DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Amazon DataZone now integrates directly with AWS Glue to display data quality scores for AWS Glue Data Catalog assets.

Data Quality 85

Data Quality Visualization Metadata Metrics 85

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? What should I track? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data. Query the data using Athena.

Snapshot 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

FineReport

DECEMBER 9, 2021

A business intelligence strategy is a framework that enables enterprises to use the right BI tools to analyze the correct data and then report to the right people to aid in making the right decisions. These goals include optimizing current business processes, creating top-notch products and services, and becoming a data-driven business.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. How the models are stored.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

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

JUNE 5, 2023

By upgrading, you can take advantage of the latest capabilities of the Apache Airflow platform and maintain compatibility with new features and best practices like data-driven scheduling and new Amazon provider packages released in Apache Airflow 2.4.3. and above use Python v3.10, while older Apache Airflow versions use Python v3.7.

Snapshot 73

Snapshot Metadata Testing Data-driven 73

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

JUNE 13, 2023

But now many are recognizing that data may be used in different ways and maybe access needs to be more regulated. The biggest worries are coming from websites that recognize how their data may be used to train AI models. Some are afraid that the models built from scraping their site will misuse or misunderstand the data.

IT 139

IT Scorecard Software Modeling 139

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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

CIO Business Intelligence

MARCH 16, 2022

The pace of technology has evolved so rapidly over the last few years, multiplied by the pandemic, that it’s hard to keep track — and what’s most in demand today may be obsolete tomorrow. Identifying which emerging technologies will prove most useful is a challenge, though. Consider the constants.

Forecasting 95

Forecasting Machine Learning Technology Enterprise 95

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

DataRobot

JUNE 23, 2021

As they strive to improve models, data scientists continually try new approaches to refine their predictions. To help data scientists experiment faster, DataRobot has added Composable ML to automated machine learning. Composable ML then lets you add new types of feature engineering or build entirely new models. Run AutoPilot.

Machine Learning 52

Machine Learning Modeling Experimentation Visualization 52

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia. Amazon, Capgemini, and IBM.

Business Analysis 93

Business Analysis Testing Business Analytics Statistics 93

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 101

Data Warehouse Testing Data Quality Reporting 101

AWS Big Data

APRIL 17, 2023

We have built data pipelines to process, aggregate, and clean our data for our forecasting service. With the growing interest in our services, we wanted to scale our batch-based data pipeline to process more historical data on a daily basis and yet remain performant, cost-efficient, and predictable.

Forecasting 76

Forecasting Cost-Benefit Optimization Testing 76

DataRobot Blog

MARCH 10, 2022

By utilizing artificial intelligence, organizations can dissolve production bottlenecks, track and minimize/maximize critical KPIs like scrap rate and production rates, and get ahead of the power curve to accelerate their distribution and delivery channels. Time-Series Forecasting?—? Leveraging Snowflake and DataRobot for Speed and Scale.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

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 74

Data Lake Data Warehouse Sales Data-driven 74

The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

We will continue to bring you posts from the range of data science activities at Google. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. At Google we’re always looking for talented people, and we’re interested in hiring great data scientists.

Statistics 75

Statistics Data Science Machine Learning Sales 75

DataRobot

SEPTEMBER 17, 2021

Other companies implement decision rules, but do it by writing their own Python, Java or SQL. Some companies use dedicated business rules engines, but many of these rules engines aren’t designed to work with machine learning. It’s Time to Move Beyond Predictions. Over time, they layer on more intelligence. Want to Learn More?

Forecasting 52

Forecasting Predictive Modeling Machine Learning Cost-Benefit 52

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

IBM Big Data Hub

SEPTEMBER 7, 2022

There are still not enough data experts out there, even as the world of data evolves rapidly. We started the Summer School for Data Leaders five years ago to create a community for data experts to share ideas and relate to people facing similar challenges. Data ethics is top of mind. The community is growing.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW? Install any library or framework (e.g.

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. Support for Python, R, and Scala. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. for the Oracle Big Data Appliance.)

Data Science 40

Data Science Deep Learning Big Data Software 40

Sisense

FEBRUARY 3, 2020

Innovating and experimenting with new ideas are core parts of our DNA; our R&D and AI teams never stop building the future of data. The Hackathon is a very human celebration,” said Lio Fleishman, one of the organizers and a Solutions Engineer in our Partnerships and Alliances team. “We

Machine Learning 97

Machine Learning Visualization Management Analytics 97

Cloudera

FEBRUARY 8, 2023

For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. appName( "Churn Analysis Data Preparation Test Harness" ) .getOrCreate() json('data/df_baseline') stayed_baseline.write.mode("overwrite").json('data/stayed_baseline') distinct().collect()

Measurement 56

Measurement Testing Cost-Benefit ROI 56

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

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. For ingesting these external data sources, Vector databases have evolved, which can store vector embeddings of the data source and allow for similarity searches.

Data Processing 107

Data Processing Dashboards Machine Learning Management 107

Data Science 101

MAY 6, 2019

At Springboard , we recently sat down with Michael Beaumier, a data scientist at Google, to discuss his transition into the field, what the interview process is like, the future of data wrangling, and the advice he has for aspiring data professionals. in physics and now you’re a data scientist. That’s what I would say.

Data Science 98

Data Science Modeling Machine Learning Testing 98

Jen Stirrup

SEPTEMBER 19, 2019

360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases. Power BI and Marketing Data.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

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.

Optimization 154

Optimization Reporting Experimentation Metrics 154

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

Insight

AUGUST 17, 2020

The Remote Experience While this was the first session for Insight in which all Fellows participated remotely, we’ve been offering a remote data science program since 2015. Program Operations Team provides expertise for managing the crucial program operations (communications, planning, logistics, tracking, etc.)

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63