Data Engineering Weekly

MARCH 17, 2024

[link] Jarkko Moilanen: Exploring the Frontier of Data Products - Seeking Insights on Emerging Standards Data products are becoming a central part of the data pipeline strategy, bringing a new approach to building data as an asset. The article compares all the VectorDB available in the market.

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Data Engineering Data Engineer Engineering Data Governance 70

Precisely

MAY 13, 2024

A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

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Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

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Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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Data Engineering Data Engineer Coding Project 52

Ascend.io

JANUARY 10, 2024

This process ensures your data is accurate, complete, and consistently up-to-date — preventing any degradation that could mislead your AI, which can lead to erroneous outputs. Effective Data Governance: Lastly, let’s talk about governance. This is your rulebook for managing data. Actionable tip?

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Data Engineering Podcast

JUNE 5, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. By the time errors have made their way into production, it’s often too late and damage is done.

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Data Security Metadata MongoDB Scala 100

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

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Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. GDPR, HIPAA), and industry standards.

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Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

JUNE 19, 2022

In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

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Metadata MongoDB Scala MySQL 130

Snowflake

SEPTEMBER 13, 2023

Business Continuity Data pipelines replication – public preview You can now easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake. You can call this stored procedure to send an email notification from a task, your own stored procedure, or an interactive session.

Python 79

Python SQL Data Pipeline Data Ingestion 79

Ascend.io

JULY 26, 2023

Data teams are tasked with the crucial responsibility of transforming raw data into valuable insights, a process that directly influences business outcomes. This article aims to shed light on these challenges that data teams commonly face and offers insights into the practices of successful data teams.

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Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? To make things a little easier, I’ve outlined the six must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them. The five must-have layers of a modern data platform Second to “how do I build my data platform?”,

Building 52

Building BI Data Lake Data Governance 52

Mutt Data

JULY 16, 2023

Challenge Addi had established a functioning analytical data platform, however, they aimed to enhance its capabilities and take it to the next level by implementing a Modern Data Stack. The project included: Setting up Databricks as the place to host the company data lake with delta tables to use as a single source of truth.

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Data Lake Data Ingestion Banking Data Pipeline 40

Monte Carlo

MAY 25, 2023

Picture this: your data is scattered. Data pipelines originate in multiple places and terminate in various silos across your organization. Your data is inconsistent, ungoverned, inaccessible, and difficult to use. Some of the value companies can generate from data orchestration tools include: Faster time-to-insights.

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Data Pipeline Data Workflow Data Data Governance 52

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Data Ingestion Data Government Datasets 40

Mutt Data

JULY 16, 2023

Challenge Addi had established a functioning analytical data platform, however, they aimed to enhance its capabilities and take it to the next level by implementing a Modern Data Stack. The project included: Setting up Databricks as the place to host the company data lake with delta tables to use as a single source of truth.

Data Lake 40

Data Lake AWS Data Ingestion Banking 40

Cloudera

DECEMBER 20, 2021

In the past year, the Bank of the West has begun using the Cloudera platform to establish a data governance and security framework to manage and protect its customers’ sensitive information. The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

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Government Data Security Banking Metadata 89

Monte Carlo

OCTOBER 5, 2023

This collaborative approach helps teams better understand the full scope of data quality, balancing technical intricacies with its broader strategic relevance. Data quality standards for governance Data governance is the process of maintaining the availability, usability, privacy, and security of data.

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Government Data Governance Data Datasets 52

DareData

JULY 5, 2023

Typically, it is advisable to retain the data in its original, unaltered format when transferring it from any source to the data lake layer. The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users. This flexibility can lead to valuable insights and opportunities for business growth.

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Data Lake Building Raw Data ETL Tools 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. It is also crucial to have experience with data ingestion and transformation.

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Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

MARCH 14, 2023

In fact, having a well-rounded understanding of each of these areas can be a valuable asset for data professionals. Data governance, orchestration, and monitoring Data governance is a crucial component of modern data stacks as it ensures that data is managed appropriately and complies with relevant regulations.

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IT Data Warehouse Data Governance Data Lake 59

Data Engineering Podcast

NOVEMBER 16, 2020

At Isima they decided to reimagine the entire ecosystem from the ground up and built a single unified platform to allow end-to-end self service workflows from data ingestion through to analysis. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Management 100

Data Management Management BI Business Intelligence 100

Snowflake

AUGUST 16, 2023

What remains challenging is how streaming data is brought together with batch data. That’s why we built Snowpipe Streaming, now generally available to handle row-set data ingestion. This is where Dynamic Tables (currently in public preview) come in.

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Scala Transportation Kafka Data Lake 52

Knowledge Hut

JANUARY 3, 2024

Azure Data Engineer Azure Data Engineers are experts in the design and implementation of data solutions on Azure. Using Azure services, they create, manage, and optimize data pipelines, databases, and data warehouses. Experience in data modeling, data ingestion, and data transformation.

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Cloud Computing Recruitment Computer Science Education 52

Snowflake

JULY 18, 2023

Data infrastructure that makes light work of complex tasks Built as a connected application from day one, the anecdotes Compliance OS uses the Snowflake Data Cloud for data ingestion and modeling, including a single cybersecurity data lake where all data can be analyzed within Snowflake.

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Data Process Process Data Lake Data Ingestion 52

Monte Carlo

NOVEMBER 14, 2023

Without a central query log, your team can run the risk of data loss and lack of data governance. Limited data type support. Apache Iceberg supports several data types, including text, integers, and floats.

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Data Lake Metadata Data Warehouse SQL 64

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. Gain hands-on experience using Azure data services.

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Data Engineering Data Engineer Engineering Programming Language 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. For this task, you need a dedicated specialist — a data engineer or ETL developer.

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

FEBRUARY 22, 2021

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets. query failures, cost overruns).

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Data Warehouse Data Governance Government Cloud 79

phData: Data Engineering

JANUARY 3, 2022

This means it’s business-critical that companies can derive value from their data to better inform business decisions, protect their enterprise and their customers, and grow their business. This comprehensive guide will cover all of the basics of data engineering including common roles, functions, and responsibilities.

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Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

AUGUST 24, 2021

Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Google BigQuery receives the structured data from workers.

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Data Engineering Data Engineer Coding Project 52

Data Engineering Weekly

NOVEMBER 13, 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. Sign up free to test out the tool today.

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Data Engineering Data Engineer Engineering Kafka 52

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

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Scala Data Lake BI Google Cloud 64

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Data engineering tools can help automate many of these processes, allowing data engineers to focus on higher-level tasks like extracting insights and building data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

FEBRUARY 21, 2023

GCP Data Engineer Certification The Google Cloud Certified Professional Data Engineer certification is ideal for data professionals whose jobs generally involve data governance, data handling, data processing, and performing a lot of feature engineering on data to prepare it for modeling.

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Certification Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 29, 2023

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

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Data Lake Architecture IT Amazon Web Services 52