LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). While functional, our current setup for managing tables is fragmented.

Big Data 78

Big Data Data Management Management Metadata 78

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge. What is Big Data Fabric?

Big Data 44

Big Data NoSQL Hadoop Data Lake 44

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

DECEMBER 26, 2023

Using Big Data, they provide technical solutions and insights that can help achieve business goals. They transform data into easily understandable insights using predictive, prescriptive, and descriptive analysis. They are also responsible for improving the performance of data pipelines.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Striim

SEPTEMBER 11, 2024

This is a more efficient data pipeline methodology because it only gets triggered when there is a change to the source.” Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Edureka

JULY 4, 2024

Frustrated due to that cumbersome big data? Overwhelmed with log files and sensor data? Amazon EMR owns and maintains the heavy-lifting hardware that your analyses require, including data storage, EC2 compute instances for big jobs and process sizing, and virtual clusters of computing power. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Monte Carlo

OCTOBER 31, 2024

Both traditional and AI data engineers should be fluent in SQL for managing structured data, but AI data engineers should be proficient in NoSQL databases as well for unstructured data management.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Edureka

AUGUST 27, 2024

It’s useful for quick tasks like remembering settings, managing online sessions, or storing frequently accessed data in a fast way. Column-Family Model: This model is good for handling large amounts of data and writing quickly, similar to Apache Cassandra. Is Cosmos DB SQL or NoSQL?

NoSQL 40

NoSQL MongoDB SQL Database 40

Rockset

JANUARY 5, 2022

While it ensured data integrity, the distributed two-phase lock added a massive delay to SQL database writes — so massive that it inspired the rise of NoSQL databases optimized for fast data writes, such as HBase, Couchbase, and Cassandra. Which is why raw data streams cannot be ingested by traditional rigid SQL databases.

Database 52

Database SQL NoSQL Raw Data 52

Knowledge Hut

DECEMBER 29, 2023

Data scientists may improve their knowledge and response to crucial business demands by opting to specialize in a subfield of their subject. It's possible they'll zero down on a certain data kind, like Big Data, or a computer language. Knowing which data to utilize, how to arrange the data, and so on is essential.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Edureka

FEBRUARY 8, 2024

Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access.

AWS 52

AWS NoSQL Deep Learning Datasets 52

ProjectPro

JUNE 6, 2015

Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. It replaced its traditional BI structure by integrating big data and Hadoop."-April So what is BI?

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

APRIL 27, 2016

Scott Gnau, CTO of Hadoop distribution vendor Hortonworks said - "It doesn't matter who you are — cluster operator, security administrator, data analyst — everyone wants Hadoop and related big data technologies to be straightforward. Sparkling new innovations are easy to find in the big data world.

Hadoop 40

Hadoop Big Data Technology Kafka 40

Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools!

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Data Engineering Podcast

FEBRUARY 9, 2020

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management. What are some of the foundational skills and knowledge that are necessary for effective modeling of data warehouses?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 23, 2024

It uses data from the past and present to make decisions related to future growth. Data Type Data science deals with both structured and unstructured data. Business Intelligence only deals with structured data. It is not as flexible as BI data sources always have to be pre-planned.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

ProjectPro

DECEMBER 17, 2021

are shifting towards NoSQL databases gradually as SQL-based databases are incapable of handling big-data requirements. Industry experts at ProjectPro say that although both have been developed for the same task, i.e., data storage, they vary significantly in terms of the audience they cater to.

Data Science 52

Data Science SQL NoSQL Programming Language 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Spark SQL, for instance, enables structured data processing with SQL.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Big Query Google’s cloud data warehouse. Database A collection of structured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. Documents in MongoDB can also have complex structures. He then went on to work for Capgemini where he helped the UK government move into the world of Big Data.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

ProjectPro

JANUARY 24, 2023

The three essential functions of combining Google Analytics and BigQuery include- 1) Data Manipulation BigQuery allows for data manipulation and transformation, such as filtering, joins, and aggregations, which helps to prepare the data for analysis and visualization. Q: Is BigQuery SQL or NoSQL?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

AltexSoft

NOVEMBER 10, 2021

The data in this case is checked against the pre-defined schema (internal database format) when being uploaded, which is known as the schema-on-write approach. Purpose-built, data warehouses allow for making complex queries on structured data via SQL (Structured Query Language) and getting results fast for business intelligence.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

FEBRUARY 16, 2023

After the inception of databases like Hadoop and NoSQL, there's a constant rise in the requirement for processing unstructured or semi-structured data. Data Engineers are responsible for these tasks. Data Engineer Salaries by Role in the US Data Engineer salary in US varies as per the role.

Data Engineer 52

Data Engineer Data Engineering Engineering Healthcare 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Data Science Data Analytics Cloud Computing 52

Edureka

FEBRUARY 7, 2023

Azure Synapse Interview Questions – Analytics The interview questions and responses for azure data engineers for synapse analytics and stream analytics are covered in this section. 6) Which Azure service would you use to build a data warehouse? 14) What are Azure Databricks, and how are they unique from standard data bricks?

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

ProjectPro

AUGUST 24, 2016

The NOSQL column oriented database has experienced incredible popularity in the last few years. HBase is a NoSQL , column oriented database built on top of hadoop to overcome the drawbacks of HDFS as it allows fast random writes and reads in an optimized way. HBase helps perform fast read/writes.

Architecture 40

Architecture IT Hadoop NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Big Data Organizations can combine and analyze their vast amounts of industrial data thanks to big data technology and applications. However, there has been a lack of Big Data specialists in the IT industry, so if you want to become a Big Data Engineer , now is the time to acquire the required abilities.

Banking 52

Banking Insurance Finance Cloud Computing 52

AltexSoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. Also, solutions provide automated data mapping. ODI interface editor.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. HBase is a distributed, scalable NoSQL database that enterprises use to power applications that need random, real time read/write access to semi-structured data.

NoSQL 48

NoSQL Google Cloud Hadoop Machine Learning 48

ProjectPro

JANUARY 19, 2022

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. The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

ProjectPro

OCTOBER 15, 2014

Table of contents Hive vs Pig What is Big Data and Hadoop? Not only this, few of the people are as well of the thought that Big Data and Hadoop are one and the same. What is Big Data and Hadoop? 11) Pig supports Avro whereas Hive does not.

Hadoop 52

Hadoop Java Unstructured Data SQL 52

ProjectPro

JULY 27, 2021

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. that leverage big data analytics and tools. Preparing for data engineer interviews makes even the bravest of us anxious.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40