CIO Business Intelligence

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

Rocket-Powered Data Science

JULY 6, 2023

It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. That scenario is being played out again with ChatGPT and prompt engineering, but now our queries are aimed at a much more language-based, AI-powered, statistically rich application. Guess what? It isn’t.

Statistics 152

Statistics Deep Learning Machine Learning Modeling 152

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety!

Big Data 103

Big Data Data Science Measurement Data Collection 103

datapine

MARCH 25, 2019

Having bestowed your data analysis techniques and methods with true purpose and defined your mission, you should explore the raw data you’ve collected from all sources and use your KPIs as a reference for chopping out any information you deem to be useless. Conduct statistical analysis.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

Smart Data Collective

NOVEMBER 29, 2019

Big data technology is essential to the field of robotics. Big data has made it easier than ever to automate certain processes with complicated robotic tools. These tools rely very heavily on big data technology. The Importance of Big Data in RPA. Big Data is Vitalizing the RPA Industry.

Big Data 54

Big Data Technology Cost-Benefit Insurance 54

Smart Data Collective

AUGUST 8, 2019

Big data is the lynchpin of new advances in cybersecurity. Datanami has talked about the ways that hackers use big data to coordinate attacks. Datanami has talked about the ways that hackers use big data to coordinate attacks. Sadowski said big data is to blame for a growing number of cyberattacks.

Big Data 85

Big Data Data Processing Machine Learning Predictive Analytics 85

AWS Big Data

MARCH 6, 2024

Amazon EMR empowers you to create, operate, and scale big data frameworks such as Apache Spark quickly and cost-effectively. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 96

Metrics Statistics Testing Data Lake 96

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

Optimization 114

Optimization Statistics Metadata Data Lake 114

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework? ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

FineReport

MARCH 17, 2024

This article aims to provide a detailed interpretation of the various elements of the boxplot, along with analysis and creation techniques, to aid in your journey as a data analyst. Also referred to as a box-and-whisker plot, this visualization method derives its name from its resemblance to a box. What is a Boxplot?

Statistics 98

Statistics Visualization Reporting Software 98

Sisense

MARCH 20, 2019

To do that, a data engineer needs to be skilled in a variety of platforms and languages. In our never-ending quest to make BI better, we took it upon ourselves to list the skills and tools every data engineer needs to tackle the ever-growing pile of Big Data that every company faces today. Python and R. Machine Learning.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

Rocket-Powered Data Science

MARCH 19, 2019

Diversity in data is one of the three defining characteristics of big data — high data variety — along with high data volume and high velocity. We refer to that remedy as the CCDI data & analytics strategy: Collect, Curate, Differentiate, and Innovate.

Big Data 192

Big Data Statistics Manufacturing Data Science 192

Smart Data Collective

SEPTEMBER 13, 2020

Big data is becoming more important to modern marketing. You can’t afford to ignore the benefits of data analytics in your marketing campaigns. Search Engine Watch has a great article on using data analytics for SEO. Keep in mind that big data drives search engines in 2020. Why Does Link Building Matter?

Data Analytics 100

Data Analytics Analytics Big Data Data mining 100

AWS Big Data

APRIL 3, 2024

For ADD_FILES options, you can use AWS Glue to generate Iceberg metadata and statistics for an existing data lake table and create new Iceberg tables in AWS Glue Data Catalog for future use without needing to rewrite the underlying data. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 96

Data Lake Snapshot Metadata Data Architecture 96

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). 5) Big Data Exploration. They cannot process language inputs generally.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

MARCH 13, 2024

Overview of OpenSearch Service OpenSearch Service is a managed service for secure analysis, search, and indexing of business and operational data. For more information on the choice of index algorithm, refer to Choose the k-NN algorithm for your billion-scale use case with OpenSearch. You can do that from the IAM console.

Data Processing 114

Data Processing Dashboards Machine Learning Management 114

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. It refers to datasets too large for normal statistical methods. Professionals have found ways to use big data to transform businesses.

Data mining 78

Data mining Big Data Data-driven Measurement 78

AWS Big Data

JANUARY 18, 2024

You can enhance the technical metadata of the Data Catalog using AI-powered assistants into business metadata of DataZone, making it more easily discoverable. DataZone automatically manages the permissions of your shared data in the DataZone projects. To learn more about DataZone, refer to the User Guide. Suivez les chiffres!

Data Lake 92

Data Lake Metadata Data Governance Statistics 92

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

AWS Big Data

JUNE 6, 2023

These are six main steps in the data pipeline: Amazon EventBridge triggers an AWS Lambda function when the event pattern for AWS Glue Data Quality matches the defined rule. For more information, refer to Working with Query Results, Output Files, and Query History. For S3 path , enter the S3 path to your data source. (

Data Quality 74

Data Quality Metrics Visualization Dashboards 74

AWS Big Data

NOVEMBER 20, 2023

On the Graphed metrics tab, configure your preferred statistic, period, and so on. For instructions, refer to Create a CloudWatch alarm based on a static threshold. Other enhanced metrics For a full list of other enhanced metrics available with AWS Glue jobs, refer to Monitoring with AWS Glue Observability metrics. Check it out!

Metrics 97

Metrics Data Lake Cost-Benefit Dashboards 97

Smart Data Collective

OCTOBER 17, 2022

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. A job is any unit of assigned work that will perform a specific said task related to data.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

Smart Data Collective

AUGUST 31, 2020

At Smart Data Collective, we have talked extensively about the benefits of big data in digital marketing. We have focused a lot on using data analytics for SEO. However, there are a lot of other benefits of using big data in marketing. Big data developments have heightened these benefits.

Data-driven 85

Data-driven Marketing Big Data Broadcasting 85

Smart Data Collective

JULY 16, 2023

Big data is the most important business trend of the 21st century. The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well.

ROI 71

ROI Data Analytics Analytics Risk Management 71

AWS Big Data

AUGUST 31, 2023

Amazon Redshift supports Apache Iceberg’s native schema and partition evolution capabilities using the AWS Glue Data Catalog , eliminating the need to alter table definitions to add new partitions or to move and process large amounts of data to change the schema of an existing data lake table.

Data Lake 95

Data Lake Data Warehouse Metadata Data Architecture 95

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Those who work in the field of data science are known as data scientists.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

FineReport

JUNE 11, 2021

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

AWS Big Data

JUNE 28, 2023

For more details, refer to the What’s New Post. For this illustration, we use a provisioned Aurora database and an Amazon Redshift Serverless data warehouse. For the complete list of public preview considerations, please refer to the feature AWS documentation. The following diagram illustrates the high-level architecture.

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. This beats projections for almost all other occupations. BI engineer. BI Project Manager.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

APRIL 13, 2023

FROM FLIGHT.FLIGHTS_TRAIN FT)) WITH DATA 2. Explore data In this step, I’ll look at both sample records and the summary statistics of the training dataset to gain insights into the dataset. outtable is the name of the table where SUMMARY1000 will store gathered statistics for the entire dataset. NOT IN(SELECT FT.ID

Modeling 85

Modeling Statistics Machine Learning Testing 85

AWS Big Data

JUNE 6, 2023

For our customers, setting up these data quality checks is manual, time consuming, and error prone. It takes days for data engineers to identify and implement data quality rules. They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Do you know what motivates your customers?

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. It is a definitive reference for anyone who wants to master the art of dashboarding. 14) “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121