erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

JUNE 29, 2018

Over the past decade, Cloudera University has taught more than 50,000 developers, administrators, analysts, and data scientists how to apply big data technologies. And analysts discover the power of SQL over large, diverse datasets. Initial blended learning courses will focus on developers, administrators, and data analysts.

Interactive 43

Interactive Big Data Technology Data Warehouse 43

Ontotext

AUGUST 15, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. If we have to boil it down to the essentials – it deals with the meaning rather than the structure of the data. What This Training Is.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

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. It is for those who are interested enough in our activities to consider joining us. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. This post is different.

Statistics 75

Statistics Data Science Machine Learning Sales 75

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. Data is interconnected, like some sort of worldwide web of knowledge. Relational data.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

FineReport

JULY 6, 2022

Some BI tools are devoted to helping companies’ data analysis and business information management, gradually becoming the leaders of the BI market. When our company witnesses the explosion of data and information, which business intelligence tool is the most appropriate one to help us make full use of the wealth of the business data?

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

Ontotext

AUGUST 16, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. If we have to boil it down to the essentials – it deals with the meaning rather than the structure of the data. What This Training Is.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Cloudera

DECEMBER 15, 2020

Across nearly every sector working with complex data, Spark has quickly become the de-facto distributed computing framework for teams across the data and analytics lifecycle. is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. but with Spark 3.0

Broadcasting 97

Broadcasting Optimization Statistics IT 97

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025. Learn Programming.

Big Data 81

Big Data Data Science Data-driven Data Processing 81

Data Science 101

NOVEMBER 8, 2023

Drawing straws in my head, I’m going to have to go with my recent promotion from an analytics/development role (big data marketing segmentation would maybe be the best way to describe it) to a product management role… But it wasn’t the promotion that was significant. I have felt a lot more confident since that moment.

Data Science 59

Data Science Visualization Management Data Processing 59

Data Science 101

OCTOBER 12, 2023

In 2022 I actually joined the lab and here we are today. My data sources are usually news, logs and web documents. It’s petabytes of data, so a lot of my time is spent processing it. I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. ” — Lucas A. I use PyTorch for that.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

Alation

SEPTEMBER 6, 2022

Ten years ago, there was no modern data catalog. Michael is one our most senior software engineers, having joined the company in 2014. In 8 years, Michael has held six titles, and played essential roles in developing the product UI, as well as the data-driven culture thriving in the engineering department today. Let’s dive in.

Data-driven 52

Data-driven Software Testing Metadata 52

Occam's Razor

JULY 1, 2008

Framing the online to offline "data" problem: Why is quantifying offline impact such a problem? In English: We simply don't have a way of joining the online data to offline data. You have a delightful website, it is chugging along merrily at a 1.7% Or just submit a lead and have you call them.

Analytics 116

Analytics Measurement Marketing Sales 116

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. Data science experiment result and performance analysis, for example, calculating model lift.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Cloudera’s perspective: Cloudera saw the increasing volumes of data our customers were moving via streams early on.

Data-driven 75

Data-driven Enterprise IoT Data Warehouse 75

Cloudera

JANUARY 11, 2021

I want to thank you all for joining and attending these events! MiNiFi are agents used to collect subsets of data from sensors and devices situated in remote locations. The goal is to help with the “first mile collection” of the data and to acquire the data as close as possible to its source. .

Data Processing 59

Data Processing Interactive ROI Data Warehouse 59

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

IBM Big Data Hub

MARCH 25, 2022

A database is a crucial engine for a world becoming more data driven. Businesses are more heavily relying on smart insights and emerging patterns to succeed. Advancements in software and hardware had an interplay between the rising appetite for any organization making a data-driven decision.

Data-driven 74

Data-driven Data Warehouse Data Processing Marketing 74

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. A decade ago, Amr Awadallah, Christophe Bisciglia, Jeff Hammerbacher, and I made a long bet: Data could make things that are impossible today, possible tomorrow.

IoT 74

IoT Machine Learning Data Warehouse Enterprise 74

erwin

SEPTEMBER 15, 2022

We are thrilled to introduce Quest EMPOWER 2022, a free, two-day online summit aimed to inspire you and help you develop new strategies for advancing your data intelligence, data governance, and data operations initiatives. Discover new insights into data intelligence with Donna Burbank.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

Jet Global

FEBRUARY 4, 2022

The downside, of course, is that the company’s equity could turn out to be worthless. For small entrepreneurial businesses, equity compensation can be a very attractive way to attract and retain highly talented employees. It’s a win for employees and contractors because the potential upside can be very high.

Software 98

Software Management Recreation/Entertainment Reporting 98

Jet Global

APRIL 23, 2024

It’s an exciting step on your BI journey – from here, your business decisions will become more data-driven, and your team will be more empowered than ever to understand your business analytics. Of course, there’s plenty of additional resources that exist apart from Qlik’s own website. Qlik users are a prolific bunch.

Reporting 52

Reporting Software Enterprise Management 52