CIO Business Intelligence

MARCH 15, 2022

Synthetic data is artificially generated information that can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume, or variety. To generate marketing imagery: Advertisers are already creating synthetic images to showcase their products. Synthetic data generation.

Strategy 145

Strategy Testing Modeling Sales 145

FineReport

DECEMBER 19, 2019

I know novices are very concerned about the learning process of data analysis. You may be full of doubts and yearnings for SQL, Python, R, etc. There are so many things to learn, which one should I learn? How do I learn, and to what extent? Second, learn SQL and understand the concept of database.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. The generated Airflow python code can be modified by end users to accommodate custom configurations and then uploaded as a new job. Looking forward.

Data Transformation 119

Data Transformation Interactive Machine Learning Testing 119

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 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. Operators can choose the time range, substation, or circuit to learn more granular information.

Dashboards 74

Dashboards Statistics Data Collection Business Intelligence 74

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets. We can analyze the data quality score and metrics using Athena SQL queries. To learn more about AWS Glue Data Quality, see the AWS Glue Data Quality Developer Guide. An AWS Glue crawler crawls the results.

Data Quality 68

Data Quality Metrics Visualization Dashboards 68

DataRobot

JUNE 9, 2021

Although the fields of machine learning and AI have begun to mature, there is often a lack of success in applying AI in organizations, an issue DataRobot calls the “AI production gap.” ” One of the leading common issues we see in the machine learning life cycle (feature engineering, training, scoring, etc.)

Machine Learning 52

Machine Learning Modeling Data Processing 52

AWS Big Data

JUNE 6, 2023

This is Part 3 of a five-post series on AWS Glue Data Quality. Provide your values for the MySQL endpoint (located on the CloudFormation stack’s Outputs tab), database user name, and database user password: $ mysql --host= --user= password= Download the SQL file. Evaluate the advanced data quality rules in the Data Catalog.

Data Quality 66

Data Quality Data Lake Visualization Data-driven 66

CDW Research Hub

JULY 29, 2019

Sirius is publishing a four-part series to demonstrate best practices in reusable patterns for initializing Snowflake environments. In Part 1 of our series, we created a how-to guide for faster initial setup of the Snowflake environment. Stay tuned—our series will also cover structures, roles and computes. Introduction.

Data Warehouse 74

Data Warehouse Measurement Testing Publishing 74

DataRobot

JUNE 4, 2021

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. is good, we want to improve the overall accuracy of our machine learning model. However, we’d like to let you in on a little secret.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Chloe Mawer presented “ The Ingredients of a Reproducible Machine Learning Model “ talk at a recent WiMLDS meetup.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

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. CustomSql Customers can implement almost any type of data quality checks in SQL.

Data Quality 92

Data Quality Statistics Data Lake Visualization 92

Ontotext

DECEMBER 2, 2021

In our previous blog posts of the series, we talked about how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts as well as how to adapt and scale our basic solution. Jupyter is a product that usually isn’t considered very visually appealing and it has a somewhat high learning curve.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

Cloudera

DECEMBER 21, 2020

You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks. This demo-guided blog aims to inspire further curiosity and learning, as well as fuel a fruitful, interactive dialogue – we welcome you to reach out to us if any particular part piques your interest. .

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

FineReport

DECEMBER 16, 2021

If you are considering learning or using PowerBI, welcome to read this post. Data sources can only be through SQL Server Analysis Services. Besides, Power BI cannot generate a real-time integrated model of data from different data sources. Power BI, from Microsoft, is a highly-rated business intelligence software.

Dashboards 52

Dashboards Reporting Visualization Business Intelligence 52

Sisense

JUNE 12, 2019

This is just the first of a long series of AI-driven capabilities that we will see throughout the product in the coming months. Sharpen your SQL/Python/R skills and jump into the editor that will come from our recent merger with Periscope Data which allows you to not only manage your own custom code but to tap into AutoML libraries.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

JUNE 29, 2022

Leaving aside more specialized options such as ingesting telemetry, sharing data externally, or building machine learning models to deliver specific analyses, there are still enough Azure analytics services that you might wonder which one is best suited for any given job. Microsoft. Azure Analysis Services. Azure Data Explorer.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

DECEMBER 7, 2023

With AWS Clean Rooms, you can create a secure data clean room in minutes and collaborate with any other company on Amazon Web Services (AWS) to generate unique insights. AWS Clean Rooms supports multiple industries and use cases, and this blog is the first of a series on types of proof of concepts that can be conducted with AWS Clean Rooms.

Measurement 89

Measurement Advertising Testing Data-driven 89

Ontotext

SEPTEMBER 23, 2021

This post continues our series aiming to provide the bigger picture of what we do and how our webinars fit into it. So, we started this series by introducing knowledge graphs & their application in data management and how to reason with big knowledge graphs & use graph analytics. All of our webinars are available on demand.

Optimization 97

Optimization Business Intelligence Data Collection Enterprise 97

AWS Big Data

OCTOBER 23, 2023

Athena Spark notebooks support PySpark and notebook magics to allow you to work with Spark SQL. Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference.

Data Lake 99

Data Lake Visualization Optimization Interactive 99

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. The GPT-series LLMs are also called “foundation models.” It has helped to write a book.

IT 262

IT Modeling Testing Risk 262

DataRobot Blog

NOVEMBER 3, 2022

Data scientists have used the DataRobot AI Cloud platform to build time series models for several years. On a personal level, you are generating and consuming forecasts every day in order to make better decisions. The DataRobot platform continues to enhance its differentiating time series modeling capabilities.

Forecasting 52

Forecasting Sales Modeling Data-driven 52

AWS Big Data

JULY 13, 2023

The Altron team created an AWS Glue crawler and configured it to run against Azure SQL to discover its tables. This step consists of two components: A set of AWS Glue PySpark jobs reads the source tables from Azure SQL and outputs the resulting data in the Amazon Simple Storage Service “Raw Zone”.

Optimization 87

Optimization B2B Data Quality Sales 87

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. This is Part 1 of a five-part series of posts to explain how AWS Glue Data Quality works. Review the AWS Glue Data Quality recommendations. parquet file.

Data Quality 71

Data Quality Data Lake Data-driven Metrics 71

Cloudera

MARCH 23, 2022

Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture. . Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1:

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

Ontotext

JANUARY 20, 2022

This next installment in our series of posts dedicated to Ontotext webinars has been long overdue. You will learn how to register external text mining services based on GATE, Spacy and Ontotext annotation services as well as how to transform external annotation models into RDF using SPARQL queries.

Enterprise 52

Enterprise Unstructured Data Modeling Visualization 52

IBM Big Data Hub

SEPTEMBER 19, 2022

IoT systems access millions of devices that generate large amounts of streaming data. Architects consider such a separation so they can choose a special-purpose database — such as a NoSQL database for document data — or a time-series database (key-value) for low costs and high performance. Supply chain optimization (in manufacturing).

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

DataKitchen

MAY 10, 2021

The data factory transforms raw materials (source data) into finished goods (analytics) using a series of processing steps (Figure 1). Best practices include continuous monitoring of machine learning models for degradations in accuracy. . Some argue that visual UI’s are better than SQL. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

FineReport

SEPTEMBER 28, 2021

If you are considering learning or using PowerBI, welcome to read this blog post. The vendor’s most famous and best-selling products are the Windows operating system and the Microsoft Office series of software. Data sources can only be through SQL Server Analysis Services. In addition, single sign-on is not supported.

Dashboards 98

Dashboards Reporting Visualization Business Intelligence 98

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Deep learning,” for example, fell year over year to No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. Support for languages and SQL. Data pipeline orchestration. Collaboration and governance. Model Drift.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Peter James Thomas

MAY 3, 2019

Regular readers will also recall my tripartite series on The Anatomy of a Data Function , which really focussed more on capabilities than purely organisation structure [1]. Leverage of Data to generate Insight. Most explicitly in my three-part series: Forming an Information Strategy: Part I – General Strategy.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

MARCH 21, 2024

This post is a continuation of the zero-ETL series that started with Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift. Zero-ETL integration works by using binary logs (binlogs) generated by MySQL database.

Data Warehouse 84

Data Warehouse Metrics Statistics Optimization 84

Cloudera

OCTOBER 20, 2020

Today we are introducing a new series of blog posts that will take a look at recent enhancements to Apache Impala. Impala is the first SQL engine that has effectively married this class of SQL optimizations with open file formats in the cloud storage context. Plan Generation. Runtime Code Generation. Introduction.

Modeling 104

Modeling Broadcasting Cost-Benefit Data Warehouse 104