Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do?

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Certification Data Engineering Data Engineer Engineering 52

DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years.

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Edureka

MAY 31, 2023

In today’s fast-paced and data-driven world, industrial tech companies strive to stay ahead by seeking innovative solutions. Imagine a bustling manufacturing plant with thousands of machines generating enormous amounts of data every second. Enter Azure Stream Analytics, a game-changer for industrial tech companies.

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Project Manufacturing Retail Data Lake 52

Pinterest Engineering

OCTOBER 31, 2023

In this article, we discuss the PinCompute primitives, architecture, control plane and data plane capabilities, and showcase the value that PinCompute has delivered for innovation and efficiency at Pinterest. Figure 1: High Level Architecture of PinCompute Users access the platform via Compute APIs to perform operations on their workloads.

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Architecture Pipeline-centric Accessible Accessibility 95

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. But what happens when the data is wrong? What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? The root of data downtime?

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Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Edureka

JULY 18, 2023

The data analytics industry is booming. In 2022, the global market for data analytics was worth $271.83 This growth is driven by the increasing amount of data generated, the need for businesses to make better decisions with data, and the rise of new technologies such as artificial intelligence and machine learning.

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ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Windows Virtual Machine – Deployment 3. What is AWS?

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Monte Carlo

FEBRUARY 16, 2023

Many of these structures have been adopted and adapted by data engineering teams in their eternal quest to build more reliable data systems. Data reliability is important for us to meet those commitments as well as financial regulations,” said Dan Lameyer, a member of the Mercari DRE team.

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Engineering Data Pipeline Datasets Google Cloud 52

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Two weeks ago, we announced the finalists.

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Pharmaceutical Banking Amazon Web Services Healthcare 45

ProjectPro

JUNE 30, 2016

Now, a big-data driven news app for India. 23K jobs for big data analytics in Bengaluru. Data analytics firms gear up to lure the best talent as the demand for specialised talent increases. TCS partners with four colleges to offer courses in Big Data. Economic Times Academy for data science to be launched.

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Hadoop Big Data Skills Recruitment NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

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Data Engineering Data Engineer Engineering Pipeline-centric 98

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? By 2018, the Big Data market will be about $46.34 The availability of skilled big data Hadoop talent will directly impact the market.

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Hadoop Java BI Big Data 52

Christophe Blefari

JUNE 9, 2023

Rethinking the newsletter ( credits ) Here's a new edition of the Data News newsletter. I plan to do a 1-month break during August. I can tease you that I'll create content about "Create a data platform in 2023", with live examples. The French version will be a bit different than Minds of data.

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Data Government SQL Coding 130

ProjectPro

JUNE 4, 2021

If yes, this blog has some of the best and most exciting IoT projects for you! You will find various IoT-based projects relevant to different industries that can help you land your dream job in data science! So, this is the right time to learn and get started with IoT. IoT is likely to grow from 8.74 But what exactly is IoT?

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Project Healthcare Medical Hospitality 40

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

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Process Transportation Kafka Entertainment 108

Lyft Engineering

SEPTEMBER 27, 2022

The journey of evolving our streaming platform and pipeline to better scale and support new use cases at Lyft. Each unit in the DAG would run at the top of every minute, fetch the data from the previous unit, compute the result, and store it for the next unit. This paradigm had several minutes of inherent latency.

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Tweag

OCTOBER 11, 2023

Online reactive Bayesian machine learning in Haskell In this blog post, we will learn how to include Bayesian machine learning in a reactive rhine application. We are able to observe the object with an unbiased but noisy sensor, modelling the noise as, again, a normal distribution with standard deviation 1.

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Machine Learning Algorithm Programming Process 73

Cloudera

NOVEMBER 8, 2022

Ozone is able to scale to billions of objects and hundreds petabytes of data. It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises. Current releases of Ozone in the Cloudera Data Platform (CDP) are using the write pipeline V1.

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ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

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Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 7, 2021

Are you seeking a job as a data analyst? Your data analyst portfolio is an opportunity to demonstrate your ability to tell a story, which is a crucial data analyst skill. Data Analyst Portfolio Examples - What You Can Learn From Them? This time, though, the tale is about you as a professional, not simply facts.

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Portfolio Building Data Mining Data Analysis 52

Cloudera

APRIL 13, 2021

In our humble opinion, we believe that’s Cloudera Data Platform (CDP). Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks. Use case #1: A biopharmaceutical company doubles its R&D productivity.

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Cloud Pharmaceutical Medical Data Warehouse 73

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

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Hadoop Python Datasets Metadata 52

Rockset

MAY 3, 2023

Rockset is a database used for real-time search and analytics on streaming data. In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. Why measure streaming data ingestion?

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Data Ingestion Kafka Database Architecture 59

Data Engineering Weekly

DECEMBER 4, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. link] Barr Moses: What’s Next for Data Engineering in 2023? Have fun!!!!

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Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

NOVEMBER 30, 2021

This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. The capability of learning different business processes. 1) Market Basket Analysis Have you heard of the Beer-and-diapers story?

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Business Analyst Project Retail Datasets 52

Cloudera

APRIL 21, 2022

military and kept track of health records for millions of active-duty soldiers, sailors, airmen and airwomen, support staff, and retired service people using pens & pencils, typewriters, paper, carbon paper, copy machines, and snail-mail. So how exactly is the EHR managing petabytes of data?

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Electronics Medical Hospitality Insurance 85

Netflix Tech

APRIL 26, 2022

To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our We will share how its design has evolved over the years and the lessons learned while building it.

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Metadata Datasets Machine Learning Designing 75

ProjectPro

JULY 9, 2021

When firing Siri or Alexa with questions, people often wonder how machines achieve super-human accuracy. All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. What is Deep Learning?

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phData: Data Engineering

MAY 11, 2023

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. That begs the question, if it is so easy to learn, “Why formalize a concept like ZDLC?”

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Coding Software Engineer Software Engineering Government 52

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. In this blog, we will talk about the future of database management. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

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Database NoSQL Management Relational Database 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

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Metadata Data Lake Cloud Big Data 86

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

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IT AWS Software Engineer Software Engineering 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.

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Machine Learning Algorithm Government Data Science 52

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything. Four pillars of event streaming.

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Kafka Pipeline-centric Architecture Database-centric 93

ProjectPro

JANUARY 31, 2022

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

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Big Data Hadoop AWS Relational Database 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. With AWS being the first, Microsoft Azure, Microsoft's cloud computing service, ranks as the second-largest market share in the United States. So, let's dive right into it! Table of Contents Why Must You Prepare For Azure Interview Questions?

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