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.

Data Science 52

Data Science Medical Machine Learning Data 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?

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Lyft Engineering

OCTOBER 3, 2023

High-quality data is necessary for the success of every data-driven company. It enables everything from reliable business logic to insightful decision-making and robust machine learning modeling. It is now the norm for tech companies to have a well-developed data platform. What and Where is Data Quality?

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The sections that follow dive into the technology capabilities of COD and , more broadly, the Cloudera Data Platform that deliver these value propositions. . Technology Cost Optimization.

Database 93

Database AWS Relational Database Government 93

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!!!!

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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.

Project 52

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. PinPod functions as a general purpose compute unit and is currently serving Jupyter Notebook for Pinterest developers. (2)

Architecture 95

Architecture Pipeline-centric Accessible Accessibility 95

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. Rapid Document Conversion 2. How do I learn AWS from scratch?

AWS 52

AWS Project Amazon Web Services Cloud Computing 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. Your search for business analyst project examples ends here. Strong time management skills.

Business Analyst 52

Business Analyst Project Retail Datasets 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.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

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.

Database 52

Database NoSQL Management Relational Database 52

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.

Engineering 52

Engineering Data Pipeline Datasets Google Cloud 52

Databand.ai

DECEMBER 29, 2022

The Top Data Strategy Influencers and Content Creators on LinkedIn Eitan Chazbani 2022-12-29 14:08:41 What’s the latest in the data world? When it comes to LinkedIn (and beyond) here are our recommendations for the top 25 data strategy influencers and content creators to keep tabs on. So who should you be following?

BI 52

BI Consulting Data Science Data Governance 52

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.

Hadoop 52

Hadoop Python Datasets Metadata 52

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.

Data Engineering 52

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.

Portfolio 52

Portfolio Building Data Mining Data Analysis 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!

Big Data 52

Big Data Hadoop AWS Relational Database 52

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

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?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

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!

IT 52

IT AWS Software Engineer Software Engineering 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?

BI 52

BI Cloud Computing SQL Database 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.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Edureka

JANUARY 12, 2024

Ensures smooth operation and data handling behind the scenes. This approach minimizes the delay between updates and ensures real-time data transmission. Python is widely used for back-end web development, data science, and machine learning and is renowned for its simplicity and extensive libraries.

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. Understanding the Hadoop architecture now gets easier!

Hadoop 40

Hadoop Architecture IT Big Data 40

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.

Hadoop 52

Hadoop Java BI Big Data 52

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?

Project 40

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.

Process 108

Process Transportation Kafka Entertainment 108

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. Streamed to hundreds of people around the globe, we were able to come together to celebrate some incredible successes. . Data Impact Achievement Award. Winner: OVO.

Medical 120

Medical Banking Telecommunication Government 120

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

Manufacturing 104

Manufacturing Transportation Pharmaceutical Data Consolidation 104

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. Here, all of the company’s R&D research, clinical, and third-party data sources are integrated.

Cloud 75

Cloud Pharmaceutical Medical Data Warehouse 75

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.

Metadata 82

Metadata Algorithm Hadoop Cloud 82

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?”

Coding 52

Coding Software Engineer Software Engineering Government 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?

Electronics 85

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