Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. CDP Data Lake cluster versions – CM 7.4.0, CDP Data Lake cluster versions – CM 7.4.0, Pre-Check: Data Lake Cluster.

Cloud 71

Cloud Data Lake Cloud Storage Metadata 71

ProjectPro

SEPTEMBER 14, 2016

A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do? Table of Contents Who is a Hadoop Developer?

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Data Engineering Podcast

JULY 10, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Apache Sentry is a role-based authorization module for specific components in Hadoop. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Hadoop 76

Hadoop SQL Database Kafka 76

Data Engineering Weekly

MARCH 19, 2023

The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc.,

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

DataKitchen

DECEMBER 6, 2022

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools?

Data Lake 52

Data Lake Hadoop Government Data Analytics 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Weekly

DECEMBER 21, 2022

The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. Let’s reference what the data world looked like before the Hadoop era.

Data Engineering 57

Data Engineering Data Engineer Engineering Hadoop 57

Data Engineering Podcast

JANUARY 13, 2019

Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0 Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0

Database 100

Database PostgreSQL SQL MongoDB 100

Data Engineering Podcast

MARCH 22, 2021

ELT – keep all source tables and use DBT for converting relevant tables into star/snowflake/data vault/wide tables) What are your thoughts on the viability of a data lake as the destination system? S3/Parquet or Trino/Drill/etc.) S3/Parquet or Trino/Drill/etc.)

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Knowledge Hut

JANUARY 22, 2024

Capstone projects involve analyzing company data to drive business strategy and decisions. Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Data Lake 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

DECEMBER 7, 2020

Apache Hadoop Distributed File System (HDFS) is the most popular file system in the big data world. The Apache Hadoop File System interface has provided integration to many other popular storage systems like Apache Ozone, S3, Azure Data Lake Storage etc. References: Apache Hadoop ViewFS Guide: [link].

Systems 59

Systems Hadoop Metadata Datasets 59

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. Deepak regularly shares blog content and similar advice on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

MAY 15, 2019

Barbara Eckman from Comcast is another keynote speaker, and is also presenting a breakout session about Comcast’s streaming data platform. The platform comprises ingest, transformation, and storage services in the public cloud, and on-prem RDBMS’s, EDW’s, and a large, ungoverned legacy data lake.

Cloud 48

Cloud Hadoop Healthcare Big Data Ecosystem 48

Knowledge Hut

NOVEMBER 17, 2023

Another data-related tool is AWS glue, allowing analysts and data scientists to manage and search for the appropriate data. With AWS Glue, you can create a unified catalog within the data lake for faster access. Machine learning Today, there is a surge in demand for AWS machine learning data scientists.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Cloudera

NOVEMBER 10, 2020

We have evolved with our users, from early-on Hadoop hackers needing quick access to data in the Data Lake, to a much more sophisticated SQL tool. It is the most popular SQL editing tool on the market today for modern data warehousing and is used by millions of users, worldwide, on a daily basis.

SQL 110

SQL Unstructured Data Data Lake Hadoop 110

Cloudera

SEPTEMBER 23, 2020

It can aggregate and summarize access patterns from multiple data lakes. From the profiled data summaries of access patterns, one can put in place security policies using Apache Ranger to detect and handle any problematic access. Sensitive data identification.

Database 82

Database Data Lake Metadata Java 82

Cloudera

AUGUST 21, 2020

These platforms represent far more than just “Hadoop” . Over time, additional use cases and functions expanded from original EDW and Data Lake related functions to support increasing demands from the business. But the “elephant in the room” is NOT ‘Hadoop’. The only constant is change, however. Let’s Talk!

Hadoop 74

Hadoop Big Data Cloud Kafka 74

Edureka

FEBRUARY 9, 2023

This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. Experience with data warehousing and ETL concepts, as well as programming languages such as Python, SQL, and Java, is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 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. Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

SEPTEMBER 15, 2020

Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Figure 2: Access home directory contents in ADLS-Gen2 via Hadoop command-line. The post Access control for Azure ADLS cloud object storage appeared first on Cloudera Blog.

Accessible 77

Accessible Accessibility Cloud Cloud Storage 77

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. The post Addressing the Three Scalability Challenges in Modern Data Platforms appeared first on Cloudera Blog. CRM platforms).

Government 92

Government Hadoop Data Security Data Warehouse 92

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Different techniques are employed to store various kinds of data.

Certification 52

Certification Data Engineering Data Engineer Engineering 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! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Government Hadoop 46

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder 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! Fixing and rerunning the queries is a time-wasting hassle.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

AltexSoft

MAY 14, 2021

With the ETL approach, data transformation happens before it gets to a target repository like a data warehouse, whereas ELT makes it possible to transform data after it’s loaded into a target system. Data storage and processing. Apache Hadoop. Hadoop architecture layers. Source: phoenixNAP. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

DataKitchen

JUNE 12, 2023

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science. Why should I care?

ETL Tools 52

ETL Tools Data Science Data Lake Hadoop 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry! Candidates must register on www.examslocal.com.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Big Data Tools

SEPTEMBER 6, 2021

How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes. This blog post is more about data quality, though, describing how they built their data quality platform. 100% test coverage sounds amazing, too, so good job!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

FEBRUARY 16, 2023

of data engineer job postings on Indeed? If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

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. Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Is it actually worth pursuing?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. It enables flow from a data lake to an analytics database or an application to a data warehouse. This blog will teach you about AWS Data Pipeline, its architecture, components, and benefits.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44