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class="w-dyn-bind-empty"></div></a><div>•</div><div>November 28, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/common-table-expression" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67483899248651771610a657_Common%20Table%20Expressions%20(CTE).png" class="library-blog_image"/></div><div class="library-blog_content-type"><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 48 48" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M0 2.648C0 1.18667 1.18667 0 2.648 0H45.352C46.8133 0 48 1.18667 48 2.648V45.352C47.9993 46.0541 47.7201 46.7272 47.2236 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aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 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10.6667H12.334V1.33333H1.66732V3.43533C1.22613 3.36731 0.780382 3.33321 0.333984 3.33333V0.666667C0.333984 0.489856 0.404222 0.320286 0.529246 0.195262C0.654271 0.0702379 0.82384 0 1.00065 0ZM7.66732 12H6.33398C6.33398 10.4087 5.70184 8.88258 4.57663 7.75736C3.45141 6.63214 1.92528 6 0.333984 6V4.66667C4.38398 4.66667 7.66732 7.95 7.66732 12ZM5.00065 12H3.66732C3.66732 11.5623 3.5811 11.1288 3.41358 10.7244C3.24607 10.32 3.00054 9.95251 2.69101 9.64298C2.38148 9.33345 2.01401 9.08792 1.6096 8.9204C1.20518 8.75289 0.771724 8.66667 0.333984 8.66667V7.33333C1.57166 7.33333 2.75865 7.825 3.63382 8.70017C4.50899 9.57534 5.00065 10.7623 5.00065 12ZM2.33398 12H0.333984V10C0.864417 10 1.37313 10.2107 1.7482 10.5858C2.12327 10.9609 2.33398 11.4696 2.33398 12Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 8.03758 9.66747 8.12036 9.66732 8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">4 Database Schema Examples for Various Applications</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 26, 2024</div><div>•</div><div 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6.72664 7.01244 6.83514 6.89042C6.94365 6.76839 7.09317 6.69044 7.25533 6.67133L7.33333 6.66667L10.6667 6.666V1.33333ZM10.114 7.99933L8 8V10.1127L10.114 7.99933Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 12 14" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M11.3333 13.6667H0.666667C0.489856 13.6667 0.320286 13.5965 0.195262 13.4714C0.0702379 13.3464 0 13.1769 0 13V1.00004C0 0.82323 0.0702379 0.65366 0.195262 0.528636C0.320286 0.403612 0.489856 0.333374 0.666667 0.333374H11.3333C11.5101 0.333374 11.6797 0.403612 11.8047 0.528636C11.9298 0.65366 12 0.82323 12 1.00004V13C12 13.1769 11.9298 13.3464 11.8047 13.4714C11.6797 13.5965 11.5101 13.6667 11.3333 13.6667ZM10.6667 12.3334V1.66671H1.33333V12.3334H10.6667ZM2.66667 3.00004H5.33333V5.66671H2.66667V3.00004ZM2.66667 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7.66732 12ZM5.00065 12H3.66732C3.66732 11.5623 3.5811 11.1288 3.41358 10.7244C3.24607 10.32 3.00054 9.95251 2.69101 9.64298C2.38148 9.33345 2.01401 9.08792 1.6096 8.9204C1.20518 8.75289 0.771724 8.66667 0.333984 8.66667V7.33333C1.57166 7.33333 2.75865 7.825 3.63382 8.70017C4.50899 9.57534 5.00065 10.7623 5.00065 12ZM2.33398 12H0.333984V10C0.864417 10 1.37313 10.2107 1.7482 10.5858C2.12327 10.9609 2.33398 11.4696 2.33398 12Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 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11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">Prescriptive Analytics: Examples, How It Works, & Challenges</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 26, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/setup-dbt-staging-environment" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67459f3174d6c1555c9fdb2a_Setup%20dbt%20Staging%20Environment.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, 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aria-hidden="true" role="img"> <path d="M11.3333 13.6667H0.666667C0.489856 13.6667 0.320286 13.5965 0.195262 13.4714C0.0702379 13.3464 0 13.1769 0 13V1.00004C0 0.82323 0.0702379 0.65366 0.195262 0.528636C0.320286 0.403612 0.489856 0.333374 0.666667 0.333374H11.3333C11.5101 0.333374 11.6797 0.403612 11.8047 0.528636C11.9298 0.65366 12 0.82323 12 1.00004V13C12 13.1769 11.9298 13.3464 11.8047 13.4714C11.6797 13.5965 11.5101 13.6667 11.3333 13.6667ZM10.6667 12.3334V1.66671H1.33333V12.3334H10.6667ZM2.66667 3.00004H5.33333V5.66671H2.66667V3.00004ZM2.66667 7.00004H9.33333V8.33337H2.66667V7.00004ZM2.66667 9.66671H9.33333V11H2.66667V9.66671ZM6.66667 3.66671H9.33333V5.00004H6.66667V3.66671Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 14 12" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M1.00065 0H13.0007C13.1775 0 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19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 8.03758 9.66747 8.12036 9.66732 8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">What Is a Slowly Changing Dimension? A Comprehensive Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 26, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/data-obfuscation" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67459781bbb4bc2107f5107b_What%20is%20Data%20Obfuscation.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67459781bbb4bc2107f5107b_What%20is%20Data%20Obfuscation-p-500.png 500w, 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5.33333V42.6667H42.6667V5.33333H5.33333ZM20.3253 14.44L33.336 23.112C33.4823 23.2094 33.6023 23.3414 33.6853 23.4963C33.7683 23.6512 33.8117 23.8243 33.8117 24C33.8117 24.1758 33.7683 24.3488 33.6853 24.5037C33.6023 24.6586 33.4823 24.7906 33.336 24.888L20.3227 33.56C20.1622 33.6664 19.976 33.7273 19.7837 33.7364C19.5914 33.7455 19.4002 33.7024 19.2304 33.6116C19.0607 33.5208 18.9186 33.3858 18.8194 33.2209C18.7201 33.0559 18.6673 32.8672 18.6667 32.6747V15.3253C18.667 15.1324 18.7197 14.9432 18.8191 14.7778C18.9185 14.6125 19.0609 14.4771 19.2311 14.3863C19.4013 14.2954 19.5929 14.2525 19.7856 14.2619C19.9783 14.2714 20.1648 14.3329 20.3253 14.44Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 12 12" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M12 8L8 11.9973L0.668 12C0.491657 12.0007 0.322246 11.9314 0.19699 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1.00065 0ZM7.66732 12H6.33398C6.33398 10.4087 5.70184 8.88258 4.57663 7.75736C3.45141 6.63214 1.92528 6 0.333984 6V4.66667C4.38398 4.66667 7.66732 7.95 7.66732 12ZM5.00065 12H3.66732C3.66732 11.5623 3.5811 11.1288 3.41358 10.7244C3.24607 10.32 3.00054 9.95251 2.69101 9.64298C2.38148 9.33345 2.01401 9.08792 1.6096 8.9204C1.20518 8.75289 0.771724 8.66667 0.333984 8.66667V7.33333C1.57166 7.33333 2.75865 7.825 3.63382 8.70017C4.50899 9.57534 5.00065 10.7623 5.00065 12ZM2.33398 12H0.333984V10C0.864417 10 1.37313 10.2107 1.7482 10.5858C2.12327 10.9609 2.33398 11.4696 2.33398 12Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 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8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">What is Data Harmonization?</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 20, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a 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0.00070596 46.0541 0 45.352V2.648ZM5.33333 5.33333V42.6667H42.6667V5.33333H5.33333ZM20.3253 14.44L33.336 23.112C33.4823 23.2094 33.6023 23.3414 33.6853 23.4963C33.7683 23.6512 33.8117 23.8243 33.8117 24C33.8117 24.1758 33.7683 24.3488 33.6853 24.5037C33.6023 24.6586 33.4823 24.7906 33.336 24.888L20.3227 33.56C20.1622 33.6664 19.976 33.7273 19.7837 33.7364C19.5914 33.7455 19.4002 33.7024 19.2304 33.6116C19.0607 33.5208 18.9186 33.3858 18.8194 33.2209C18.7201 33.0559 18.6673 32.8672 18.6667 32.6747V15.3253C18.667 15.1324 18.7197 14.9432 18.8191 14.7778C18.9185 14.6125 19.0609 14.4771 19.2311 14.3863C19.4013 14.2954 19.5929 14.2525 19.7856 14.2619C19.9783 14.2714 20.1648 14.3329 20.3253 14.44Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 12 12" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M12 8L8 11.9973L0.668 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10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 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class="library-blog_card"><a href="/data-engineering-resources/etl-parallel-processing" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c6b94988d12ca2f33134f_Optimizing%20ETL%20with%20Parallel%20Processing%20for%20Faster%20Data%20Loads.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c6b94988d12ca2f33134f_Optimizing%20ETL%20with%20Parallel%20Processing%20for%20Faster%20Data%20Loads-p-500.png 500w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c6b94988d12ca2f33134f_Optimizing%20ETL%20with%20Parallel%20Processing%20for%20Faster%20Data%20Loads-p-800.png 800w, 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class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 8.03758 9.66747 8.12036 9.66732 8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">Optimizing ETL with Parallel Processing for Faster Data Loads</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 19, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/data-migration-from-legacy-systems-to-modern-database" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c67cec2ccb0a69c9c9397_Data%20Migration%20from%20Legacy%20Systems%20to%20a%20Modern%20Database.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" 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12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">Data Migration from Legacy Systems to a Modern Database - Your Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 19, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/how-to-build-a-private-llm" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" 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16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">How to Build a Private LLM: A Complete Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 19, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/how-to-train-llm-with-your-own-data" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c607f8e710427afaae518_How%20to%20Train%20LLM%20on%20Your%20Own%20Data.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c607f8e710427afaae518_How%20to%20Train%20LLM%20on%20Your%20Own%20Data-p-500.png 500w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c607f8e710427afaae518_How%20to%20Train%20LLM%20on%20Your%20Own%20Data-p-800.png 800w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c607f8e710427afaae518_How%20to%20Train%20LLM%20on%20Your%20Own%20Data-p-1080.png 1080w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c607f8e710427afaae518_How%20to%20Train%20LLM%20on%20Your%20Own%20Data-p-1600.png 1600w, 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16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">How to Train LLM on Your Own Data: A Step-by-Step Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 19, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/etl-incremental-loading" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c5b205950db9f373051a6_Incremental%20Load%20in%20ETL.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c5b205950db9f373051a6_Incremental%20Load%20in%20ETL-p-500.png 500w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c5b205950db9f373051a6_Incremental%20Load%20in%20ETL-p-800.png 800w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c5b205950db9f373051a6_Incremental%20Load%20in%20ETL-p-1080.png 1080w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/673c5b205950db9f373051a6_Incremental%20Load%20in%20ETL-p-1600.png 1600w, 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aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 8.03758 9.66747 8.12036 9.66732 8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">Incremental Load in ETL: How It Works and Why It Matters</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 19, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/database-to-database-integration" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67287d00fb72e8d547b220ae_Database%20to%20Database%20Integration.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67287d00fb72e8d547b220ae_Database%20to%20Database%20Integration-p-500.png 500w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67287d00fb72e8d547b220ae_Database%20to%20Database%20Integration-p-800.png 800w, 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is-smaller">Database to Database Integration: A Practical Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>November 4, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/ocr-technology-airbyte" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67205f2f895c9b2fe1decf64_OCR.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/67205f2f895c9b2fe1decf64_OCR-p-500.png 500w, 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14.3329 20.3253 14.44Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 12 12" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path d="M12 8L8 11.9973L0.668 12C0.491657 12.0007 0.322246 11.9314 0.19699 11.8073C0.071735 11.6831 0.000882063 11.5143 0 11.338V0.662C0 0.296667 0.296667 0 0.662 0H11.338C11.7033 0 12 0.304 12 0.668V8ZM10.6667 1.33333H1.33333V10.6667H6.66667V7.33333C6.66669 7.17004 6.72664 7.01244 6.83514 6.89042C6.94365 6.76839 7.09317 6.69044 7.25533 6.67133L7.33333 6.66667L10.6667 6.666V1.33333ZM10.114 7.99933L8 8V10.1127L10.114 7.99933Z" fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 12 14" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path 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fill="currentColor"/> </svg></div><div class="library-blog_small-icon w-condition-invisible w-embed"><svg xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 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from a Database: A Comprehensive Guide</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>October 29, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/data-plane-vs-control-plane" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/672054ebeb11514fbce33c44_Data%20Plane%20vs%20Control%20Plane.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/672054ebeb11514fbce33c44_Data%20Plane%20vs%20Control%20Plane-p-500.png 500w, 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19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 21.2601V23.609C15.5138 23.376 17.6557 22.4479 19.3842 21.0334L17.7236 19.3728ZM16.0852 11.6114L10.393 7.81744C10.3228 7.77059 10.2412 7.74367 10.1569 7.73953C10.0726 7.73539 9.9887 7.7542 9.91424 7.79394C9.83977 7.83369 9.77749 7.89289 9.734 7.96523C9.69052 8.03758 9.66747 8.12036 9.66732 8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">Top Data Catalog Use Cases: Streamline Data Discovery & Governance</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>October 29, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/etl-workflows" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f7636f2526d18c0d08516_How%20to%20build%20ETL%20workflows.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f7636f2526d18c0d08516_How%20to%20build%20ETL%20workflows-p-500.png 500w, 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xmlns="http://www.w3.org/2000/svg" width="100%" height="100%" viewBox="0 0 24 24" fill="none" preserveAspectRatio="xMidYMid meet" aria-hidden="true" role="img"> <path fill-rule="evenodd" clip-rule="evenodd" d="M0.333984 11.9999C0.333984 5.95019 4.9383 0.976183 10.834 0.390869V2.73977C8.78882 2.99739 6.87405 3.92721 5.40099 5.40027C3.65065 7.15061 2.66732 9.52458 2.66732 11.9999C2.66732 14.4753 3.65065 16.8493 5.40099 18.5996C6.87405 20.0727 8.78882 21.0025 10.834 21.2601V23.609C4.9383 23.0237 0.333984 18.0497 0.333984 11.9999ZM13.1673 0.390869V2.73977C14.8275 2.9489 16.4018 3.60099 17.7236 4.62705L19.3842 2.96643C17.6557 1.55197 15.5138 0.623824 13.1673 0.390869ZM19.3735 6.27697C20.3996 7.59879 21.0517 9.17306 21.2608 10.8333H23.6097C23.3768 8.48678 22.4486 6.34485 21.0342 4.61635L19.3735 6.27697ZM21.2608 13.1666C21.0517 14.8268 20.3996 16.4011 19.3735 17.7229L21.0342 19.3835C22.4486 17.655 23.3768 15.5131 23.6097 13.1666H21.2608ZM17.7236 19.3728C16.4018 20.3989 14.8275 21.051 13.1673 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16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">What is ETL in Business Intelligence: Use Cases</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>October 28, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a href="/data-engineering-resources/steps-to-orchestrate-dbt-core-jobs" class="library-blog_card-link w-inline-block"><div class="library-blog_image-wrapper space-bottom"><img loading="lazy" alt="" src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs.png" sizes="(max-width: 479px) 92vw, (max-width: 767px) 46vw, (max-width: 991px) 29vw, (max-width: 1439px) 30vw, 410.6640625px" srcset="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs-p-500.png 500w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs-p-800.png 800w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs-p-1080.png 1080w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs-p-1600.png 1600w, https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/671f6b10f0dbcf86fc8a1c9d_Orchestrate%20dbt%20Core%20jobs-p-2000.png 2000w, 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8.20477V15.7951C9.66761 15.8793 9.6907 15.9619 9.73412 16.0341C9.77754 16.1062 9.83969 16.1653 9.91396 16.205C9.98824 16.2447 10.0719 16.2636 10.156 16.2596C10.2401 16.2556 10.3216 16.229 10.3918 16.1824L16.0852 12.3884C16.1492 12.3458 16.2017 12.2881 16.238 12.2203C16.2743 12.1525 16.2933 12.0768 16.2933 11.9999C16.2933 11.923 16.2743 11.8473 16.238 11.7796C16.2017 11.7118 16.1492 11.654 16.0852 11.6114Z" fill="currentColor"/> </svg></div><div class="w-dyn-bind-empty"></div></div><h3 fs-cmsfilter-field="title" class="library-blog_featured-title is-smaller">3 Steps to Orchestrate dbt Core Jobs Effectively</h3></a><div class="library-blog_data-wrapper"><a href="#" class="library-blog_author-link w-inline-block"><div class="w-dyn-bind-empty"></div></a><div>•</div><div>October 28, 2024</div><div>•</div><div class="text-style-italic">20 min read</div></div></div></div><div role="listitem" class="library-blog_item w-dyn-item"><div class="library-blog_card"><a 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