CIO Business Intelligence

JUNE 28, 2022

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 136

Management Internet of Things Statistics Data-driven 136

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.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. Grant the IAM role used in the Athena workgroup s3:DeleteObject permission to an S3 bucket and prefix for cleanup.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 103

Data Warehouse Testing Data Quality Reporting 103

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. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University. Introduction.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Organizations need to recast storing their data.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Sisense

MAY 27, 2019

That means there’s one Hell of a lot of data running through your organization. So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Digging Deep For Data Diamonds – The Data Engineer. Data’s like diamonds. That’s the job of the data engineer.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Modeling 95

Modeling Metadata Data Processing Unstructured Data 95

bridgei2i

JANUARY 25, 2022

The Basic Guide to Data Science at the Workplace. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. And now you’re a data scientist.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

datapine

APRIL 28, 2023

Table of Contents 1) What Are Data Types? 2) The Need For Data Types 3) List Of Common Data Types a) Primitive Data Types b) Composite Data Types c) Abstract Data Types In our digitally-driven age, data is permeating every industry and business function at an increasing pace.

Reporting 200

Reporting Data-driven Visualization Interactive 200

AWS Big Data

SEPTEMBER 20, 2023

IAM VPC rules – You can require your users to use (or restrict them from using) certain VPCs or subnets for the sessions, to comply with your corporate policies and have control over how your data travels in the network. Optionally, if you want to use run a local notebook from your computer, install Python 3.7

Interactive 94

Interactive Management Reporting IT 94

O'Reilly on Data

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code.

IT 346

IT Testing Experimentation Software 346

Occam's Razor

OCTOBER 21, 2013

That of course will mean more referring keyword data will disappear. At the moment it is not clear whether Bing, Baidu, Yandex and others will move to similarly protect users’ search privacy; if and when they do, the result will be loss of even more keyword-level user behavior data. Alternatives For Keyword Data Analysis.

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Optimization Reporting Experimentation Metrics 154

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools. Data Languages.

Data Science 145

Data Science Visualization Modeling Enterprise 145

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

FEBRUARY 6, 2023

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud at scale. A data pipeline is a set of tasks and processes used to automate the movement and transformation of data between different systems.­

Management 83

Management Interactive Metadata Publishing 83

AWS Big Data

NOVEMBER 30, 2023

In this post, we explore how to use the AWS Glue native connector for Teradata Vantage to streamline data integrations and unlock the full potential of your data. Businesses often rely on Amazon Simple Storage Service (Amazon S3) for storing large amounts of data from various data sources in a cost-effective and secure manner.

IT 94

IT Visualization Machine Learning Data Integration 94

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

MARCH 1, 2023

As a critical component of the IT infrastructure, it is necessary to track Amazon MSK clusters’ operations and their efficiencies. This feature enables you to scrape a Prometheus friendly API to gather all the JMX metrics and work with the data in Prometheus. Why is Kafka monitoring critical?

Management 69

Management Metrics Dashboards Visualization 69

IBM Big Data Hub

JANUARY 10, 2023

In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. When MapReduce is not enough MapReduce is a great tool for single-stage parallel data processing.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. and 2.6) [ in the book].

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). Storing different types of data in a single table allows you to retrieve multiple, heterogeneous item types using a single request. These types of queries are suited for a data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program? Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Here are the questions as they were tracked through the webinar.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52