Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What are the business challenges with today’s data?

Hospitality 91

Hospitality Retail Kafka Data Ingestion 91

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Figure 1: Data requirements for phases of the drug product lifecycle.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Complex SQL queries have long been commonplace in business intelligence (BI).

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Towards Data Science

DECEMBER 1, 2023

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workload Image by DALLE-3 Vector databases are built for high-dimensional vector retrieval. After performing the same procedure for each ANN index, the benchmark generates a plot like the one below: Figure from ANN Benchmarks (11/25/2023).

Database 52

Database Algorithm Datasets Kafka 52

ProjectPro

FEBRUARY 16, 2023

Over 3 billion monthly searches, 2,400+ unique apps and add-ons, and 1,000+ unique data integrations make SPLUNK ‘the big data solution for the hybrid world’! Splunk is an outstanding tool for exploring, monitoring, analyzing, and acting on your data. How do you compress data in Splunk?

Big Data 52

Big Data Big Data Tools Cloud Data 52

Knowledge Hut

DECEMBER 28, 2023

The world is producing data at an unprecedented rate. Imagine having all your business data - from customer information to product inventory - stored in one secure location, easily accessible, ready to be queried, updated, and analysed. Working with databases is essential for developers, regardless of their field.

Database 52

Database MySQL SQL Relational Database 52

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?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Netflix Tech

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. First, we must provide the content that will bring them joy.

Media 116

Media Building Algorithm Machine Learning 116

Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 125

Kafka Data Ingestion Data Pipeline Cloud Storage 125

Tweag

APRIL 3, 2023

For a software team to be successful, you need excellent communication. That is why we want to build systems that foster cross-team communication. A monorepo provides: Visibility: by seeing the pull requests (PRs) of colleagues, you are easily informed of what other teams are doing.

Python 98

Python Coding Project Data Science 98

Lyft Engineering

MARCH 27, 2023

We know what you’re thinking — testing in production is one of the cardinal sins of software development. We’ll explore why Lyft needed a custom performance testing framework that worked in production, how we built a cross-functional solution, and how we’ve continued to improve this testing platform since its launch in 2016.

Coding 131

Coding Database Systems Engineering 131

DoorDash Engineering

JANUARY 23, 2024

DoorDash has grown from executing simple restaurant deliveries to working with a wide variety of businesses, ranging from grocery and retail to parcels and pet supplies. During the assignment run, DeepRed fetches this information from delivery service via Apollo and uses these configurations for an assignment decision.

Architecture 74

Architecture Metadata Bytes Systems 74

Monte Carlo

JUNE 7, 2022

The data world moves unapologetically fast. It seems like just last year we started talking about how data teams were transitioning from providing a service, to treating data like a product or even building internal products across a decentralized data mesh architecture. What is an external data product?

Building 52

Building Raw Data Architecture Machine Learning 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

AltexSoft

MAY 12, 2021

This exposure makes the respiratory system extremely susceptible to a wide range of diseases, from long-familiar asthma to novel COVID-19. Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data. Far from being perfect, AI tools still can be used to support doctors’ decisions.

Medical 72

Medical Healthcare Datasets Machine Learning 72

AltexSoft

OCTOBER 21, 2022

We say ‘xerox’ speaking of any photocopy, whether or not it was created by a machine from the Xerox corporation. Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. process data in real time and run streaming analytics.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Zalando Engineering

OCTOBER 18, 2023

Directives provide a way to extend the language features of GraphQL using a supported syntax. Certain directives are built into GraphQL, like @skip , @include , @deprecated , and @specifiedBy , and are supported by all GraphQL engines. The queries can contain customer fields along with product fields and other non-customer data.

Metadata 87

Metadata Coding Banking Designing 87

Edureka

JANUARY 12, 2024

Bureau of Labor Statistics projects that by 2024, there will be approximately 853,000 jobs available for these professionals, up from 135,000 today. Explore our list of the top 40 Full Stack Developer Interview Questions to ace your next tech interview! How to crack full stack Java developer Interview?

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Cloudera

AUGUST 24, 2020

In the last blog with Deloitte’s Marc Beierschoder, we talked about what the hybrid cloud is, why it can benefit a business and what the key blockers often are in implementation. When building your data foundation, how can you prioritize innovation within a hybrid cloud strategy? You can read it here. . Thanks for joining us.

Cloud 75

Cloud Building Government Metadata 75

Rockset

DECEMBER 1, 2023

What is load testing and why does it matter? Load testing is a critical process for any database or data service, including Rockset. This means you can isolate queries from ingest or isolate different apps on different VIs to ensure scalability and performance. This helps with deciding on a single or multi-VI architecture.

SQL 59

SQL Python Scala Utilities 59

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Cloudera

AUGUST 9, 2022

The previous decade has seen explosive growth in the integration of data and data-driven insight into a company’s ability to operate effectively, yielding an ever-growing competitive advantage to those that do it well. Our customers have become accustomed to the speed of decision making that comes from that insight.

Data Lake 75

Data Lake Data Warehouse Architecture Data Ingestion 75

Netflix Tech

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. This motivated the development of DBLog , which offers log and dump processing under a generic framework.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Monte Carlo

MARCH 18, 2021

As founders of companies that build solutions designed to help teams deliver on the promise of data , we knew we wanted to build great products that are easy to deploy and manage for our customers. Here’s why. For data leaders, choosing which problem to address can feel like an exercise in picking your poison.

Architecture 52

Architecture Metadata Software Engineer Software Engineering 52

Confluent

MAY 9, 2019

So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything. Why a payment system, you ask? Putting it all together. Deployment model.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

Netflix Tech

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. This motivated the development of DBLog , which offers log and dump processing under a generic framework.

MySQL 79

MySQL PostgreSQL Database Transportation 79

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?

IT 52

IT AWS Software Engineer Software Engineering 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% from 2019 to 2026, reaching $61.42 This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Is PySpark a Big Data tool? billion by 2026.

Hadoop 52

Hadoop Python Datasets Metadata 52

Zalando Engineering

FEBRUARY 15, 2021

You can read about this transition on our engineering blog. Last year we started to explore the potential value of tooling provided by Zalando's Machine Learning Platform (ML Platform) team as part of our strategy investment. This adds an additional layer of complexity, making it difficult to maintain and to onboard new team members.

Machine Learning 40

Machine Learning AWS Scala Python 40

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

Cloudera

MAY 16, 2018

Trade surveillance in the financial services industry must respond to their creativity and the complexities of a global trading network, the myriad of digital and physical communications, as well as social media-savvy players that develop sophisticated schemes, often converging on different forms of financial crime.

Data Lake 41

Data Lake Electronics Media Unstructured Data 41

Edureka

FEBRUARY 8, 2023

Whether you’re a seasoned mobile developer or just starting out, React Native is a must-know tool for building cutting-edge mobile apps. So why wait? The goal of React Native is to allow developers to build native mobile apps for iOS and Android platforms with a single codebase. 2019: React Native version 0.60

Building 52

Building Project Accessible Accessibility 52

Rockset

JANUARY 5, 2022

Rockset is the real-time analytics database in the cloud for modern data teams. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning. But nothing could be further from the truth. of developers. of developers. This may come as a surprise.

Database 52

Database SQL NoSQL Raw Data 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

Databand.ai

JANUARY 24, 2023

The Ultimate Guide for Data Teams Eric Jones 2023-01-24 12:21:38 If you find yourself hearing a lot about DataOps and then subsequently asking, “ What is DataOps? The concept of DataOps has become prevalent in recent years as a way to ensure teams effectively manage data and maintain efficient access to high quality, timely data.

Retail 52

Retail Banking Government Manufacturing 52