Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. However, the ultimate goal is simple: to prepare data for immediate use.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Striim

NOVEMBER 17, 2023

In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Two key players in this field, Striim and Google BigQuery ML, offer a powerful combination to make this possible.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Databand.ai

JULY 5, 2023

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. In this article: Why Are Data Observability Tools Important? Faster Troubleshooting Data pipeline failures are expensive and damaging to organizations.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 106

IT Unstructured Data Data Architecture Government 106

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 78

Data Lake Analytics Application Cloud Storage Architecture 78

Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. These days, practically every industry effectively employs various machine learning ideas in one way or another. They may swiftly pick up a new notion, make fresh alterations while referring to it, and even get ready for interviews.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Monte Carlo

MARCH 24, 2023

Imagine a zoo employee entering data on the heights of different animals and they accidentally swap the data for giraffes and penguins. The data has integrity because the information is all there. The heights for both giraffes and penguins have been entered, and there’s no missing or corrupt data.

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

AltexSoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Databand.ai

NOVEMBER 4, 2022

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

Data 52

Data Data Pipeline Retail Metadata 52

Monte Carlo

SEPTEMBER 12, 2022

The field of data engineering has been growing at a breakneck pace. Keeping up with the latest developments can feel like a full-time job—so we’re always grateful when seasoned leaders share their perspectives on which trends in data engineering actually matter. Plus, he was one of the first data engineers at Facebook and Airbnb.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Maxime Beauchemin

JANUARY 20, 2017

By the time I left in 2013, I was a data engineer. We were data engineers! Data Engineering? Data science as a discipline was going through its adolescence of self-affirming and defining itself. At the same time, data engineering was the slightly younger sibling, but it was going through something similar.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

DataKitchen

JANUARY 25, 2021

For many data professionals, this situation is all too familiar. Analytics, in the modern enterprise, span toolchains, teams, and data centers. Large enterprises ingest data from dozens or hundreds of internal and external data sources. An error could occur in any of the millions of steps in the data pipeline.

Data Pipeline 97

Data Pipeline Building Process Utilities 97

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

Data Process 40

Data Process Process Building Machine Learning 40

Monte Carlo

AUGUST 15, 2022

When you’re the first data hire at a startup, the sky’s the limit—and that can be incredibly overwhelming. No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch. And much more.

Building 52

Building Business Intelligence Finance Database 52

Netflix Tech

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. In the snippet above, we’re accessing the detail key for the video object with id 80154610.

Java 93

Java Metadata Coding Architecture 93

ProjectPro

JUNE 13, 2018

So, for those looking for a career in Amazon Web Services, this blog lists the best AWS certifications available today, including the cost, duration, and topics covered in each certification exam. AWS Certification Levels AWS Certified Big Data - Specialty Best AWS Certifications List for 2023 Are AWS Certifications Worth it?

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 88

Data Collection Data Lake Unstructured Data Retail 88

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. You’ll also learn the steps to build an AWS Data Pipeline.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Manufacturing 85

Manufacturing Data Pipeline Data Data Analytics 85

Ascend.io

APRIL 5, 2023

The data landscape evolves at an astonishing pace. New tech, new best practices, and new roles are constantly emerging and changing the way teams create value from data. Over the last few years, tools and platforms in the data space have been removing the burden of managing and maintaining outdated architectures and codebases.

Engineering 52

Engineering Raw Data BI Software Engineer 52

Cloudera

DECEMBER 20, 2023

Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware. Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem.

Amazon Web Services 70

Amazon Web Services AWS Machine Learning Datasets 70

Cloudera

AUGUST 10, 2022

CSP allows developers, data analysts, and data scientists to build hybrid streaming data pipelines where time is a crucial factor, such as fraud detection, network threat analysis, instantaneous loan approvals, and so on. Cloudera Stream Processing Community Edition.

Process 85

Process Kafka PostgreSQL MySQL 85

LinkedIn Engineering

APRIL 25, 2023

since its inception in 2013, LinkedIn has built thousands of microservices to enable the exchange of data with our engineers and our external partners. Though this microservice architecture has worked out really well for our API engineers, when our clients need to fetch data they find themselves talking to several of these microservices.

Architecture 109

Architecture Metadata Java Transportation 109

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. Advanced capabilitie.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

LinkedIn Engineering

AUGUST 23, 2023

To achieve this, we are continually working to modernize our architecture , and we have recently made further improvements that simplify the process while maintaining excellent performance. In this blog post, we are delighted to introduce a significant upgrade to our model's capabilities.

Architecture 82

Architecture Deep Learning Datasets Machine Learning 82

Cloudera

MARCH 24, 2021

One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., disks, remote storage), transfers over the network, or even data materialization during query execution. Introduction. Lazy decoding. CDP Runtime 7.2.9

Data Warehouse 73

Data Warehouse Cloud Data Database 73

Monte Carlo

JULY 28, 2022

There are virtually an unlimited number of ways data can break. But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Databand.ai

JULY 28, 2022

What is Data Lineage? Niv Sluzki 2022-07-28 10:20:02 The term “data lineage” has been thrown around a lot over the last few years. And getting it right matters even more to data organizations. This article will unpack everything you need to know about data lineage, including: What is it? What is data lineage?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Contents: Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

dbt Developer Hub

MARCH 1, 2022

Strong data engineering and data analytics teams. A cloud data warehouse and an on-prem BI tool for front-end data visibility. Analysts who built key tables left, new analysts joined and re-made or duplicated key tables. Suddenly, “the truth” was hard to find as data sprawl increased.

Engineering 52

Engineering Database Database Design Raw Data 52

Ascend.io

JUNE 8, 2023

Because of its transformative potential, data has graduated from being merely a by-product of business operations to a critical asset in its own right. Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? Without them, data products can’t exist.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Knowledge Hut

JULY 7, 2023

Best Certification Courses in Full-Stack Development In this blog, we will delve into the top 20 Full-Stack Developer courses that can help you embark on this exciting career journey or take your existing skills to new heights. According to the U.S. Looking to explore more Full-Stack Web Development Courses with certification? Keep reading!

Certification 52

Certification MongoDB Database-centric Programming 52