Snowflake

MAY 4, 2023

As part of our commitment to the industry, we run quantitative “what if” models and analyses on client portfolios to accurately project the associated risk to our clearing services. Moreover, by using Snowflake’s Secure Data Sharing and “share back” capabilities, we can bring this capability to our clients’ data platforms as well.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications. Certificates are another way to enhance your big data portfolio.

Big Data 45

Big Data Big Data Skills Hadoop Scala 45

ProjectPro

JUNE 6, 2025

Performing Update on these tables- Output - CustomerID CustomerName Contact City Country 1 William Baker 9923 London UK 2 Daniel Stuart 3499 Berlin Germany 3 Andrew Finn 2267 Chicago USA 4 Dino Clark 3866 Rome Italy Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

By practicing Kubernetes projects, data scientists can learn how to effectively deploy and scale data processing and analytics applications. Add Kubernetes projects to your data science portfolio today and unlock limitless possibilities in the ever-expanding field of data science!

Data Science 40

Data Science Project Pipeline-centric Healthcare 40

ProjectPro

JUNE 6, 2025

Whether you're running a global e-commerce platform, an IoT-driven smart city project, or a real-time analytics application, Cosmos DB offers the flexibility and scalability to meet your evolving data needs. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects Amazon Aurora Amazon Aurora is a cutting-edge relational database engine offered by Amazon Web Services (AWS) that combines the best features of traditional databases with the performance and scalability of cloud-native architectures.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

APRIL 19, 2021

Having a data analyst degree may make it easier to land your first data analyst job, but a degree isn’t required if you’re skilled in analytics tools like Excel, SQL, Tableau, PowerBI, QlikView, and others. Whatever learning path you choose, make sure you build a strong data analytics portfolio.

Portfolio 40

Portfolio Certification Education Data 40

ProjectPro

FEBRUARY 11, 2021

3) Machine Learning Engineer vs Data Scientist 4) How to Become a Machine Learning Engineer-Learn Machine Learning Skills 5) Build a Machine Learning Portfolio 6) Find the Best Machine Learning Jobs 7) Ace Your Machine Learning Interview How to become a machine learning engineer without a degree?

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

MARCH 15, 2016

Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Currently banks as well as government financial institutions use HDFS and MapReduce to commence anti money laundering practices, asset valuation and portfolio analysis. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Banking Healthcare 40

ProjectPro

JUNE 6, 2025

Create a Kinesis Data Analytics Application and utilize Glue and Athena to define the Partition Key. Project Idea: To build this project, begin by grasping ETL on Big Data and the concepts of staging and Data Lake. Set up IAM Roles and Policies, then analyze the dataset. Learn DynamoDB Data Modeling and integrate Lambda with Kinesis.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

MAY 20, 2015

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. AWS vs. Google Cloud - Machine Learning AWS and GCP offer cutting-edge machine learning tools from their portfolio that help develop, train, and test a machine learning model.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MARCH 10, 2016

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

JUNE 6, 2025

Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. Banks uses a cluster to develop risk models for customer portfolios. It also performs better when dealing with large amounts of data since it can quickly scale up and down according to your needs.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JULY 15, 2021

Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making. You can acquire and improve your skills in Cloud Computing and data analytics with this project. Banking applications and systems use such applications to protect information and data sets.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 23, 2015

During this program the candidates are required to spend some time with the different departments in the company to understand how big data analytics is being leveraged across the company.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JANUARY 31, 2023

Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. Banks uses a cluster to develop risk models for customer portfolios. It also performs better when dealing with large amounts of data since it can quickly scale up and down according to your needs.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JUNE 6, 2025

Ace your big data analytics interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data analytics projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

Social Media Analytics Business Use Case: A social media analytics application can help businesses gain insights into their social media presence. “What are some interesting beginner level big data hadoop projects that I can work on to build my project portfolio?”

Hadoop 40

Hadoop Project Big Data Media 40

U-Next

AUGUST 26, 2022

Prescriptive Analytics’ goal is to suggest what should be done to prevent a problem in the future or fully capitalize on a positive trend. An instance of Prescriptive Analytics from our project portfolio. S Global Corporation can see chances for repeat business using advanced analytics and sales trends.

Data Analytics 40

Data Analytics Insurance Transportation Pharmaceutical 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52