ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

APRIL 3, 2023

Finally, the roadmap highlights the importance of understanding security concepts and practices to ensure the safety and integrity of data and systems. Additionally, computer science fundamentals are applicable to a wide range of fields beyond software development, such as artificial intelligence, data science, and cybersecurity.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Knowledge Hut

MARCH 26, 2024

Solution architects work with developers, stakeholders, and other IT specialists to build unified and effective systems. The solutions architect must make sure that the needs of all parties are taken into account and factored into the project's scope because most projects involve both technical and non-technical stakeholders.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

ProjectPro

SEPTEMBER 9, 2021

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

JUNE 20, 2023

Adoption of data-driven decision-making Data-driven decision-making is the process of incorporating facts and various information extracted from multiple sources of data in making business decisions. Business analysts perform the process of making a portfolio of potential candidates who may prove to be an asset to the company.

Business Analyst 52

Business Analyst Banking Unstructured Data Cloud Computing 52

Knowledge Hut

DECEMBER 27, 2023

In this course, you learn about leading a team, engagement of people, project management, strategic planning and much more. It is a two years program best suited for candidates interested in finance project planning, economic analysis, and corporate audit planning. However, a Portfolio Manager can be active or passive.

Banking 52

Banking Recruitment Finance Portfolio 52

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Glassdoor has ranked data scientist as the top job in the U.S.,

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

SEPTEMBER 30, 2014

That laid the foundation for an entirely new domain of ETL (an acronym for Extract Transform Load) – a field that continues to dominate data warehousing to this date. The modern technological ecosystem is run and managed by interconnected systems that can read, copy, aggregate, transform and re–load data from one another.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons “–says, Fabrizio Biscotti, research director at Gartner.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

MARCH 17, 2021

Basically, traditional machine learning requires you to manually select features from the data and train the model to recognize patterns in data and make predictions on the new data that arrives within the machine learning system. Now, what if you add the images of bananas into your data? What is Deep Learning?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Cloudera

SEPTEMBER 17, 2018

You can also easily preview and sample the data to validate you have found the relevant assets to work with. Hue, in addition, persists your work, expediting SQL users to start new projects. It opens access to data otherwise siloed and locked down in traditional data warehouse systems. Optimization.

Data Warehouse 53

Data Warehouse SQL Portfolio MySQL 53

ProjectPro

SEPTEMBER 1, 2016

News on Hadoop-August 2016 Latest Amazon Elastic MapReduce release supports 16 Hadoop projects. that is aimed to help data scientists and other interested parties looking to manage big data projects with hadoop. The EMR release includes support for 16 open source Hadoop projects. TechRepublic.com, August 19, 2016.

Hadoop 40

Hadoop Unstructured Data Big Data Portfolio 40

ProjectPro

SEPTEMBER 14, 2016

The better a hadoop developer knows the data, the better they know what kind of results are possible with that amount of data. Concisely, a hadoop developer plays with the data, transforms it, decodes it and ensure that it is not destroyed. Managing Hadoop jobs using scheduler. Reviewing and managing hadoop log files.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

ProjectPro

JULY 3, 2015

What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JULY 22, 2016

The desire to save every bit and byte of data for future use, to make data-driven decisions is the key to staying ahead in the competitive world of business operations. All this is possible due to the low cost storage systems like Hadoop and Amazon S3.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

APRIL 1, 2016

(Source: [link] ) MapR’s James Casaletto is set to counsel about the various Hadoop technologies in the upcoming Data Summit at NYC. Dbta.com Hadoop currently has over a 100 open source projects running on the ecosystem. Source: [link] ) Commvault Software, is enabling big data environments in Hadoop, Greenplum and GPFS.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

OCTOBER 15, 2014

Just before we jump on to a detailed discussion on the key components of the Hadoop Ecosystem and try to understand the differences between them let us have an understanding on what is Hadoop and what is Big Data. What is Big Data and Hadoop? Apache Pig is an integral part of the "People You May Know" data product at LinkedIn.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. 81% of the organizations say that Big Data is a top 5 IT priority. ” Interesting?

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

MARCH 21, 2016

Mainframe legacy systems might not be a part of technology conversations anymore but they are of critical importance to a business. In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources. The answer is definitely a resounding YES.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

MAY 8, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: wired.com The rate at which we are generating data is frightening - leading to “ Datafication ” of the world.

Big Data 40

Big Data Retail Unstructured Data Banking 40

ProjectPro

JUNE 18, 2015

Big data analytics in combination with crowdsourcing can revolutionize business processes to add value even for enterprises with budget constraints. Thus, companies might not be willing hire employees for data management tasks paving way for crowdsourcing in big data ventures. billion connected through Twitter and Facebook.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

JUNE 6, 2015

For example, say we get a project on analyzing Twitter data. In terms of Business Alignments, we have to stick to the data and after that, we have to supply internal architecture. So the source system is completely at risk because we have external data, we don’t know how to analyze it, how to supply it in other layers.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

SEPTEMBER 11, 2015

Big data revolution is creating tremendous job opportunities for freshers as numerous organizations are looking to hire young talent - but the major roadblock is that freshers lack hands-on working experience with Hadoop. Demand for Big Data Analytics talent will by far surpass the supply of talent by 2018.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

APRIL 17, 2015

Datafication is not a new trend but the speed with which data is being generated in real time operational analytics systems is breath-taking. This is likely to bring about novel trends in big data analytics. Let’s hope for some innovative hit in deep learning to real time business situations by end of 2015.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

APRIL 27, 2015

Big Data startups are banking upon analytics to disrupt the market in the foresight based approach. Big data startups are leveraging recommendation systems by making sense of big data-predicting user intentions and rendering services and products people are looking for before they even know that they need them.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. The HDFS is designed to allow storing and managing of all data types. Hadoop is 10 times better in terms of scalability over the next available option.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

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

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Today, anyone who works with data, from business analysts to data scientists, needs a better way to prepare data of all different shapes and sizes for analysis.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Having done these the capability to manage these systems effectively helps achieve business success. of marketers believe that they have the right big data talent.

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

MARCH 20, 2024

A software engineer is a specialist who works on software systems, including their design, development, testing, and management. Usually working in groups, software engineers collaborate with designers, project managers, and quality assurance specialists. Combining databases and data sources into a single system.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. The use of data has risen significantly in recent years.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52