Cloudera

OCTOBER 11, 2022

This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. The challenge for AI is how to do data in all its complexity – volume, variety, velocity.

Snapshot 96

Snapshot Data Science Digital Transformation Metadata 96

Smarten

NOVEMBER 23, 2023

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

Cloudera

AUGUST 8, 2022

Exploratory data science and visualization: Access Iceberg tables through auto-discovered CDW connection in CML projects. Time Travel: Reproduce a query as of a given time or snapshot ID, which can be used for historical audits and rollback of erroneous operations, as an example. FOR SYSTEM_VERSION AS OF 7445571238522489274.

Snapshot 95

Snapshot Data Warehouse Machine Learning Cost-Benefit 95

Andrew White

JULY 23, 2019

Here is a snapshot from our growing new set of data and analytics case studies. D&A Strategy: Continuously Market-Tested Data & Analytics Strategy (UrbanShopping*) 710519. Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Redefining Analysts as Decision Experts (Philips) 709554.

Snapshot 73

Snapshot Analytics Machine Learning Data Quality 73

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. About Domino Data Lab. Introduction. About Snowflake.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Rocket-Powered Data Science

OCTOBER 16, 2020

senior executives across eight industries: agriculture, banking, exhibitions, government, healthcare, insurance, legal, and science/medical. But it was not just a snapshot on the state of AI in 2020. In the recent 2020 RELX Emerging Tech Study , results were presented from a survey of over 1000 U.S.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

Smart Data Collective

OCTOBER 7, 2023

Marco Cerliani has a great article in Towards Data Science on the benefits of AI in the people tracing field. Delivery Details: Purchase histories, delivery addresses, and contact information provide a snapshot of a person’s habits and whereabouts.

Technology 92

Technology Snapshot Data-driven Machine Learning 92

Cloudera

AUGUST 3, 2022

The introduction of “Secure Access” mode to HWC avoids these drawbacks by relying on Hive to obtain a secure snapshot of the data that is then operated upon by Spark. If you are already a user of HWC, you can continue using hive.executeQuery() or hive.sql() in your Spark application to obtain the data securely. . df.show().

Snapshot 92

Snapshot Cost-Benefit Machine Learning Data Transformation 92

Smart Data Collective

JUNE 24, 2022

Quicker Snapshots of the Future. One big reason business owners continue to be interested in data science and data scientists, in general, is because they can help analyze loads of information. The following are some major benefits of predictive analytics for businesses big and small.

Predictive Analytics 79

Predictive Analytics Analytics Snapshot Cost-Benefit 79

datapine

OCTOBER 14, 2020

Similar to drill-throughs, this feature is used in an interactive data dashboard when we don’t want to overcrowd the visuals with multiple charts but simply dig deeper into the data right at our fingertips and provide additional information to the questions that might arise. 4) Cross Tab Filters. 10) Dashboard Widget Linking.

Dashboards 235

Dashboards Interactive Reporting KPI 235

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Smart Data Collective

JUNE 17, 2019

But data conferences arguably offer some of the best opportunities to experience the most forward-thinking personalities and cutting-edge ideas in technology and data science fields. You won’t find material anywhere that’s more up-to-date than what you’ll get from presenters at data conferences.

Snapshot 71

Snapshot Data Science Big Data Marketing 71

Juice Analytics

OCTOBER 1, 2018

He also sees opportunity for offensive data strategies at that those organizations with decentralized IT environments and where “Multiple Versions of the Truth” are encouraged. Nevertheless, they are sitting on tons of valuable data that can shape conversations and influence the decisions of their constituents.

IT 69

IT Snapshot Consulting Data Strategy 69

AWS Big Data

AUGUST 16, 2023

Time travel Time travel queries in Athena query Amazon S3 for historical data from a consistent snapshot as of a specified date and time. Version travel queries in Athena query Amazon S3 for historical data as of a specified snapshot ID. Iceberg tables provide the capability of time travel.

Data Lake 72

Data Lake Metadata Testing Snapshot 72

Sisense

APRIL 7, 2020

A lot goes into making ML a reality for companies with complex data, but BigQuery ML simplifies the process, allowing data scientists to quickly create a prototype for their more advanced analytics use cases in record time. That makes BigQuery ML ideal for smaller data science teams with limited budgets, but big data needs.

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. Over the years, he has helped multiple customers on data platform transformations across industry verticals. His core area of expertise include Technology Strategy, Data Analytics, and Data Science.

Data Lake 71

Data Lake Testing Snapshot Sales 71

AWS Big Data

OCTOBER 18, 2023

Deselect Create final snapshot. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises. Anusha is passionate about data analytics and data science and enabling customers achieve success with their large-scale data projects.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

O'Reilly on Data

MARCH 20, 2019

Especially in today’s overheated and turnover-prone data “science” market.) Such complexity can be problematic for at least two reasons: A dedicated, motivated attacker can, over time, learn more about your overly complex blackbox modeling system than you or your team knows about your own model.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

datapine

APRIL 11, 2019

Your conclusions and ideas need to be backed by data, science, and facts – otherwise, and especially in business, you might not be taken seriously. By adding some anecdotes, personal life experiences that everyone can relate to, or culturally shared moments and jokes. However, do not rely just on emotions to make your point.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Insight

NOVEMBER 14, 2019

Snapshot of interactive visualization of the topics identified by Guided LDA and the keywords in each topic (pyLDAvis) Originally posted on A nalytics Vidhya. The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming.

Testing 54

Testing Modeling Strategy Interactive 54

DataKitchen

MAY 10, 2021

And the worst part – data errors take the fun out of data science. Remember your first data science courses? You probably imagined your career would be about helping drive insights with data instead of having to sit in endless meetings discussing analytics errors and painstaking corrective actions.

Testing 214

Testing Manufacturing Data Quality Statistics 214

O'Reilly on Data

OCTOBER 19, 2021

Similarly, it would be pointless to pretend that a data-intensive application resembles a run-off-the-mill microservice which can be built with the usual software toolchain consisting of, say, GitHub, Docker, and Kubernetes. Adapted from the book Effective Data Science Infrastructure. Data Science Layers.

IT 347

IT Testing Experimentation Software 347

CIO Business Intelligence

JANUARY 20, 2023

BI aims to deliver straightforward snapshots of the current state of affairs to business managers. This gets to the heart of the question of who business intelligence is for.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

Cloudera

DECEMBER 15, 2022

Improve performance and overall manageability of Iceberg tables using the new table maintenance capabilities such as expiring old snapshots and removing their metadata, and compaction to combine small files for more efficient data processing. Maintaining performance and manageability with improved table maintenance .

Metadata 81

Metadata Data Warehouse Snapshot Data Quality 81

Alation

JULY 28, 2022

“Cloud data warehouses can provide a lot of upfront agility, especially with serverless databases,” says former CIO and author Isaac Sacolick. There are tools to replicate and snapshot data, plus tools to scale and improve performance.” Lift and shift perpetuates the same data problems, albeit in a new location.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

SEPTEMBER 17, 2020

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. The admin overview page provides a snapshot of all the workloads across multi-cloud environments.

Visualization 105

Visualization Metrics Statistics Optimization 105

Cloudera

NOVEMBER 13, 2020

Data science experiment result and performance analysis, for example, calculating model lift. The new Catalog design means that Impala coordinators will only load the metadata that they need instead of a full snapshot of all the tables. In this case, reducing runtime from 930ms to 133ms for nearly a 7x improvement.

Optimization 144

Optimization Metadata Statistics Cost-Benefit 144

IBM Big Data Hub

SEPTEMBER 25, 2023

The technical value of Presto at Uber Analyzing complex data types with Presto As a digital native company, Uber continues to expand its use cases for Presto. For traditional analytics, they are bringing data discipline to their use of Presto. They ingest data in snapshots from operational systems.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87