AWS Big Data

MARCH 13, 2024

By tracking these assets in real time and storing the results, asset owners can derive valuable insights on how their assets are being used to continuously deliver business improvements and plan for future changes. Overview of solution This is a fully serverless solution for location-based asset management.

Analytics 92

Analytics IoT Metadata Internet of Things 92

AWS Big Data

APRIL 24, 2024

You can now use EMR Serverless applications as the compute, in addition to Amazon EMR on EC2 clusters and Amazon EMR on EKS virtual clusters, to run JupyterLab notebooks from EMR Studio Workspaces. Create a new application. For Name , enter a name (for example, my-serverless-interactive-application ).

Interactive 75

Interactive Visualization Big Data Management 75

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. As you read this, just remember the most important message: the natural data structure of the world is not rows and columns, but a graph.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smarten

MAY 18, 2022

Business goals include improving results and productivity, and getting the best results out of your data, as well as gaining meaningful insight into data. If a user can quickly and easily ask a question without having to find and choose columns or fields, they can avoid the time and complexity of putting together an effective search.’. ‘If

Data-driven 67

Data-driven Sales Metrics Testing 67

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. The solution uses Kinesis Data Streams to capture item-level changes from an application DynamoDB table. Prerequisites You must have the following: An AWS account. dependentIds"."L".

Data Warehouse 82

Data Warehouse Analytics Metadata Dashboards 82

TDAN

SEPTEMBER 1, 2020

The background to this column is simple. A few weeks ago, Len Silverston and I wound up discussing the application of the insights, philosophy, and practices we have learned in our mutual study of Aikido and other martial arts. This led to Len setting me a challenge to write about how the teachings of 16th […].

Data Governance 59

Data Governance Data Strategy Strategy Management 59

AWS Big Data

DECEMBER 13, 2023

To gain deeper and richer insights, you can bring all the changes from different data silos into one place, like data warehouse. Redshift streaming ingestion provides low latency, high-throughput data ingestion, which enables customers to derive insights in seconds instead of minutes. Then you need to update the coalesce(payload.after."CUST_ID",payload.before."CUST_ID")::varchar

Data Warehouse 96

Data Warehouse Snapshot Data Processing Management 96

CIO Business Intelligence

JULY 21, 2022

In fact, Feld has such an extensive leadership playbook that we recorded a special two-part episode of the Tech Whisperers podcast to capture his wisdom and insights. It’s going to be pretty black-and-white: If there’s a survive column, a thrive column, and an extinction column, the survive column is going to go away.

IT 113

IT Consulting Technology Software 113

AWS Big Data

APRIL 4, 2024

Python Griffin helps you calculate count and row- and column-level validation, identifying mismatched records without writing any code. With a wealth of experience in software development, architecture, and analytics across diverse sectors such as finance, telecom, retail, and healthcare, he brings invaluable insights to his role.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

AWS Big Data

JANUARY 30, 2023

x applications faster and at lower cost without requiring any changes to your applications. In this post, we analyze the results from our benchmark tests running a TPC-DS application on open-source Apache Spark and then on Amazon EMR 6.9, Amazon EMR pricing is for EMR applications running on EMR clusters with EC2 instances.

Testing 66

Testing Data Lake Big Data Optimization 66

AWS Big Data

JANUARY 31, 2023

Amazon EMR is a managed cluster platform to run big data applications using Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto at scale. With the release of Lake Formation permissions management on a runtime IAM role , Studio now supports table-level and column-level access with Lake Formation.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. The solution and pattern presented in this post is equally applicable to larger operational analytics and observability use cases.

Analytics 119

Analytics Data Processing Optimization Metrics 119

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This reduces the time to discover, analyze, and create new insights. We focus on the former.

Technology 80

Technology Data-driven Machine Learning Sales 80

AWS Big Data

MARCH 27, 2024

Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their business users. Sharing can occur at various levels such as databases, schemas, tables, views, columns, and user-defined functions, offering fine-grained access control.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

AWS Big Data

DECEMBER 12, 2023

An IAM emr_serverless_execution_role job execution role with permissions to run an EMR Serverless application and read from S3 buckets, and iam:PassRole permission to the Amazon MWAA cluster execution role. Unlike EMR on EC2, you do not need to delete or terminate EMR Serverless applications.

Data Processing 87

Data Processing Management Statistics Interactive 87

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. Data discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects.

Data Governance 93

Data Governance Unstructured Data Metadata Data Lake 93

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

AWS Big Data

MAY 18, 2023

Deriving insight from data is hard. reset_index(level=0) # Set meaningful column names pdf_means.columns = ["excel_column", "excel_average"] # We want to use this to enrich a Spark DF representing a huge table # convert to standard Spark DF so we can use the start API sdf_means = ps.from_pandas(pdf_means).to_spark()

Testing 75

Testing Data Lake Cost-Benefit Data Integration 75

Smart Data Collective

MARCH 22, 2019

There are countless applications of machine learning in 2019. When you are developing machine learning algorithms, it can be tempting to program them to formulate new insights from limited data sets. You need large amounts of data to get enough variance to draw accurate insights. The problem with this is caused by data dredging.

Machine Learning 49

Machine Learning Technology IT Big Data 49

FineReport

MARCH 7, 2024

Complete the Gantt Chart and Preview Presented below is an illustrative Gantt chart crafted using FineReport , showcasing the meticulous application of style settings to enhance visual appeal and functionality. Add two auxiliary columns, easily calculated with formulas. Bind Gantt Chart Data 3.1.4 Try FineReport Now 3.2

Visualization 52

Visualization Reporting Software Business Intelligence 52

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) 4) Credit Card Fraud Alerts. (5)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. Not only is this expensive, but the results often don’t translate into the key insights needed to deliver better business decisions or more efficient processes.

IT 69

IT Cost-Benefit Data-driven Technology 69

IBM Big Data Hub

JULY 5, 2022

Db2’s decades of innovation and expertise running the most demanding transactional, analytical, and operational workloads have culminated today in the 2022 Gartner Peer Insights Customers’ Choice distinction for Cloud Database Management Systems. . Norfolk-Southern Corp’s 24/7 insights boost customer satisfaction .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. There’s no need to write any SQL code or have AI uncover hidden insights.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

Cloudera

DECEMBER 21, 2020

Creating custom application . Then she moves on to the schema view, to validate the profiler stats to get some idea of the shape of the data as well as introspect what columns are available in the tables. However, one thing that sticks out from a security perspective is the customerID column. Exploration & discovery.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It is structural and describes data objects such as tables, columns, rows, indexes and connections. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g.,

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

MAY 10, 2023

AnyCompany wants to build a new dashboard with quote history data for analysis and business insights. This key is generated and stored by Secrets Manager and should be accessible only to allowed applications. AnyCompany wants to store the quote negotiation history that includes generated, reviewed, and accepted quotes.

Dashboards 73

Dashboards Data Warehouse Visualization Data Processing 73

Sisense

APRIL 15, 2021

Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Artificial intelligence combined with analytics enhances every application! It’s the present, too, but you already know that. Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

AWS Big Data

MARCH 27, 2023

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless. Choose Create Report.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. They can both be joined by the TransactionID column.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. For this post, we use the Athena console.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Octopai

FEBRUARY 12, 2020

These include: – Columns that contain unique identifiers, allowing for easier data navigation. – Permissible inputs for particular data, such as the allowed values in a specific row or column. – Text descriptions of data objects that allow for greater interpretation and application of data than a basic label.

Metadata 54

Metadata Enterprise Management Data Warehouse 54

DataRobot

JUNE 22, 2021

We’ll be using a dataset that contains job applications and training a model to predict if the candidates were hired or not. The green column is our target, and the yellow columns are Protected Features, or features we want to examine for model bias. The Cross-Class Data Disparity insight can help you discover these differences.

Metrics 52

Metrics Testing Modeling Measurement 52

AWS Big Data

APRIL 26, 2023

Huron’s consultants leverage the products to provide insights as part of consulting engagements. The insights from the product help Huron’s consultants accelerate their customer’s transformation. To maintain the integrity of embedded visualizations, all metadata and lineage must be available to the parent application.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. The history database captures information about user activity such as queries, query plans, table access, column access, session creation, and failed authentication requests. The table has three columns and a primary key.

Data Warehouse 84

Data Warehouse Data Processing Data Lake Management 84

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Today, mobile analysis applications seamlessly integrate with everyday business tools.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Sisense

JULY 2, 2020

When companies use cloud applications (for example, Salesforce) they need to get that data from the cloud and into their databases for analysis. Skyvia is a cloud data integration solution, which can easily replicate data from Salesforce and other cloud applications to SQL Server as well as other database servers and cloud warehouses.

Data Warehouse 98

Data Warehouse Data Integration Software Marketing 98