Knowledge Hut

DECEMBER 26, 2023

They are also responsible for improving the performance of data pipelines. Data Architects design, create and maintain database systems according to the business model requirements. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

FEBRUARY 1, 2017

ii) AtScale survey reveals that more than half of the organizations having big data solutions living on the cloud today that is likely to increase to 3/4th. iv) Companies building big data solutions on hadoop will focus on data governance and security menace as a frontier of their big data initiatives in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

AltexSoft

FEBRUARY 11, 2023

It consists of five modules: Fundamental Big Data, Fundamental Big Data Architecture, Advanced Big Data Architecture, Big Data Analysis & Technology Concepts, and Big Data Architecture Lab. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possibilities for growth : Adding data science expertise to your toolkit can help you do your job better.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 26, 2023

Google Data Analytics Professional Certificate Certification Overview The Google Data Analytics Professional Certificate is a comprehensive online program that equips learners with the skills needed for a career in data analytics.

Certification 52

Certification Data Analytics BI AWS 52

ProjectPro

JUNE 18, 2015

Big data solutions that once took several hours for computations now can now be done just in few seconds with various predictive analytics tools that analyse tons of data points. Organizations need to collect thousands of data points to meet large scale decision challenges.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

Snowflake

JUNE 13, 2023

“We needed to clear a large data backlog to do things faster—including producing reports at high speed,” said Sanjeev Kumar, Head of Data Management and Analytics at tesa. “By By using Snowflake’s platform as the analytical engine behind our Power BI and SAP data, we now have a much more governable data solution.

Cloud 52

Cloud Manufacturing Datasets Scala 52

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 72

Process Kafka Government Big Data 72

Knowledge Hut

FEBRUARY 7, 2023

Thus, SAS offers identical and equivalent capabilities to Python and R for performing all data science tasks for building large scale big data solutions. These solutions can be used in Business Intelligence, IT management, Human Resource Management, Financial management , Customer Relationship management and more.

Data Science 52

Data Science Datasets SQL Data Mining 52

Snowflake

JANUARY 18, 2023

With Heap Connect, Heap’s data export solution that leverages Snowflake collaboration capabilities, customers can create a single source of truth in Snowflake, thereby avoiding silos and multiple copies of data.

Data Warehouse 52

Data Warehouse Cloud Accessible Accessibility 52

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? The main objective of leveraging big data at Walmart is to optimize the shopping experience of customers when they are in a Walmart store, or browsing the Walmart website or browsing through mobile devices when they are in motion. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

NOVEMBER 7, 2016

The tiny toy elephant in the big data room has become the most popular big data solution globally. On the same Hadoop data collection, YARN supports a range of access engines (both open-source and private).

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

AUGUST 21, 2015

What are the steps involved in deploying a big data solution? HBase is ideal for real time querying of big data where Hive is an ideal choice for analytical querying of data collected over period of time. 9) Is it possible to leverage real time analysis on the big data collected by Flume directly?

Hadoop 40

Hadoop Big Data Metadata Java 40

DataKitchen

JUNE 24, 2021

Using Kurt’s analogy, those processes and practices are really meant to build an application, so the piece of furniture is an application or software, whereas data becomes a component of that, a leg or a bolt, or something that’s within that software application. Automate the data collection and cleansing process.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

ProjectPro

MAY 31, 2021

Big Data Projects for Engineering Students Hadoop Project-Analysis of Yelp Dataset using Hadoop Hive Online Hadoop Projects -Solving small file problem in Hadoop Airline Dataset Analysis using Hadoop, Hive, Pig, and Impala AWS Project-Website Monitoring using AWS Lambda and Aurora Explore features of Spark SQL in practice on Spark 2.0

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses? Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics.

Hadoop 40

Hadoop Big Data Data Mining Retail 40