DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data Governance 98

Data Governance Big Data Government Data Science 98

Data Engineering Weekly

DECEMBER 4, 2022

I agree with #3 (central data platform team remains) and #6 (data warehouse and data lake difference blur); it will be amazing if #4 ( > 51% ML application in production) becomes true. On #5, I have a vested interest in Data Contract with Schemata , So hell yeah.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No.

Kafka 82

Kafka SQL ETL Tools Data Lake 82

Data Engineering Weekly

JUNE 25, 2023

link] Ziheng Wang: Open Vector Data Lakes We’ve seen the rise of vector databases in the market. The cost, vendor locking, and the properties of the data storage engine are frequent points of discussion in the vector database space. Join Monte Carlo, dbt, and Shiftkey's VP of Data & Analytics, John Steinmetz.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

NOVEMBER 17, 2023

They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. His submission post can be found here.

Google Cloud 75

Google Cloud Cloud Storage Data Lake Data Pipeline 75

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Cloud Computing 77

Cloud Computing Government Data Lake Cloud 77

Cloudera

APRIL 29, 2021

If you missed it, Cloudera gave a webinar about NiFi’s monitoring capability, and you can watch the replay on demand. Cloudera commits to provide you with the best options to move data from any system to any other system. NiFi’s user experience.

Cloud 75

Cloud Amazon Web Services Google Cloud Data Lake 75

Cloudera

MAY 19, 2021

Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files. On June 3, join the NVIDIA and Cloudera teams for our upcoming webinar Enable Faster Big Data Science with NVIDIA GPUs. Register Now. .

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

Cloudera

DECEMBER 15, 2022

New capabilities such as multi-cloud deployment, ACID compliance, and enhanced multi-function analytics accelerate implementation for the multi-cloud open data lakehouse to meet ever-evolving requirements for modern data warehouse, data lake, AI/ML, data science, and more. .

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Monte Carlo

JUNE 14, 2023

The modern data stack era , roughly 2017 to present data, saw the widespread adoption of cloud computing and modern data repositories that decoupled storage from compute such as data warehouses, data lakes, and data lakehouses. Zero ETL is a bit of a misnomer.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

FEBRUARY 8, 2024

The support for Apache Iceberg as the table format in Cloudera Data Platform and the ability to create and use materialized views on top of such tables provides a powerful combination to build fast analytic applications on open data lake architectures.

Metadata 90

Metadata Data Warehouse BI AWS 90

Data Engineering Weekly

SEPTEMBER 3, 2023

link] Kyle Weller: Delta, Hudi, Iceberg — A Benchmark Compilation The LakeHouse architecture brings the best of the database and the data lake into the data infrastructure. But 4 years later, in 2023 — where has the data mesh gotten us? Which one to choose? Which one runs faster than the other?

Data Engineering 73

Data Engineering Data Engineer Engineering Data 73

ProjectPro

MARCH 1, 2018

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.” PRNewswire.com, February 1, 2018.

Hadoop 52

Hadoop NoSQL Retail BI 52

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Bytes 57

Bytes Metadata Data Lake SQL 57

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. Big data architecture is used to augment different applications, operating alongside or in a discrete fashion with a data warehouse.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Knowledge Hut

SEPTEMBER 25, 2023

AWS Certified Data Analytics Specialty: This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Cloudera

APRIL 3, 2023

Thus simplifying data exploration, ETL and deriving analytical insights on any enterprise data across the Data Lake. To learn more: Replay our webinar Unifying Your Data: AI and Analytics on One Lakehouse, where we discuss the benefits of Iceberg and open data lakehouse.

Data Warehouse 81

Data Warehouse Metadata Java Data 81

Knowledge Hut

SEPTEMBER 29, 2023

You can browse the data lake files with the interactive training material. You can then use data transformation technologies once you have mastered data ingestion procedures. To safeguard data while it is in transit and at rest, you must also learn how to deploy security measures.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Rockset

JANUARY 28, 2022

For real-time analytics, the cloud-native Rockset improves upon DynamoDB by being able to simultaneously ingest massive data streams, indexing that data so it is available for queries within two seconds, and then enabling a high number of concurrent SQL queries. Watch the webinar below. That’s observability.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Cloudera

FEBRUARY 4, 2019

Stream Processing – Manage and process multiple streams of real-time data using the most advanced distributed stream processing system – Apache Kafka. Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

Data Ingestion 73

Data Ingestion Retail Kafka Data Lake 73

DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. In some cases, DataOps has helped us save hours, weeks and even months of work. .

Engineering 60

Engineering BI Business Analyst Metadata 60

Knowledge Hut

OCTOBER 3, 2023

Join conferences, webinars, and events related to Azure. Solid understanding of Scala, Python, SQL, and other data processing languages is needed. Engaging with social media groups, forums, and communities helps you learn from others. You can also exchange relevant information, so you’re informed about new practices.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

NOVEMBER 28, 2023

The cloud could also be full of semi-structured or unstructured data with more than 225 no SQL schema data stores, which makes it one of the most important skills to be thorough with. Presentation Skills Data engineers may need to take seminars, webinars, and presentations.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

NOVEMBER 30, 2022

But the reason data teams want to better understand how to implement data mesh is because it solves genuine pain-points. How to implement data mesh webinar.

Data 52

Data Government Architecture Data Lake 52

AltexSoft

NOVEMBER 7, 2022

Airflow 101: Essential Tips for Beginners is a webinar by Astronomer to introduce key concepts and components of the platform as well as best practices for working with it. Airflow works with batch pipelines which are sequences of finite jobs, with clear start and end, launched at certain intervals or by triggers. Content for the latest, 2.4.2,

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

JULY 6, 2015

What do employers from top-notch big data companies look for in Hadoop resumes? You can click on the link below to listen to a recording of the recent webinar on “Interview Tips to Get Hired by Big Data Hadoop Companies” by Bob Kelly. How do recruiters select the best Hadoop resumes from the pile? CareerPlanners Inc.

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

Cloudera

JUNE 4, 2018

With Cloudera Enterprise Data Hub as the foundation for data acquisition, centralization, and indexing, more intelligent applications can be built on top of it to support: insight discovery. For a deep dive into the challenges and potential of handling massive quantities of diverse content with Cloudera, join our upcoming webinar.

Pharmaceutical 46

Pharmaceutical Unstructured Data Electronics Metadata 46

ProjectPro

JULY 23, 2021

AWS S3 allows you to store the dataset (CSV file) in S3 buckets for further processing, and CloudWatch keeps track of your data's log files and lets you analyze them as needed. Source Code- AWS Athena Big Data Project for Querying COVID-19 Data 25. You can proceed further by attending AWS events, webinars, workshops, etc.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52