ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. Moving to these new data sources is still worthwhile.

Insurance 94

Insurance Unstructured Data Finance Machine Learning 94

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. Scalability 4.Link Link Prediction 5.Cloud

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis?

Coding 52

Coding Project Entertainment Datasets 52

AltexSoft

APRIL 27, 2023

In this article, we’ll review the most popular use cases of machine learning and AI in pharma and back them with real-life examples from industry leaders. Data analytics tools may automate PHI detection and anonymization. Machine learning algorithms can be used to predict future sales of particular drugs or spot growth.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Monte Carlo

MAY 31, 2022

This article is sourced based on the interview between Lior Solomon, (now the former) VP of Engineering, Data, at Vimeo with the co-founders of Firebolt on their Data Engineering Show podcast which took place August 18, 2021. It is important for the team to push data as near real-time as possible and ensure its reliability.

BI 52

BI Data Warehouse Unstructured Data Data Schemas 52

ProjectPro

JANUARY 24, 2023

Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. Google BigQuery holds a 12.78% share in the data warehouse market and has been rated a leader by Forrester Wave research in 2021, which makes it a highly popular data warehousing platform.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

JULY 24, 2023

Companies of all sizes and across various sectors utilize SQL for data analysis and reporting as the volume of data generated daily increases. SQL helps businesses to query and extract data from big datasets, offering insights into market trends, customer behavior, and other crucial elements that drive decision-making.

Database 52

Database SQL Process NoSQL 52

AltexSoft

OCTOBER 25, 2021

Natural language processing or NLP is a branch of AI that uses linguistics, statistics, and machine learning to give computers the ability to understand human speech. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

MAY 31, 2021

None of this would have been possible without the application of big data. We bring the top big data projects for 2021 that are specially curated for students, beginners, and anybody looking to get started with mastering data skills. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. ETL is the acronym for Extract, Transform, and Load.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

AUGUST 9, 2021

Python has come to command a celebrity status in data science over the years. It is loved by all data enthusiasts and provides an easy introduction to data science and machine learning. It’s easy to write and offers plenty of built-in libraries for complicated data science tasks.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

DECEMBER 1, 2017

IBM plans to integrate HDP into its data science and machine learning platforms and then migrate all its BigInsights users to HDP. The demand for hadoop in managing huge amounts of unstructured data has become a major trend catalyzing the demand for various social BI tools. Source: theregister.co.uk/2017/11/08/ibm_retires_biginsights_for_hadoop/

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. A knowledge graph example.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

JANUARY 31, 2023

The Big data market was worth USD 162.6 Billion in 2021 and is likely to reach USD 273.4 Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. What is Hadoop? Small file problem.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JUNE 24, 2021

The rise in the number of CDO’s is proof that more and more businesses are realizing the importance of adopting big data analytics. With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. This number grew to 67.9%

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Key data warehouse limitations: Inefficiency and high costs of traditional data warehouses in terms of continuously growing data volumes.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

JUNE 9, 2021

For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences. One may use the processed data in other processes like data visualizations, business analytics, etc. It doesn't entail creating data visualizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

For instance, with a projected average annual salary of $171,749, the GCP Professional Data Engineer certification was the top-paying one on this list in 2021. Boost Your Skills and Knowledge You can keep up with the newest technology and best practices in the industry by earning data engineering certifications.

Certification 52

Certification Data Engineering Data Engineer Engineering 52