Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Knowledge Hut

DECEMBER 22, 2023

Every business now incorporates data science into their operations, especially those that recognize the value of data and the potential applications of that knowledge. A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Towards Data Science

JANUARY 24, 2024

A Practical guide to optimizing non-equi joins in Spark Photo by John Lee on Unsplash Enriching network events with IP geolocation information is a crucial task, especially for organizations like the Canadian Centre for Cyber Security , the national CSIRT of Canada.

SQL 79

SQL Data Science Datasets Data Engineering 79

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. The service promises to ensure correctness and latency regardless of how big your workload is.

Google Cloud 63

Google Cloud Process Cloud Lambda Architecture 63

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 102

Systems Hadoop Unstructured Data Media 102

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science?

Java 52

Java Data Science Python Programming Language 52

Cloudera

JUNE 26, 2023

Over time, using the wrong tool for the job can wreak havoc on environmental health. Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. Over time, those practices lead to cluster and Impala instability.

ETL Tools 76

ETL Tools Programming Language Datasets Data Pipeline 76

Data Engineering Weekly

DECEMBER 10, 2023

RudderStack, one of the leading alternatives to Segment , is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Thoughtworks discusses Anonymesh architecture with case studies on how it is implemented.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

ProjectPro

NOVEMBER 24, 2021

“Is data science hard to learn?”, ”, “Is data science a hard job?”, ”, “Is it hard to get a data science job?” ” Are you a data science enthusiast who believes data science is hard and keeps thinking about such questions?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

Towards Data Science

JANUARY 7, 2024

Streamline Data Pipelines: How to Use WhyLogs with PySpark for Effective Data Profiling and Validation Photo by Evan Dennis on Unsplash Data pipelines, made by data engineers or machine learning engineers, do more than just prepare data for reports or training models. So let’s dive in!

Data Pipeline 81

Data Pipeline Hospitality Data Validation Datasets 81

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. What is Big Data Certification?

Big Data 52

Big Data Certification Hadoop Scala 52

Robinhood

FEBRUARY 7, 2024

from Robinhood Data Infrastructure Robinhood adheres to a data-first philosophy. . from Robinhood Data Infrastructure Robinhood adheres to a data-first philosophy. Every decision we make here (or every decision at the company), from feature rollouts to operational changes, is backed by data. Authored by: Grace L.,

Process 75

Process Hadoop Architecture Accessible 75

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW?

Data Science 73

Data Science Machine Learning Scala Government 73

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.

Data Analysis 90

Data Analysis PostgreSQL Data Science SQL 90

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

LinkedIn Engineering

MARCH 9, 2023

Co-authors: Shu Wang , Biao He , and Minchu Yang At LinkedIn, Apache Spark is our primary compute engine for offline data analytics such as data warehousing, data science, machine learning, A/B testing, and metrics reporting. These applications rely heavily on dependencies ( JAR files ) for their computation needs.

Hadoop 124

Hadoop Machine Learning Designing Data Pipeline 124

Knowledge Hut

DECEMBER 21, 2023

Data Science is the world's most rapidly growing sector and data engineers are at the forefront. In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? What are the Data Engineer Career Opportunities?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloudera

JANUARY 20, 2021

In this last installment, we’ll discuss a demo application that uses PySpark.ML to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Using PySpark and Apache HBase, Part 1 and Using PySpark and Apache HBase, Part 2.

Machine Learning 112

Machine Learning Database Data Science Building 112

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us.

Telecommunication 86

Telecommunication Data Warehouse Java Manufacturing 86

Snowflake

APRIL 9, 2024

Like many companies, Snowflake uses Outreach as a sales execution platform to help our sales teams improve prospecting efforts and efficiently follow up on leads. In this blog, we’ll take a look at how Snowflake is using data sharing to benefit our SDR teams and marketing data analysts. But that’s not all.

BI 72

BI Data Ingestion Data Aggregated Data 72

Cloudera

AUGUST 3, 2022

Fine grained access control (FGAC) with Spark. One approach is to use 3rd party tools (such as Privacera ) that integrate with Spark. This makes CDP the only platform where customers can use Spark with fine grained access control automatically, without requiring any additional tools or integrations.

Datasets 86

Datasets BI Machine Learning Accessible 86

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data Governance 98

Data Governance Big Data Government Data Science 98

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). The Open Data Lakehouse . Introduction.

Data Warehouse 81

Data Warehouse Data Lake Government High Quality Data 81

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. But this has some well-known downsides, namely THROWING AWAY VALUABLE DATA.

Machine Learning 90

Machine Learning Data Science Datasets Python 90

Data Engineering Weekly

AUGUST 13, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. See how it works today. Editor’s Note: DewCon.ai

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. According to Gartner, Inc.

Architecture 99

Architecture Metadata Unstructured Data Machine Learning 99

Cloudera

JANUARY 13, 2021

In this installment, we’ll discuss how to do Get/Scan Operations and utilize PySpark SQL. Read the first blog here. Using Catalogs. I used the same exact catalog in order to load the table. . spark = SparkSession.builder. .appName( Using hbase.columns.mapping. spark = SparkSession. .builder.

Machine Learning 52

Machine Learning Data Science Database Scala 52

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Spark came in 2009 and gave a unified batch and streaming engine.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

APRIL 27, 2023

Ray has emerged as a popular framework because of its superior erformance over Apache Spark for distributed AI compute workloads. In the blog we will cover how Ray can be used in Cloudera Machine Learning’s open-by-design architecture to bring fast distributed AI compute to CDP.

Machine Learning 77

Machine Learning Python Deep Learning Architecture 77

Cloudera

AUGUST 8, 2022

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

Data Warehouse 90

Data Warehouse BI Machine Learning SQL 90

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. But for all the nuggets of wisdom, there’s a lot of noise to sift through.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52