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Cracking the Data Engineering Interview
  • Language: en
  • Pages: 196

Cracking the Data Engineering Interview

Get to grips with the fundamental concepts of data engineering, and solve mock interview questions while building a strong resume and a personal brand to attract the right employers Key Features Develop your own brand, projects, and portfolio with expert help to stand out in the interview round Get a quick refresher on core data engineering topics, such as Python, SQL, ETL, and data modeling Practice with 50 mock questions on SQL, Python, and more to ace the behavioral and technical rounds Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionPreparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving ...

Graph Data Modeling in Python
  • Language: en
  • Pages: 236

Graph Data Modeling in Python

Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBook Key Features Transform relational data models into graph data model while learning key applications along the way Discover common challenges in graph modeling and analysis, and learn how to overcome them Practice real-world use cases of community detection, knowledge graph, and recommendation network Book Description Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With thi...

Machine Intelligence and Signal Processing
  • Language: en
  • Pages: 464

Machine Intelligence and Signal Processing

This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).

ProjectX India
  • Language: en
  • Pages: 122

ProjectX India

ProjectX India | 15th July 2022 edition provides you with power-packed information on 219 projects, contracts and tenders from 56 sectors and sub-sectors of the Indian economy. In this issue we have covered 66 projects in Conceptual/Planning Stage, 26 Contract Awards, 20 Projects Under Implementation,98 Tenders, and 9 other projects. The project information is provided along with nearest contacts as available in the public domain to facilitate B2B exchange. This e-book serves to all those who are interested to know and tap the project opportunities in the Construction, Infrastructure, and Industrial segment. Our aim is to serve you with the right information on upcoming and ongoing projects, contracts, and tenders from India. The business opportunities are coming to the fore each day, and we, at ProjectX, are eager to grab and provide the information which can make a difference to your business. Thank You and Happy Reading. Note: This is an archival edition, to get the latest issue or know more about us, you can visit our website www.projectxindia.com

DevOps for Databases
  • Language: en
  • Pages: 446

DevOps for Databases

Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practices Key Features Implement core operational capabilities via automated pipelines, including testing and rollbacks Create infrastructure, deploy software, test execution, and monitor operations using the as-code strategy Automate common implementation patterns for databases with declarative orchestration frameworks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; s...

Learn Ethereum
  • Language: en
  • Pages: 814

Learn Ethereum

Explore the beacon chain, Ethereum's PoS consensus, and the upcoming merge of Eth1 and Eth2, along with the challenges of scaling Ethereum, and an overview of L1 and L2 scaling solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn new development with Ethereum 2.0 and the planned merge of Eth1 and Eth2 Build, develop, and test end-to-end Ethereum dApps using Solidity, Node.js, and Web3 Setup private blockchains with Ethereum and delve into its wallets system Book DescriptionEthereum is a blockchain-based, decentralized computing platform that allows you to run smart contracts. With this book, you’ll discover the latest Ethereum tools, frameworks, walle...

Handbook of Research on Artificial Intelligence Techniques and Algorithms
  • Language: en
  • Pages: 913

Handbook of Research on Artificial Intelligence Techniques and Algorithms

  • Type: Book
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  • Published: 2014-11-30
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  • Publisher: IGI Global

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Data Wrangling with SQL
  • Language: en
  • Pages: 351

Data Wrangling with SQL

Become a data wrangling expert and make well-informed decisions by effectively utilizing and analyzing raw unstructured data in a systematic manner Purchase of the print or Kindle book includes a free PDF eBook Key Features Implement query optimization during data wrangling using the SQL language with practical use cases Master data cleaning, handle the date function and null value, and write subqueries and window functions Practice self-assessment questions for SQL-based interviews and real-world case study rounds Book DescriptionThe amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly a...

Graph Data Processing with Cypher
  • Language: en
  • Pages: 332

Graph Data Processing with Cypher

Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queries Key Features Work with Cypher syntax and semantics while building graph traversal queries Get up and running with advanced Cypher concepts like List, Maps, OPTIONAL MATCH Master best practices in writing effective queries leveraging data modeling and patterns Book DescriptionWhile it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. ...

Data Engineering with Scala and Spark
  • Language: en
  • Pages: 300

Data Engineering with Scala and Spark

Take your data engineering skills to the next level by learning how to utilize Scala and functional programming to create continuous and scheduled pipelines that ingest, transform, and aggregate data Key Features Transform data into a clean and trusted source of information for your organization using Scala Build streaming and batch-processing pipelines with step-by-step explanations Implement and orchestrate your pipelines by following CI/CD best practices and test-driven development (TDD) Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting t...