O'Reilly on Data

MARCH 24, 2020

However, attempting to repurpose pre-existing data can muddy the water by shifting the semantics from why the data was collected to the question you hope to answer. ” One of his more egregious errors was to continually test already collected data for new hypotheses until one stuck, after his initial hypothesis failed [4]. .”

Machine Learning 363

Machine Learning Statistics Data Quality Data Collection 363

Smart Data Collective

MAY 18, 2022

Data analytics is an invaluable part of the modern product development process. Companies are using big data for a variety of purposes. Advances in data analytics have raised the bar with QA standards. Companies need to invest in higher quality data analytics solutions to make the most of their QA methodologies.

Testing 126

Testing Data Analytics Analytics Big Data 126

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

AWS Big Data

DECEMBER 27, 2024

To assess the Spark engines performance with the Iceberg table format, we performed benchmark tests using the 3 TB TPC-DS dataset, version 2.13 (our results derived from the TPC-DS dataset are not directly comparable to the official TPC-DS results due to setup differences). No precalculated statistics were used for these tables.

Cost-Benefit 102

Cost-Benefit Testing Metrics Optimization 102

AWS Big Data

OCTOBER 1, 2024

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Performance was tested on a Redshift serverless data warehouse with 128 RPU.

Data Lake 105

Data Lake Statistics Broadcasting Optimization 105

Smart Data Collective

SEPTEMBER 22, 2021

In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. Cyber fraud statistics and preventions that every internet business needs to know to prevent data breaches in 2021. You also need to retain cybersecurity professionals with a background in big data.

Statistics 133

Statistics Risk Measurement Software 133

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

Statistics 113

Statistics Data Lake Optimization Data-driven 113

Smart Data Collective

SEPTEMBER 15, 2019

Big data is changing the financial industry in a truly astounding way. Hussain of Atos Spain published a white paper on the growing relevance of big data in the finance and insurance verticals. Financial professionals aren’t the only ones utilizing big data to make more informed financial decisions.

Big Data 108

Big Data Machine Learning Risk Insurance 108

datapine

JANUARY 24, 2021

“Today, big data is about business disruption. If you want to survive, it’s time to act.” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business. There are basically 4 types of scales: *Statistics Level Measurement Table*. This quote might sound a little dramatic.

IT 317

IT Statistics KPI Data-driven 317

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 Data Collection Measurement 103

AWS Big Data

JANUARY 9, 2025

Our benchmarks show that Iceberg performs comparably to direct Amazon S3 access, with additional optimizations from its metadata and statistics usage, similar to database indexing. The following is the code for vanilla Parquet: spark.read.parquet(s3://example-s3-bucket/path/to/data).filter((f.col("adapterTimestamp_ts_utc")

Metadata 106

Metadata Snapshot Cost-Benefit Optimization 106

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. One of the visualizing data best books available today. Your Chance: Want to test a powerful data visualization software? datapine is filling your bookshelf thick and fast.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Has the cost of data installation and maintenance increased with each passing day at your company? What exactly is Big Data, but why is it so important? Enterprise-wide Big Data Analytics solutions are being implemented.

Data Analytics 137

Data Analytics Analytics Big Data Key Performance Indicator 137

Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Statistical methods for analyzing this two-dimensional data exist.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. As a machine learning engineer, you would create data funnels and deliver software solutions.

Data Science 144

Data Science Machine Learning Statistics Business Intelligence 144

Rocket-Powered Data Science

JULY 6, 2023

I tested ChatGPT with my own account, and I was impressed with the results. It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. LLMs are so responsive and grammatically correct (even over many paragraphs of text) that some people worry that it is sentient. Guess what?

Statistics 152

Statistics Deep Learning Machine Learning Enterprise 152

Smart Data Collective

FEBRUARY 17, 2021

Big data has had a tremendous affect on the healthcare sector. While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges. We talked about some of the biggest ways that big data can influence healthcare. Electronic medical records (EMRs).

Big Data 89

Big Data Software Marketing Snapshot 89

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 127

Data Science Machine Learning Predictive Modeling Forecasting 127

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 132

Data Architecture Data Warehouse Statistics Visualization 132

Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role.

Data-driven 140

Data-driven Big Data Marketing IoT 140

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. They can be again classified as random testing and optimization.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

O'Reilly on Data

MAY 21, 2019

Thus, many developers will need to curate data, train models, and analyze the results of models. With that said, we are still in a highly empirical era for ML: we need big data, big models, and big compute. A typical data pipeline for machine learning. Source: O'Reilly.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

The Unofficial Google Data Science Blog

SEPTEMBER 30, 2016

SCOTT Big data is new and exciting, but there are still lots of small data problems in the world. Many people who are just becoming aware that they need to work with data are finding that they lack the tools to do so. The statistics app for Google Sheets hopes to change that. By STEVEN L.

Statistics 55

Statistics Big Data Data Science Marketing 55

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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 124

Optimization Statistics Metadata Data Lake 124

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. This has led to rapid advancements, as the field’s interdisciplinary nature combines mathematics, statistics, computer science and business knowledge in new and novel ways. Computer Science Skills.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Sisense

MARCH 4, 2019

The world of data is now the world of Big Data. We produce more and more data every day and the datasets being generated are getting more and more complex. Approximate Query Processing (AQP) removes the need to query the entire Big Data set and serves up usable results rapidly. Conclusion.

Big Data 68

Big Data Data Analytics Analytics IoT 68

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. Data Warehousing.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

CIO Business Intelligence

AUGUST 9, 2022

But data engineers also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects. Data engineers and data scientists often work closely together but serve very different functions. Becoming a data engineer.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Smart Data Collective

FEBRUARY 21, 2021

. “If your data can get you in the minds of your target audience (customers and prospects) then it’s worth every bit of effort. Else, it is just a set of numbers that will end up as statistics. Here, I list down 10 ways to help you plan a more data-driven lead generation process.” Learn their traffic statistics, GEO.

Data Analytics 118

Data Analytics Strategy Analytics Data-driven 118

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. Big data helps better understand your customers, adjust your strategy according to the obtained results, and even decide on the further development of your product line.

Data-driven 110

Data-driven Sales Big Data Marketing 110

Smart Data Collective

AUGUST 15, 2019

Market Testing. Data makes it possible to target your ideal demographic seamlessly. For example, Chime Bank used artificial intelligence to test 216 versions of its homepage in just three months. However, 77% of those turnovers could be prevented using big data. And big data is key.

Big Data 106

Big Data Sales Testing Statistics 106

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. It stores the data of every partner business entity in an exclusive micro-DB while storing millions of databases.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. Big data is changing our world.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

AWS Big Data

DECEMBER 17, 2024

In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads. Seamless Lakehouse architectures Lakehouse brings together flexibility and openness of data lakes with the performance and transactional capabilities of data warehouses.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81