Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineering 95

Data Engineering Data Engineer Cloud Engineering 95

AltexSoft

AUGUST 25, 2021

There are two main steps for preparing data for the machine to understand. Any ML project starts with data preparation. You can’t simply feed the system your whole dataset of emails and expect it to understand what you want from it. What should it be like and how to prepare a great one?

Process 139

Process Deep Learning Datasets Machine Learning 139

Edureka

APRIL 16, 2025

GitHub Copilot Features AI-Powered Coding Assistant : Trained on a massive dataset of publicly available code, including GitHub repositories, it can generate functions, classes, and entire code blocks. Data Project Assistance : Helps streamline tasks in data-driven projects, including data preparation, analysis, and visual output.

Programming Language 40

Programming Language Coding Programming Data Preparation 40

LinkedIn Engineering

DECEMBER 20, 2023

This blog post delves into the AutoML framework for LinkedIn’s content abuse detection platform and its role in improving and fortifying content moderation systems at LinkedIn. It enables models to stay updated by automatically retraining on incrementally larger and more recent data with a pre-defined periodicity.

Machine Learning 90

Machine Learning Datasets Algorithm Architecture 90

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

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. Laurence Goasduff, Gartner.

Machine Learning 82

Machine Learning Data Science Data Pipeline Raw Data 82

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik 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.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

phData: Data Engineering

JUNE 18, 2024

In this blog, we’ll explain why you should prepare your data before use in machine learning , how to clean and preprocess the data, and a few tips and tricks about data preparation. Why Prepare Data for Machine Learning Models? It may hurt it by adding in irrelevant, noisy data.

Machine Learning 52

Machine Learning Algorithm Data Preparation Data Warehouse 52

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. Data profiling tools: Profiling plays a crucial role in understanding your dataset’s structure and content.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Data Governance 52

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. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

RandomTrees

AUGUST 21, 2024

Advanced Data Cleaning and Transformation : Scenario : A financial institution needs to clean and preprocess large datasets with complex transformations. Solution : Utilize Python’s Pandas library to perform data wrangling tasks such as handling missing values, merging datasets, and applying complex transformations.

BI 52

BI Python Datasets Machine Learning 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

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AWS Scala Metadata Data Lake 98

Knowledge Hut

JANUARY 24, 2024

If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. Tableau, on the other hand, stands out for its exceptional speed, ensuring swift rendering even when dealing with large and complex datasets.

BI 98

BI Business Intelligence Non-relational Database Machine Learning 98

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. Data relevance. Public datasets.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

Precisely

DECEMBER 4, 2023

They also need a strong foundation of data science to underpin those efforts. Many organizations get bogged down with data preparation, which can consume up to 80% of data science efforts. Collecting, organizing, and cleaning datasets consumes 45-60% of DS time.

Telecommunication 64

Telecommunication Data Science Data Integration Data Preparation 64

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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. For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. distinct().collect()

Java 59

Java Coding Datasets Python 59

ProjectPro

JANUARY 31, 2023

However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Bid goodbye to worries related to such problems with this blog, as it covers an appropriate and effective solution to the problem of limited data available for training machine learning and deep learning models.

Deep Learning 52

Deep Learning Machine Learning Datasets Data 52

Knowledge Hut

MARCH 19, 2024

In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one. Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models.

Software Engineering 52

Software Engineering Software Engineer Machine Learning Engineering 52

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. In this blog, you will learn what is AWS SageMaker, its Key features, and some of the most common actual use cases! Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop Relational Database AWS 52

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

OCTOBER 17, 2017

In this blog, we provide a few examples that show how organizations put deep learning to work. Next, we introduce you to Cloudera’s unified platform for data and machine learning and show you four ways to implement deep learning. Move forward with Cloudera, the unified platform for data and machine learning.

Deep Learning 47

Deep Learning Scala Medical Data Science 47

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

LinkedIn Engineering

DECEMBER 13, 2022

In this blog post, we share more details on how LinkedIn performs observational causal inference at scale using our Ocelot platform. We chose to bundle the functionality of data preparation with the causal modeling for the following reasons.�� We fine tuned Spark jobs to reduce the data preparation time and failure rate.

Data Preparation 55

Data Preparation Data Science Designing Data Pipeline 55

Picnic Engineering

MAY 23, 2023

At Picnic, we understand the importance of efficient and accurate customer service, which is why we’ve turned to natural language processing techniques to automate the classification of customer feedback as you can read in this and this blog post. This is why we conclude that further improvements are likely possible.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

Edureka

AUGUST 27, 2024

Amazon Quicksight is a business intelligence service designed for cloud-based businesses to connect data from different sources for quick decision-making using a single dashboard. In this blog, let’s explore What AWS Quicksight is and how it disrupts data visualization workflows. Table of Content What is Amazon Quicksight?

BI 52

BI Business Intelligence AWS Amazon Web Services 52

Rockset

FEBRUARY 24, 2022

While this blog post won’t dive deeply into Kinesis’ capabilities, it’s worth quickly noting three: Kinesis Data Streams enable continuous capture of gigabytes of data per second from an enormous number of sources. Rockset You didn’t think you’d finish a Rockset blog post without hearing about Rockset, did you?

AWS 52

AWS Amazon Web Services Kafka SQL 52

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

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. The final step is to publish your work.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

DECEMBER 7, 2023

In this blog, I'll define the AI project life cycle and walk you through the steps, tools, and significance of the AI model lifecycle management process. This includes configuring hyperparameters, training the model on the training data, and fine-tuning it. They provide functions for cleaning, transforming, and analyzing data.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52