Cloudera

OCTOBER 4, 2023

Containerized service to run both multiple compute clusters against the same data, and to configure each cluster with its own unique characteristics (instance types, initial and growth sizing parameters, and workload aware auto scaling capabilities). appeared first on Cloudera Blog. The post Don’t Blink: You’ll Miss Something Amazing!

Telecommunication 84

Telecommunication Data Warehouse Java Manufacturing 84

FreshBI

SEPTEMBER 11, 2023

. ” In the continuously evolving field of data-driven insights, maintaining competitiveness relies not only on in-depth analysis but also on the rapid and precise development of reports. Power BI, Microsoft's cutting-edge business analytics solution, empowers users to visualize data and seamlessly distribute insights.

BI 59

BI Consulting Datasets Data Ingestion 59

Cloudera

JANUARY 30, 2024

Cloudera provides end-to-end data life cycle management on a hybrid data platform, which includes all the building blocks needed to build a data strategy for trusted data in manufacturing. The post Achieving Trusted AI in Manufacturing appeared first on Cloudera Blog.

Manufacturing 77

Manufacturing Data Lake Data Science Cloud 77

Scott Logic

APRIL 22, 2024

It’s been around since 2017, and we don’t intend to go into a full review of its features here—only a month ago, Mike Morgan and Steve Conway from our Leeds office published a comparative review of three cloud BI solutions, including QuickSight here on the Scott Logic blog. Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Precisely

FEBRUARY 12, 2024

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. All that time spent on data preparation has an opportunity cost associated with it.

Data Governance 64

Data Governance Government Telecommunication Machine Learning 64

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. In this article: Why Are Data Testing Tools Important?

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

DataKitchen

FEBRUARY 21, 2023

Make Trusted Data Products with Reusable Modules : “Many organizations are operating monolithic data systems and processes that massively slow their data delivery time.”

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

APRIL 10, 2021

CPUs and GPUs can be used in tandem for data engineering and data science workloads. A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

Machine Learning 62

Machine Learning Data Science Deep Learning Utilities 62

Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. Algorithms, data preparation and model evaluations. Follow new trends in AI by reading research articles and blog posts.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Cloudera

DECEMBER 17, 2020

While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data science work — and the machine learning models themselves — are only one part of the broader enterprise machine learning puzzle.

Machine Learning 80

Machine Learning Data Science Data Pipeline Raw Data 80

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. According to Microsoft, almost 400,000 companies register for the Azure platform each year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

AUGUST 3, 2018

The post Azure Marketplace features Cloudera Customer 360 offering appeared first on Cloudera Blog. A recently-launched solution serves as an example of the power of partnerships. Learn more about Customer 360 Powered by Zero2Hero by visiting the Azure Marketplace , or the Cloudera Solutions Gallery.

Business Intelligence 40

Business Intelligence Consulting Data Preparation Machine Learning 40

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JUNE 16, 2023

You can enroll in a Data Science Certified course to learn in depth about these tools. In this blog, we'll explore the 10 best deep learning tools you should master in 2023 to stay ahead of the curve and make the most of this exciting technology. Keep reading to know more.

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Cloudera

FEBRUARY 8, 2023

I was looking for some broken code to add a workshop to our Spark Performance Tuning class and write a blog post about, and this fitted the bill perfectly. appName( "Churn Analysis Data Preparation Test Harness" ) .getOrCreate() json('data/df_baseline') stayed_baseline.write.mode("overwrite").json('data/stayed_baseline')

Java 57

Java Datasets Coding Python 57

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

Process 92

Process Deep Learning Data Coding 92

Rockset

SEPTEMBER 14, 2021

Rockset indexes the entire data stream so when new fields are added, they are immediately exposed and made queryable using SQL. We’ve also enabled the ingest of historical and real-time streams so that customers can access a 360 view of their data, a common real-time analytics use case.

Kafka 52

Kafka SQL MongoDB Computer Science 52

Edureka

DECEMBER 12, 2023

Innovation,DetailOriented Business Systems Analyst INR 9,78,494 Problem solving , Data analysis , Project Management Reporting Analyst INR 4,00,000 Data and information visualization, Critical thinking, Analytical reasoning.

Business Analyst 40

Business Analyst Consulting NoSQL Manufacturing 40

Scott Logic

MARCH 25, 2024

In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau. There is a preferred workflow to guide a user through the steps of data preparation, analysis and visualisation but this workflow is not mandatory. An experienced user is free to work in whatever fashion suits them.

BI 52

BI Business Intelligence Cloud AWS 52

Cloudera

MAY 16, 2019

The traditional Data Warehouse ETL process has splintered into many smaller components. Ingest is now focused data capture and real-time trend analysis where possible. Once data is brought under control in a system like Cloudera, then the work of Data Preparation, Quality begins.

Data Warehouse 40

Data Warehouse Government Data Preparation Data Governance 40

Knowledge Hut

NOVEMBER 27, 2023

These datasets offer opportunities to analyze, manipulate, and extract insights from real data, preparing you for real-world scenarios. Building a portfolio of data science projects: A GitHub repository or a personal website is great way to showcase your data science projects. A Master's in Data Science or a Ph.D.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Rockset

AUGUST 30, 2021

It eliminates the cost and complexity around data preparation, performance tuning and operations, helping to accelerate the movement from batch to real-time analytics. The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible.

SQL 52

SQL Kafka MongoDB MySQL 52

Knowledge Hut

APRIL 25, 2023

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

AUGUST 25, 2021

There are two main steps for preparing data for the machine to understand. Any ML project starts with data preparation. People are doing NLP projects all the time and they’re publishing their results in papers and blogs. These won’t be the texts as we see them, of course. Text annotation and formatting.

Process 139

Process Deep Learning Datasets Machine Learning 139

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Rockset

FEBRUARY 7, 2020

Querying the IoT Data Available fields in the Rockset collection The above shows all the fields available in the collection which is used in the following queries. Note that we did not have to predefine a schema or perform any data preparation to get data in Kafka to be queryable in Rockset.

Kafka 40

Kafka Transportation Data SQL 40

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

DataKitchen

SEPTEMBER 20, 2021

Data professionals could do amazing things, but not while held back by bureaucratic processes. An organization is unlikely to surpass competitors and overcome obstacles while its highly trained data scientists are hand-executing data preparation, ingestion and other pipelines. .

Data Pipeline 98

Data Pipeline Data Cleanse Process Architecture 98

Monte Carlo

JANUARY 16, 2024

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

DataKitchen

JULY 27, 2023

Azure Synapse Analytics Pipelines: Azure Synapse Analytics (formerly SQL Data Warehouse) provides data exploration, data preparation, data management, and data warehousing capabilities. It provides data prep, management, and enterprise data warehousing tools. It does the job.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . You can get started with CDP Public Cloud by requesting a trial account here. .

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

Snowflake

JUNE 28, 2023

Snowpark is our secure deployment and processing of non-SQL code, consisting of two layers: Familiar Client Side Libraries – Snowpark brings deeply integrated, DataFrame-style programming and OSS compatible APIs to the languages data practitioners like to use.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Pinterest Engineering

JUNE 13, 2023

Currently the loss weight for each task is equal, but during the data preparation stage, we apply various weight adjustments so that each training example is properly represented in the loss function. The loss function is captured below, where b = (1, … B) from B examples in the batch, and h = (1, … H) from H tasks.

Software Engineer 83

Software Engineer Software Engineering Utilities Architecture 83

Precisely

DECEMBER 4, 2023

To answer the three fundamental questions outlined above, telecoms rely on business-friendly GIS to create a single view of the network that’s accessible, easily understood, and trusted by internal stakeholders to drive better, data-informed decisions. They also need a strong foundation of data science to underpin those efforts.

Telecommunication 64

Telecommunication Data Science Data Integration Data Preparation 64

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 82

Engineering Raw Data Data Science Scala 82

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40