AWS Big Data

OCTOBER 3, 2023

Open table formats, such as Apache Iceberg , provide a solution to this issue. In this post, we show you how you can convert existing data in an Amazon S3 data lake in Apache Parquet format to Apache Iceberg format to support transactions on the data using Jupyter Notebook based interactive sessions over AWS Glue 4.0. Choose ETL Jobs.

Data Lake 100

Data Lake Metadata Snapshot Recreation/Entertainment 100

AWS Big Data

MARCH 17, 2023

In this post, we present a solution that uses Uber’s Hexagonal Hierarchical Spatial Index (H3) to divide the globe into equally-sized hexagons. Solution overview The solution extends Athena’s built-in geospatial capabilities by creating a UDF powered by AWS Lambda. Open the notebook instance by choosing Jupyter or JupyterLab.

Visualization 91

Visualization Machine Learning Consulting Data Warehouse 91

IBM Big Data Hub

NOVEMBER 29, 2023

” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Speed and scalability : Downer efficiently adapted models to diverse data signals using tools like the Jupyter Notebook.

Predictive Modeling 70

Predictive Modeling Data-driven Forecasting Modeling 70

CIO Business Intelligence

MAY 12, 2022

Composite AI mixes statistics and machine learning; industry-specific solutions. SageMaker is a full-service platform with data preparation tools such as the Data Wrangler, a nice presentation layer built out of Jupyter notebooks, and an automated option called Autopilot. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

IBM Big Data Hub

DECEMBER 5, 2022

Together, we build and sell powerful solutions that elevate our clients’ businesses through digital transformation. To that end, IBM recently announced a set of embeddable AI libraries that empower partners to create new AI solutions. Furthermore, users can even take the solution to production using IBM Cloud Credits.

Modeling 57

Modeling Digital Transformation Interactive Software 57

FineReport

MARCH 24, 2024

Jupyter Notebooks: Simplifies code testing and collaboration for data analysis tasks. Commonly used tools include Microsoft Excel, Google Sheets, SQL, Tableau, R or Python, SAS, Microsoft Power BI , and Jupyter Notebooks. Jupyter Notebook supports exploratory data analysis and collaboration through a web-based platform.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. With Ontotext’s products , LAZY is firmly on the way towards finding a solution.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

AWS Big Data

APRIL 20, 2023

A Jupyter notebook to run using Amazon EMR Studio using Amazon EMR on an EC2 cluster A PySpark script to run using Amazon EMR Studio and Amazon EMR Serverless After the stack creation is complete, choose the stack name redshift-spark and navigate to the Outputs We utilize these output values later in this post.

Data Lake 75

Data Lake Data Warehouse Sales Data-driven 75

Sisense

MARCH 30, 2021

for a custom, integrated embedded analytics solution. With our latest release, you can leverage Python code from Jupyter Notebooks to connect to services such as Amazon SageMaker, Amazon Comprehend, and Amazon Translate to transform and augment data inside your ElastiCube models. Advanced data transformation with Custom Code.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

Domino Data Lab

JANUARY 11, 2021

Domino provides data scientists with the ability to run code either in workspace environments that provide IDEs such as Jupyter, R Studio or VS Code or conversely to create a job that runs a particular piece of code. About Snowflake. About Domino Data Lab. Domino Data Lab is the system-of-record for enterprise data science teams.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. It supports both Zeppelin and Jupyter notebooks — new or imported. The Perfect Complement. DataRobot + Zepl. Sign Up Now.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

Jen Stirrup

FEBRUARY 3, 2020

Microsoft provides a cloud hosted Jupyter Notebook solution with Azure Notebooks, which offer minimal overhead and opportunities for collaboration. This session is focused more on the destination of the data, rather than the journey. Fast Focus: Azure Notebooks for Artificial Intelligence.

Business Intelligence 49

Business Intelligence Data Processing Visualization Strategy 49

Domino Data Lab

JANUARY 6, 2019

We do not and cannot have a “one size fits all” solution for data science training. NASA persistently misspells Jupyter. In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! Translated: MOOCs are no panacea.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

CIO Business Intelligence

APRIL 22, 2022

While that may involve one-off projects, more typically data science teams seek to identify key data assets that can be turned into data pipelines that feed maintainable tools and solutions. Examples include credit card fraud monitoring solutions used by banks, or tools used to optimize the placement of wind turbines in wind farms.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Cloudera

AUGUST 17, 2023

And yet, in an effort to be first to market, many of the ML solutions in these fields have relegated security to an afterthought. With Cloudera’s new Powered by Jupyter (PBJ) ML Runtimes, integrating the ActiveState Platform-built Runtimes with CML has never been easier.

Software 70

Software Risk Manufacturing Finance 70

Jen Stirrup

MAY 5, 2020

You can use Eclipse technology, Jupyter and Zeppelin. In the Data Science world, Jupyter is very common. Apache Spark is an open source software solution until allows you to work on data that’s held in memory. We can also use it with Jupyter Notebooks as well. So, let’s take a look!

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

FineReport

JULY 28, 2021

By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. Because sending Jupyter Notebook or Python scripts to non-technical people will undoubtedly cause some problems, which prevents them from being widely promoted in the traditional business of large enterprises.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Ontotext

NOVEMBER 18, 2021

Through this series of blog posts, we’ll discuss how to best scale and branch out an analytics solution using a knowledge graph technology stack. Our main weapons when beating that beast will be GraphDB , Ontotext Platform , Kafka , Elasticsearch , Kibana and Jupyter.

Visualization 98

Visualization Reporting Metadata Enterprise 98

AWS Big Data

JUNE 6, 2023

Through its Super App, SumUp provides merchants with a free business account and card, an online store, and an invoicing solution – as well as in-person and remote payments seamlessly integrated with SumUp’s card terminals and point-of-sale registers. For more information, please visit sumup.co.uk.

Analytics 55

Analytics Data Lake Testing Optimization 55

Domino Data Lab

JANUARY 24, 2019

These solutions help data analysts build models by automating tasks in data science, including training models, selecting algorithms, and creating features. These solutions are targeted primarily at non-expert data scientists or a data scientist interested in short cutting a tedious steps in their process to build quick baseline models.

Data Science 65

Data Science Marketing Data-driven Statistics 65

AWS Big Data

OCTOBER 26, 2023

Overview of solution For this post, we create an ML model to predict if a transaction is fraudulent or not, given the transaction record. The following diagram illustrates solution architecture. Locate your notebook instance and choose Open Jupyter. Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

SEPTEMBER 18, 2023

Solution overview For this post, you use the CSV eSports Earnings dataset , available to download via Kaggle. Prerequisites Our solution has the following prerequisites: Set up AWS Glue Studio. Select Jupyter Notebook and choose Create. Configure an AWS Identity and Access Management (IAM) role to interact with CodeWhisperer.

Data Integration 94

Data Integration Big Data Interactive Software 94

Domino Data Lab

JULY 22, 2019

They were pursuing pretty much the same solution to it. You started to see point solutions. There are projects, like Project Jupyter – as far as open source, the protocol, the open standard part of Jupyter is really accounting for this, more than many others. By that point, they had all reached the same conclusion.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

JANUARY 30, 2019

Data scientists often use Jupyter or Zeppelin notebooks as convenient, open source, free and extensible tools supporting many open source languages and libraries for development, visualization and sharing.

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

AWS Big Data

SEPTEMBER 20, 2023

This technology is enabled by the use of notebook IDEs, such as the AWS Glue Studio notebook, Amazon SageMaker Studio , or your own Jupyter notebooks. Users can run AWS Glue interactive sessions by using both AWS Glue Studio notebooks via the AWS Glue console, as well as Jupyter notebooks that run on their local machine.

Interactive 94

Interactive Management Reporting IT 94

Domino Data Lab

DECEMBER 4, 2020

Simulation of NLME model using differential equations or analytical solutions. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The framework can facilitate a wide range of analytics task, including but not limited to: Non-compartmental Analysis.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. How can the solution be abused? If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

O'Reilly on Data

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. To plug this gap, frameworks like Metaflow or MLFlow provide a custom solution for versioning.

IT 346

IT Testing Experimentation Software 346

AWS Big Data

FEBRUARY 1, 2024

Solution overview In the following sections, we first introduce the Common Crawl dataset and how to explore and filter the data we need. SageMaker JumpStart provides a set of solutions for the most common use cases that can be deployed with just a few clicks. The following diagram illustrates the architecture of this solution.

Modeling 94

Modeling Metadata Data Processing Unstructured Data 94

AWS Big Data

SEPTEMBER 29, 2023

Solution overview We explore two distinct techniques that can streamline your XML file processing workflow: Technique 1: Use an AWS Glue crawler and the AWS Glue visual editor – You can use the AWS Glue user interface in conjunction with a crawler to define the table structure for your XML files. Select Jupyter Notebook and choose Create.

Metadata 65

Metadata Visualization Data-driven Optimization 65

AWS Big Data

JULY 6, 2023

Solution overview To achieve our goal, we use parallel Lambda functions. Deployment of this solution: In this post, we provide step-by-step instructions to deploy each part of the architecture manually. The following screenshot illustrates running the preceding code in a Jupyter notebook.

Machine Learning 127

Machine Learning Visualization IoT Digital Transformation 127

Cloudera

NOVEMBER 17, 2021

In recognition of the diverse workload that data scientists face, Cloudera’s library of Applied ML Prototypes (AMPs) provide Data Scientists with pre-built reference examples and end-to-end solutions, using some of the most cutting edge ML methods, for a variety of common data science projects. AutoML with TPOT.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Domino Data Lab

JUNE 2, 2019

It’s that practice of engineering at Netflix which I find so interesting – really since Ariel Tseitlin led Cloud Solutions there. For example, while enjoying dinner the evening before Rev, a close friend questioned the use of Jupyter beyond exploratory data science. Jupyter fits brilliantly for that purpose. — Randi R.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

O'Reilly on Data

FEBRUARY 11, 2020

Data quality solutions almost always boil down to two big issues: politics and cost. Another one-fifth use a notebook environment (such as Jupyter ). The problem (and partial solution) is that they need quality data to power their AI projects. The remaining 50% (i.e., This includes deciding what is not worth addressing.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

Domino Data Lab

OCTOBER 23, 2019

Often it is easy to collect data manually, that is, downloading from a web site and cleaning it up manually in Excel, Jupyter Notebook, or RStudio. Install a few packages that we will use for this chapter: i.e., Pandas, Jupyter. To inspect the data, start a Jupyter Notebook using the command: jupyter notebook.

Statistics 59

Statistics Machine Learning Testing Modeling 59

CIO Business Intelligence

OCTOBER 7, 2022

BI developers, with an average salary of $83,091, work with databases and software to develop and fine-tune IT solutions. The cert demonstrates that you are up-to-date with BI technologies and are knowledgeable about best practices, solutions, and emerging trends.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

DataRobot Blog

FEBRUARY 21, 2022

As a Data Scientist at heart and through direct work with our customers and community, I am sharing my observations about the advantages and challenges different notebook solutions bring to the table. Open Source vs. Cloud-Integrated Solutions. What different visualizations does the solution support?

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52