AWS Big Data

MARCH 13, 2025

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. The final model provides sales teams with the highest-value opportunities, which they can visualize in a business intelligence dashboard and take action on immediately.

Analytics 91

Analytics Data Lake Data Warehouse Data-driven 91

AWS Big Data

OCTOBER 29, 2024

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake 88

Data Lake Sales Metadata Machine Learning 88

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

DataKitchen

NOVEMBER 29, 2021

The rise of distributed data architectures like Data Mesh will combine with DataOps automation to give rise to Hub-Spoke architectures that deftly blend the benefits of centralization and decentralization. For example, a Hub-Spoke architecture could integrate data from a multitude of sources into a data lake.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JANUARY 15, 2025

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. This is further integrated into Tableau dashboards. datazone_env_twinsimsilverdata"."cycle_end";')

IoT 100

IoT Machine Learning Metadata Data-driven 100

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

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

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 75

Data Lake Dashboards Cost-Benefit Data Warehouse 75

AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. Apache Hudi connector for AWS Glue For this post, we use AWS Glue 4.0,

Data Lake 87

Data Lake Visualization Dashboards Insurance 87

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

NOVEMBER 11, 2024

On OpenSearch Dashboards, navigate to the main menu and choose Security. Using a PUT request in OpenSearch Dashboards for repository registration is not supported. For more details, see Using OpenSearch Dashboards with Amazon OpenSearch Service. Add the Amazon Resource Name (ARN) of TheSnapshotRole to the backend roles.

Snapshot 97

Snapshot Strategy Dashboards Data Lake 97

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

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

Cloudera

OCTOBER 23, 2024

One of the most important innovations in data management is open table formats, specifically Apache Iceberg , which fundamentally transforms the way data teams manage operational metadata in the data lake.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

AWS Big Data

OCTOBER 30, 2024

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. You can now view your project’s subscribed data directly within Tableau and build dashboards.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 118

Metadata Snapshot Data Lake Metrics 118

datapine

APRIL 15, 2020

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. Discover the available data sources. Data changes. Identify defects and enhancements.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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 124

Data Lake Analytics Dashboards Metrics 124

DataKitchen

AUGUST 27, 2021

Imagine a data team of one or two dozen data professionals serving the analytics needs of hundreds of sales and marketing team members. They submit an endless list of requests for new data sets, dashboards, segmentations, cached data sets and nearly anything else they think will help them meet business goals.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

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 87

Data Lake Data Governance Machine Learning Cost-Benefit 87

CIO Business Intelligence

AUGUST 9, 2024

At Atlanta’s Hartsfield-Jackson International Airport, an IT pilot has led to a wholesale data journey destined to transform operations at the world’s busiest airport, fueled by machine learning and generative AI. Data integrity presented a major challenge for the team, as there were many instances of duplicate data.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

DataKitchen

AUGUST 9, 2021

The data mesh is focused on building trust in data and promoting the use of data by business users who can benefit from it. In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data.

Testing 246

Testing Data Lake Metadata Publishing 246

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative. But seriously, reporting? That has to be the most boring term in all of analytics. How can you not think of "TPS Reports"?

Reporting 134

Reporting Analytics IT Data Lake 134

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. From enhancing data lakes to empowering AI-driven analytics, AWS unveiled new tools and services that are set to shape the future of data and analytics.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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 130

Data Lake Insurance Data-driven Data Processing 130

Smart Data Collective

DECEMBER 13, 2022

There are several choices to consider, each with its own set of advantages and disadvantages: Data warehouses are used to store data that has been processed for a specific function from one or more sources. Data lakes hold raw data that has not yet been altered to meet a specific purpose.

Visualization 145

Visualization Key Performance Indicator Sales Advertising 145

O'Reilly on Data

OCTOBER 19, 2021

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. Compute.

IT 364

IT Testing Experimentation Software 364

AWS Big Data

JUNE 5, 2024

The integration is new way for customers to query operational logs in Amazon S3 and Amazon S3-based data lakes without needing to switch between tools to analyze operational data. Amazon S3 is an object storage service offering industry-leading scalability, data availability, security, and performance.

Data Lake 104

Data Lake Dashboards Cost-Benefit Visualization 104

Cloudera

MARCH 2, 2021

Many of the existing visual business intelligence and dashboard tools also use SQL as a standard language. Democratizing data refers to a mechanism that provides a self-serve paradigm and culture for an ever-growing internal audience to get the data they need to add value to the business. What do you mean by democratizing?

Data Lake 112

Data Lake Data Warehouse Dashboards Enterprise 112

DataKitchen

OCTOBER 11, 2021

She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart. The data engineer then emails the BI Team, who refreshes a Tableau dashboard.

Testing 152

Testing Metadata Dashboards Statistics 152

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

MAY 29, 2024

Grant access to User1 in Lake Formation Sign in to the Lake Formation console, choose Data lake permissions in the navigation pane, and grant access to the user group on the database oktank_tipblog_temp and table customer. On the Amazon Redshift Serverless dashboard console, navigate to the namespace you created.

Data Lake 93

Data Lake Enterprise Management Business Intelligence 93

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 118

Metrics Visualization Dashboards Publishing 118

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 108

Metrics Data Lake Cost-Benefit Dashboards 108

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 119

Analytics Data Lake Data Warehouse Data-driven 119

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