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 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

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 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

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

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. The data requirements of a thriving business are never complete.

Consulting 244

Consulting Testing Data Lake Data Quality 244

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 106

Metrics Visualization Dashboards Interactive 106

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 81

Data Lake Dashboards Metrics Testing 81

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 96

Metrics Data Lake Cost-Benefit Dashboards 96

DataKitchen

JANUARY 3, 2022

The data analytics function in large enterprises is generally distributed across departments and roles. For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Analytics Hub and Spoke. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Smart Data Collective

AUGUST 17, 2022

Ninety-four percent of enterprises invest in cloud infrastructures, due to the benefits it offers. 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.

Data Lake 107

Data Lake Insurance Data-driven Data Processing 107

Cloudera

DECEMBER 11, 2020

Crucial to Merck KGaA’s success is the ability to access and utilize data from across the enterprise that is GxP regulated and qualified. Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

CIO Business Intelligence

APRIL 26, 2022

Undertaking a top-to-bottom modernization of a dusty enterprise stack can feel a bit like scaling a mountain. Backcountry also lacked many core services critical for an online retailer — no CMS, no analytics, no data platform, and no data lake. Of course, none of this would be complete without a shift to the cloud.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

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. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

MAY 12, 2022

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. Driverless AI offers automated pipeline; AI adapts to incoming data. For enterprise support, cloud options. What are predictive analytics tools? Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. Have an AWS account with permission on AWS Lambda , QuickSight (Enterprise edition), and AWS CloudFormation. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 77

Dashboards Optimization Data Lake Cost-Benefit 77

CIO Business Intelligence

JUNE 20, 2022

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. It’s uninterrupted service that the customer is seeking.”.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

MAY 10, 2023

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. They’re learning how to visualize data on their own, so they don’t really need IT other than the data marts in order to build their own dashboards.

Data-driven 117

Data-driven IT Digital Transformation Data Governance 117

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

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. Part 1) (Part 2).

Testing 130

Testing Statistics Measurement Metrics 130

IBM Big Data Hub

OCTOBER 16, 2023

In other words, instead of training numerous models on labeled, task-specific data, it’s now possible to pre-train one big model built on a transformer and then, with additional fine-tuning, reuse it as needed. They offer an enterprise-ready dataset with trusted data that’s undergone negative and positive curation.

Risk 71

Risk Modeling Management Metadata 71

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 77

Data Lake Testing Interactive Unstructured Data 77

CIO Business Intelligence

APRIL 24, 2024

It’s universally accepted that to thrive, enterprises must embrace transformation through technology. The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. With this, the recommendation was the formation of a large enterprise data governance board with CEO sponsorship.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

MARCH 25, 2024

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed enterprise document database service that supports native JSON workloads. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This is the essence of Convergent Evolution.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. AWS Glue – AWS Glue is used to load files into Amazon Redshift through the S3 data lake.

Data Warehouse 106

Data Warehouse Testing Data Quality Reporting 106

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. All these architecture patterns are integrated with Amazon Kinesis Data Streams. The raw data can be streamed to Amazon S3 for archiving. Brittany Ly is a Solutions Architect at AWS.

Analytics 114

Analytics IoT Data-driven Snapshot 114

Cloudera

NOVEMBER 10, 2020

We have evolved with our users, from early-on Hadoop hackers needing quick access to data in the Data Lake, to a much more sophisticated SQL tool. Many seek to also share the result table further via an Enterprise BI Tool (e.g. Qlik, Tableau, etc).

Visualization 114

Visualization Optimization Unstructured Data Dashboards 114

CIO Business Intelligence

APRIL 12, 2023

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. In this article, I’ll share insights on aligning vision and leadership, as well as reducing complexity to make data actionable for delivering real-time AI solutions.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

BizAcuity

MAY 16, 2022

As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Jet Global

OCTOBER 30, 2020

Introducing Data Lakes. Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

FEBRUARY 20, 2020

data, models…). reports, dashboards, charts, data…). In our industry, we tend to celebrate the hero data scientist or lone analyst, but what makes a data-driven organization successful are shared insights. . ; More than 70% of respondents ranked the top 4 collaboration features as “important”.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Data scientists also rely on data analytics to understand datasets and develop algorithms and machine learning models that benefit research or improve business performance. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Jedox

OCTOBER 22, 2020

In working with clients, these are some of the most common “pain points” I routinely address: Difficulty in extracting data out of legacy systems. Limited self-service reporting across the enterprise. Inability to get data quickly. Data accuracy concerns. More time spent accessing data vs. making data-driven decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56