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

NOVEMBER 15, 2024

In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. Cyber logs are often unstructured or semi-structured, making it difficult to derive insights from them.

Metadata 52

Metadata Unstructured Data Data Lake Government 52

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 93

Insurance Unstructured Data Finance Machine Learning 93

Knowledge Hut

JUNE 27, 2023

million in 2021 and is expected to keep growing. This growth is because of big data analytics, cloud computing, and IOT in industries. from 2021 to 2031. Meanwhile, computer science graduates are well paid with a median salary upwards of $97,430 per year in May 2021. It can expand at a CAGR of 25.73% and reach USD 3168.13

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

Cloudera

NOVEMBER 17, 2022

In 2021, HBLs customers digitally carried out over 330 Mn financial transactions valued at PKR 7 Tn) in payments, a growth of 30% over 2020. We needed a solution to manage our data at scale, to provide greater experiences to our customers. HBL aims to double its banked customers by 2025. “ See other customers’ success here .

Banking 84

Banking Management Data Lake Professional Services 84

ProjectPro

NOVEMBER 14, 2015

It sits within the Apache Hadoop umbrella of solutions and facilitates the fast development of end-to-end Big Data applications. 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.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Snowflake

SEPTEMBER 27, 2023

But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

Healthcare 86

Healthcare Accessible Accessibility Hospitality 86

ProjectPro

DECEMBER 17, 2021

All this data is stored in a database that requires SQL-based queries for retrieval and transformations, making it essential for every data professional to learn SQL for data science and machine learning. Table of Contents Why SQL for Data Science? Why SQL for Data Science? What is SQL?

Data Science 52

Data Science SQL NoSQL Programming Language 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

Knowledge Hut

APRIL 12, 2023

With this service, communication only occurs between the enterprise network and the targeted service, ensuring secure and efficient data transfer. Security: Azure offers robust security features like advanced threat protection and compliance certifications, making it a secure platform for hosting sensitive data.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 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

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

NOVEMBER 17, 2021

Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques. in any language.

Coding 52

Coding Project Entertainment 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

U-Next

OCTOBER 27, 2022

In 2021, Jigsaw joined hands with UNext. UNext Jigsaw Learning Basket . PG Certificate Program in Data Science and Machine Learning . Develop skills in Data Science . Enhance your AI and Machine Learning skills . The program helps you take the first step toward a career in data science .

Cloud Computing 40

Cloud Computing Data Science Certification Machine Learning 40

Knowledge Hut

JULY 24, 2023

SQL is also popularly employed for transactional data management, such as inventory management, online purchases, and financial transactions. As big data and machine learning have become more prevalent, SQL is increasingly being used to train and query predictive models, which may help businesses make better decisions.

Database 52

Database SQL Process NoSQL 52

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 Data Science Government 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 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

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 Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

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

AltexSoft

OCTOBER 3, 2022

machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. The use of knowledge graphs has become widespread in machine learning too. In the real world, most data is unstructured data e.g., text, images, audio, and video.

Relational Database 52

Relational Database Banking Media Computer Science 52

Monte Carlo

AUGUST 31, 2023

Data quality can be impacted at any stage of the data pipeline, before ingestion, in production, or even during analysis. In our opinion, data quality frequently gets a bad rep. In many ways, the cloud makes data easier to manage, more accessible to a wider variety of users, and far faster to process.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 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. is essential to becoming a Data Engineering professional.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JUNE 1, 2017

For these hadoop vendors, the big data market is all about big and fast data that includes cloud based services for Hadoop and other offerings for running Spark , big data pipelines, machine learning and Streaming.All these managed services are a boon for hadoop vendors to fulfill their promises in a broader ecosystem.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Ascend.io

AUGUST 31, 2023

For example, unlike traditional platforms with set schemas, data lakes adapt to frequently changing data structures at points where the data is loaded , accessed, and used. These fluid conditions require unstructured data environments that natively operate with constantly changing formats, data structures, and data semantics.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

ProjectPro

MAY 5, 2015

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. Mohamed Yusef Ahmed Software Developer at Taske "I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python.

Big Data 40

Big Data Project Hadoop Java 40

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

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 Relational Database AWS 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 Engineer Data Engineering Engineering 52

AltexSoft

JULY 29, 2022

Streaming analytics became possible with the introduction of Apache Kafka , Apache Spark , Apache Storm , Apache Flink , and other tools to build real-time data pipelines. You also can run machine learning on Hadoop with Apache Mahout and graph processing with Apache Giraph. This is by far not the full list of Apache projects.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

MARCH 23, 2015

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

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

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% billion in 2025.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 petabytes daily in 2021. And it’s not just any type of data. By 2025 it’s estimated that there will be 7 petabytes of data generated every second compared with “just” 2.7 petabytes per second in 2021.

Unstructured Data 90

Unstructured Data Government Data Pipeline Cloud 90