time. On the sixth day of Christmas my CDO said to me, six data lakes, five data hubs, four project leaders, three algorithms, two data clouds, and a budget in and time.

Data Lake 59

Data Lake Dashboards 59

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. Choose the link under OpenSearch Dashboards URL. After the job runs successfully, navigate to OpenSearch Dashboards, and log in to the dashboard.

Analytics 92

Analytics IT Data Lake Visualization 92

AWS Big Data

APRIL 6, 2023

In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshift. This way, our existing data lake consumers could easily transition to Amazon Redshift.

Data Warehouse 81

Data Warehouse Data Lake Management Data-driven 81

AWS Big Data

NOVEMBER 13, 2023

2:30 PM – 3:30 PM (PDT) Mandalay Bay ANT335 | Get the most out of your data warehousing workloads. 5:30 PM – 6:30 PM (PDT) Ceasars Forum ANT349-R | Advanced real-time analytics and ML in your data warehouse [REPEAT]. 2:30 PM – 3:30 PM (PDT) Mandalay Bay ANT335 | Get the most out of your data warehousing workloads.

Analytics 109

Analytics Data Lake Data Warehouse Data-driven 109

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

MARCH 17, 2023

The team found QuickSight easy to use and developed two new dashboards that replaced dozens of legacy reports. The response has been overwhelmingly positive, leading to the development of two additional analytics dashboards, Job Postings and Onboarding, both set to be released in the first half of 2023.

Dashboards 52

Dashboards IT Data Lake Visualization 52

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. Then maybe we can have a dashboard that looks at anomalies on spot-checking. Vagesh Dave.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. 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 97

Data Warehouse Data Lake Analytics Machine Learning 97

Smart Data Collective

AUGUST 17, 2022

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. It will enable you to quickly transform and load the data results into Amazon S3 data lakes or JDBC data stores.

Data Lake 110

Data Lake Insurance Data-driven Data Processing 110

CIO Business Intelligence

NOVEMBER 29, 2023

In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data. Users can automatically create dashboards, order software, and manage installations, for example, that cloud resources can book. “We

IT 103

IT Data Lake Strategy IoT 103

AWS Big Data

DECEMBER 5, 2023

HR&A has used Amazon Redshift Serverless and CARTO to process survey findings more efficiently and create custom interactive dashboards to facilitate understanding of the results. The following are sample screenshots of the dashboards that show survey responses by zip code.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

DataKitchen

JANUARY 25, 2022

The data requirements of a thriving business are never complete. There is an endless stream of new data sources to integrate, exceptions to manage and requests for new charts, graphs and dashboards. To cope with all of the complexity, the company had to hire more and more consultants each year to engineer and analyze the data.

Consulting 244

Consulting Testing Data Lake Data Quality 244

IBM Big Data Hub

DECEMBER 18, 2023

Raw data feeds sound nice, but they usually end up creating more work for network teams, who have to process and analyze the data to discover the underlying cause of network issues. Provide only basic data Other authoritative DNS providers take the opposite approach, providing just a simple dashboard with basic information.

Dashboards 80

Dashboards Data Lake Metrics Sales 80

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

APRIL 26, 2022

Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. In recent years, e-commerce platforms have evolved into a combination of cloud, analytics, CX UIs, and data lakes dubbed customer data platforms (CDPs).

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 72

Metadata Data Lake Data Processing Data-driven 72

AWS Big Data

NOVEMBER 7, 2023

With this integration, Infosys replicated Aurora data to Amazon Redshift and created Amazon QuickSight dashboards for product managers and channel leaders in just a few seconds, instead of several hours. They used Amazon Aurora MySQL zero-ETL integration with Amazon Redshift to achieve this.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

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 79

Data Lake Dashboards Metrics Metadata 79

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. The QuickSight timeline dashboard shows the peak time job runs because of the daily batch job.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

AWS Big Data

FEBRUARY 12, 2024

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier. They also use Redshift to directly power some of their high-concurrency dashboards.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96