AWS Big Data

DECEMBER 21, 2023

OpenSearch Service is used for multiple purposes, such as observability, search analytics, consolidation, cost savings, compliance, and integration. As organizations increasingly rely on data for decision-making, this native Spark connector provides an efficient, cost-effective, and agile solution to swiftly meet data analytics needs.

Analytics 98

Analytics IT Data Lake Visualization 98

AWS Big Data

OCTOBER 25, 2023

The anomaly detector processor creates and trains RCF models for a hashed value of keys, then uses those models to determine whether newly arriving messages have an anomaly based on the trained data. Also, for this walkthrough, we used a non-default sample_size for training the model.

Analytics 123

Analytics Data Processing Optimization Metrics 123

Cloudera

SEPTEMBER 8, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 68

IoT Internet of Things B2B Data-driven 68

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

JANUARY 22, 2024

In the architecture diagram, we can see that each team can be a data producer, except the team owning the central account, which serves as the central data platform, modeling the logic from multiple domains to paint the full business picture. All other teams can be data producers or data consumers.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

Sisense

JULY 23, 2021

“While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Domino Data Lab

OCTOBER 7, 2020

In our next blog we discuss how we try to avoid these problems in applied data analysis of high dimensional data. Data Has Properties. Statistics developed in the last century are based on probability models (distributions). The accuracy of any predictive model approaches 100%. data = simData.y)

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. The consumer accounts can then perform data analysis and explorations on the shared data.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

Domino Data Lab

JUNE 2, 2019

If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”. We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

JULY 7, 2022

This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in data analytics, data architecture, and data management. The data scientist. degrees in Data Engineering over the past 2 years, while others have expanded existing M.S.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

Across the board, organizations struggle with hiring enough data scientists. Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

JANUARY 30, 2023

This organization is planning to build a data analytical platform, and the insurance policy data is one of the inputs to this platform. Solution overview The data can originate from any source, but typically customers want to bring operational data to data lakes to perform data analytics.

Insurance 82

Insurance Data Lake Data-driven Management 82

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. The Data Science teams also use this data for churn prediction and CLTV modeling. She has been focusing on Digital Analytics and marketing data in the past.

Analytics 55

Analytics Data Lake Testing Optimization 55

AWS Big Data

SEPTEMBER 29, 2023

The row tag is an array that contains a set of another row tags, which provide information about a vehicle, including its make, model, and other relevant details. She helps AWS customers make informed choices and tradeoffs about accelerating their data, analytics, and AI/ML workloads and implementations.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. you name it. There are no restrictions.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Occam's Razor

JANUARY 10, 2011

The smallest part of my success, and yours, will come from having the prefect implementation of the Omniture Marketing Suite or Google Analytics. 10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. You can win with Omniture or WebTrends or IBM or Google.

Analytics 120

Analytics Measurement Data-driven Optimization 120