Data Engineering Weekly

JUNE 4, 2023

Our latest report highlights the impact of bad data on your bottom line (did you know that poor data quality impacts 31% of revenue?!) Access the Report Kaushik Muniandi: Text-Based Search - From Elastic Search to Vector Search Last month or so, I experimented with vector search with embedding.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Knowledge Hut

APRIL 25, 2024

Information Technology is a field that manages and processes information for large-scale organizations or companies. Information technology is now synonymous with any form of digital communications and technologies. Even analyzing consumer data or live streaming social media plays a vital role in Information Technology.

Technology 52

Technology Recruitment Media Cloud Computing 52

Edureka

FEBRUARY 8, 2024

Each generation represents an evolution in technology, offering improvements in terms of performance, efficiency, and new features. 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. T2, M5, C5).

AWS 52

AWS NoSQL Deep Learning Datasets 52

Rockset

SEPTEMBER 20, 2022

Introduction Cryptocurrencies and NFTs have helped bring blockchain technology to the mainstream over the last few years, driven by the potential for astronomic financial returns. However, analyzing the data generated on the blockchain by these dApps is challenging.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Rockset

SEPTEMBER 8, 2021

At Rockset, we work hard to build developer tools (as well as APIs and SDKs) that allow you to easily consume semi-structured data using SQL and run sub-second queries on real-time data. In the community, we’ll be sharing topics related to product releases, blogs, events, memes, and more.

SQL 52

SQL Data Ingestion Consulting Data Pipeline 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Rockset

JULY 29, 2022

This consistency promotes data integrity, so you can trust the insights to make informed decisions. Additionally, data warehouses are great at offering historical intelligence. However, organizations today are moving beyond just batch analytics on historical data. Late-arriving events need to be reloaded or backfilled.

Data Analytics 52

Data Analytics Data Warehouse Datasets Google Cloud 52

Rockset

MAY 24, 2019

Remote work affords organizations access to more talent and offers workers greater flexibility in their lives. FULL makes extensive use of technology to route calls to remote staff over the Internet and coordinate teams of agents separated by geography and time zones.

Management 52

Management Medical SQL Utilities 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

OCTOBER 20, 2021

With the speed and scale at which new data is constantly being generated in today’s real-time world, such analytics based on data that is days, hours, or even minutes old may no longer be useful. For high velocity data, most commonly coming from data streams, you can roll it up at write-time.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

AltexSoft

AUGUST 18, 2021

Airlines employ the technology to forecast rates of competitors and adjust their pricing strategies accordingly. External factors embrace events occured in the cities of arrival or departure — like. On demand, it instantly returns data on searches of a particular itinerary within a certain time interval (30 days by default.)

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. The SSB has also been used for performance measurements of other modern data technologies.

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Confluent

AUGUST 29, 2019

In an identity/access management application, it’s the relationships between roles and their privileges that matters most. If you’ve found yourself needing to write very large JOIN statements or dealing with long paths through your data, then you are probably facing a graph problem. Here we go! Step 1: Graph the network with Neo4j.

Kafka 55

Kafka Process Algorithm Cloud 55

Knowledge Hut

DECEMBER 26, 2023

In recent years, with the advent of technology, data has been considered to be a valuable asset in both large-scale and small-scale organizations. Data as a resource requires skilled professionals to be collected, interpreted, and stored safely.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Monte Carlo

JULY 10, 2023

Missing values Incomplete data can sometimes look like missing values throughout a data set, such as: Missing salary numbers in HR data sets Missing phone numbers in a CRM Missing location data in a marketing campaign Missing blood pressure data in an EMR Missing transaction in a credit ledger And the list goes on.

Data Collection 40

Data Collection Data Governance Government Data 40

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. Cloudera does this via materialized views that are accessible via API. What about data lock-in? Is this yet another database?

Database-centric 82

Database-centric Kafka Pipeline-centric Database 82

Data Engineering Weekly

MARCH 24, 2023

Data engineering starts to add value to the business by capturing events at each step of the business process. The events are then further enriched and analyzed to bring visibility to business operations. Architectural patterns for Data Creation There are three types of architecture patterns in data creation.

Engineering 67

Engineering Data Transportation Database 67

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 119

Generalist Telecommunication Healthcare Data 119

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data marts contain a subset of the data in data warehouses.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Ascend.io

NOVEMBER 14, 2023

LLMs (large language models, a specific type of AI) in the form of OpenAI’s ChatGPT and Google’s Bard are just the latest, more visible wave of these technologies. Old organizational structures and patterns will assert themselves, often blocking truly transformational shifts that are on offer through these new technologies.

Pipeline-centric 52

Pipeline-centric Government Data Pipeline Recruitment 52

Knowledge Hut

JANUARY 18, 2024

We live in the digital world, where we have the access to a large volume of information. However, while anyone may access raw data, you can extract relevant and reliable information from the numbers that will determine whether or not you can achieve a competitive edge for your company. Step 2: Implement analytics.

Data Science 52

Data Science Media Food Data 52

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. In the event that they are not the same, what are the difference s? Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Data Engineering Weekly

DECEMBER 18, 2022

Given the characteristic, are we having a “Big Data” problem? Can we spin off a machine with all the data stack and run through the analysis? The author writes an exciting blog, Modern data stack in a Box!! The author writes an exciting blog, Modern data stack in a Box!!

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Rockset

DECEMBER 31, 2022

This can allow your system to adjust according to the amount of data traffic, helping you to avoid issues with performance while reducing costs. Access to control rules As data gets more specific and personal, it becomes more important to have effective access control. This is a great advantage for diagnostics.

Non-relational Database 52

Non-relational Database Healthcare Amazon Web Services NoSQL 52

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. For data access, Synapse SQL, an enhanced version of TSQL, is used. Over a million events per second can be processed by Azure Stream Analytics, and the results can be delivered with extremely low latency.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

Knowledge Hut

FEBRUARY 6, 2024

DevOps is a vast environment that fits almost all technologies and processes into it. TCP/IP, DNS, SMTP, HTTP, and distributed networks) Excellent written and verbal English communication skills Self-learner, team layer, willingness to learn new technologies and ability to resolve issues independently and deliver results.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

Snowflake

JANUARY 23, 2023

If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. Because being able to assimilate data from different channels and across multiple marketing touchpoints gives you visibility into the overall impact of a campaign, event, or another marketing effort.

Data Integration 57

Data Integration Data Data Warehouse Business Analyst 57

Snowflake

AUGUST 25, 2023

Our Code Llama fine-tuned (7b, 34b) for text-to-SQL outperforms base Code Llama (7b, 34b) by 16 and 9 percent-accuracy points respectively Evaluating performance of SQL-generation models Performance of our text-to-SQL models is reported against the “dev” subset of the Spider data set. and never had bike availability below 7?

Coding 76

Coding SQL Data Cleanse Database 76

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data.

Big Data 52

Big Data Data Process Process Hadoop 52

Snowflake

MARCH 30, 2023

Snowpipe micro-batch into Snowflake: Either triggered through a cloud service provider’s messaging service (such as AWS SQS , Azure Event notification , or Google Pub/Sub ) or making calls to Snowpipe ’s REST API endpoints. Schema drift on a wide table structure needs an ALTER TABLE statement, whereas the tall table structure does not.

Engineering 83

Engineering Raw Data Data Science Scala 83

AltexSoft

NOVEMBER 1, 2023

The categories encompass a diverse range of subjects present within the text, including individuals’ names, geographic locations, organizational names, dates, events, and even specific quantitative values such as money and percentages. Once trained, the model can then predict or annotate named entities in raw, unlabeled data.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52