Snowflake

JULY 13, 2023

Welcome to our recap of all of the great industry sessions presented at Snowflake Summit 2023, which just wrapped up in Las Vegas. Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs). Customer Sessions Highlights Samsung Ads showcased the power of Snowflake for ML.

Entertainment 58

Entertainment Retail Manufacturing Media 58

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 119

Generalist Telecommunication Healthcare Data 119

Cloudera

AUGUST 20, 2021

Legal and Regulatory Requirements: CDP delivers data products to address complex and continuously evolving legal and regulatory requirements by offering a programmatic way to dynamically manage data permissions at a granular level by type of data asset and for different roles / users interacting with and manipulating those data assets. .

Data Warehouse 98

Data Warehouse Data Architecture Cloud 98

Knowledge Hut

DECEMBER 27, 2023

If you are interested in a marketing career, it will undoubtedly present you with rewarding commercial opportunities. A Financial Analyst's role is gathering data, organizing info, analyzing results, recommending, and creating Excel Models, presentations and various reports.

Banking 52

Banking Recruitment Finance Portfolio 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. Optimizing resource utilization is crucial.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. Liverpool and London are the cities with excessive demands for Big Data Engineers.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 31, 2023

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. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 26, 2015

You can click on the link below to listen to the recording of the recent webinar on “How IoT leverages Hadoop” presented by Garima Batra. Big Data and the Internet of Things (IoT) are two of the biggest tech waves that revolutionizing the way we live and work. Hadoop for leveraging analytics.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JANUARY 24, 2023

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. This blog presents a detailed overview of Google BigQuery and its architecture. What’s more?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

DECEMBER 7, 2016

In this case, the analytical use case can be accomplished using apache hive and results of analytics need to be stored in HBase for random access. Hive and HBase are both data stores for storing unstructured data. For real-time querying of data. However, all problems can be solved using apache hive.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations.

Hadoop 52

Hadoop ETL Tools Unstructured Data ETL System 52

ProjectPro

APRIL 1, 2016

(Source: [link] ) Altiscale launches Insight Cloud to make Hadoop easier to access for Business Users. This will make Hadoop easier to access for business users. Insight Cloud provides services for data ingestion, processing, analysing and visualization. March 15, 2016. March 20, 2016. March 31, 2016. Computing.co.uk

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data 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 52

Big Data Coding Project Hadoop 52

AltexSoft

MAY 14, 2021

as data is being generated ? and any discoveries are presented almost instantaneously. Data generated from various sources including sensors, log files and social media, you name it, can be utilized both independently and as a supplement to existing transactional data many organizations already have at hand.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

MAY 5, 2023

As technology continues to evolve and become more accessible, it is essential for property owners and managers to adopt AI solutions to stay competitive and capitalize on the numerous benefits it offers. The solution provides a centralized hub for managing communication, property access, and on-demand services.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

AUGUST 26, 2015

Here’s a look at important milestones, tracking the evolutionary progress on how data has been collected, stored, managed and analysed- 1926 – Nikola Tesla predicted that humans will be able to access and analyse huge amounts of data in the future by using a pocket friendly device. 1937 - Franklin D. Truskowski.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

OCTOBER 15, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Hadoop technology is the buzz word these days but most of the IT professionals still are not aware of the key components that comprise the Hadoop Ecosystem. Pig is SQL like but varies to a great extent.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

ProjectPro

MARCH 17, 2021

The word “deep” in deep learning refers to the number of hidden layers present in a neural network. Deep learning models usually perform Classification tasks directly from sound, text, or images (unstructured data). Build a Job-Winning Data Science Portfolio.

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. The RDBMS can either be directly accessed from the data warehouse layer or stored in data marts designed for specific enterprise departments.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 21, 2016

The information present in Mainframes is highly critical, such as healthcare records, ATM transactions, package tracking information, credit card records, etc. ”- said Tendü Yoğurtçu, General Manager of Syncsort’s Big Data business.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

SEPTEMBER 26, 2014

The survey volunteers accepted that Hadoop is beneficial when it comes of Big Data analytics. The present day RDBMS are perfect for querying structured data and people are well acquainted with their technicalities. One good thing about Hadoop is that it can work in parallel as well as in conjunction with rational databases.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Every domain of machine learning presents its challenges and solutions.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

JULY 30, 2021

Community cloud - It allows multiple organisations in a group to access services and systems to share information and computing. It is responsible for accessing the internet and performing searches and application tasks for mobile systems. Oracle Cloud and IBM cloud are present as market competitors as well. AWS Cloud Connect.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. Access Data Science and Machine Learning Project Code Examples 15.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MAY 5, 2015

=Shailesh Kurdekar Solutions Architect at Capital One Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization "Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets.

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

SEPTEMBER 11, 2015

But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? Hadoop still has a long way to go when it comes to presenting clean and readable data solutions. Hadoop has now been around for quite some time.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

APRIL 11, 2016

How big data problems are solved in retail sector? What is the largest amount of data that you have handled? Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Amazon Hadoop Developer Interview Questions What is the difference between TextInput format and KeyValue format in Hadoop?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

APRIL 17, 2015

Latest Trends in Big Data Analytics Hadoop, NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis. Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52